JP5898357B2 - Cell analysis method, cell analysis apparatus, and cell analysis program - Google Patents

Description

  The present invention relates to a cell analysis method, a cell analysis device, and a cell analysis program.

  Stem cells such as human-derived ES cells and iPS cells have the ability to differentiate into many types of cells, and human cells that have been difficult to date, such as elucidation of diseases, drug discovery screening, toxicity tests, and regenerative medicine, were used. It is attracting attention because it can be applied to large-scale drug efficacy evaluation and medical treatment. It is said that the differentiation efficiency at the time of inducing differentiation from these stem cells to a target cell depends largely on the state of the stem cell as a starting material. That is, if stem cells maintain pluripotency and do not maintain an undifferentiated state, the efficiency of differentiation induction decreases. Therefore, in order to industrially apply these stem cells, it is extremely important to manage the quality of the stem cells in the process of culturing the stem cells, and it is necessary to monitor the stem cells and determine the state. Moreover, in this management process, it is necessary to determine cells non-invasively in a cultured state.

  Patent document 1 analyzes a cell image, and from the area | region where the area | region which forms the colony (cell population which consists of several cells of about several thousand-several tens of thousands) and the area | region which is not formed are mixed, colony Disclosed is a cell image analysis device that specifies a region forming a colony and acquires information such as the position and size of a colony region. In particular, the single cell region that forms a colony has a shape close to a circular shape, and is different from the colony region according to the roundness (such as a value that is small when it is a circle and large when it is outside the circle). It is distinguished from the colony area.

  In the cell state determination device described in Patent Document 2, in the device for determining the active state of floating cells, the better the cell state, the closer the shape of the floating cell is to a circle, and the worse the state, the greater the ellipticity, First, an image of floating cells is acquired from the viewpoint of an irregular shape. Next, the outline of the floating cell in the acquired phase image is extracted, and it is determined how close the extracted outline of the floating cell is to a circle.

  In the culture medium evaluation apparatus described in Patent Document 3, by using the polarization characteristics of cells and comparing the light intensity between the inside of the cell and the end of the cell, the living cell and the dead cell Identify. In particular, living cells are said to be dark inside and bright outside, and an image having a high contrast can be obtained using a phase contrast microscope.

JP 2011-24485 A JP 2008-212017 A Special table 2003-52974 gazette

  In the method of visually observing and judging the shape of cells and colonies using an optical microscope, the judgment result is likely to depend on the subjectivity and experience of the observer. It can also be an obstacle to mass culture. Furthermore, since the number of cells constituting the cell distribution in the colony is large, the difficulty is further increased compared with visual observation of a single cell. Therefore, it is considered that there is an industry need for a quantitative and automated stem cell, cell colony state determination method, apparatus, and program.

  In the examples described in Patent Documents 1 and 2 above, a circular shape is extracted from the acquired cell image, and the cells are evaluated based on the extracted circular roundness, area, circumference, and the like. However, even cells with poor quality may have a circular shape, and the above method cannot accurately evaluate and identify whether the cells forming the colony are cells with good quality.

  Further, in the example described in Patent Document 3, the inside of the cell and the end of the cell are compared. However, in a colony, a plurality of cells are densely packed and the cells are often in contact with each other, and it is not easy to accurately extract the ends of the cells. Therefore, if an error occurs in the extraction of the cell edge, the result of cell discrimination is also adversely affected.

  Therefore, the present invention has been made in view of the above, and an object of the present invention is to provide a method, an apparatus, and a program for discriminating the state of a stem cell with high accuracy, which is quantitative and can be automated.

  The cell analysis method according to the present invention is a cell analysis method for analyzing a stem cell using an optical path length image of a stem cell, an acquisition step of acquiring an optical path length image of the stem cell, and an optical path length image acquired in the acquisition step In the comparison step of comparing the optical path length value of the portion constituting the cell nucleus of the stem cell and the optical path length value of the portion constituting the cytoplasm of the stem cell, the cell nucleus of the stem cell is constituted based on the comparison result in the comparison step An analysis step of determining that a stem cell having a larger optical path length value in a portion constituting the cytoplasm than a partial optical path length value is a good stem cell.

  The cell analysis device according to the present invention is a cell analysis device that analyzes stem cells using an optical path length image of a stem cell, an acquisition unit that acquires an optical path length image of the stem cell, and an optical path length image acquired by the acquisition unit The cell nuclei of stem cells are composed based on the comparison results of the comparison means in the comparison means for comparing the optical path length values of the portions constituting the cell nucleus of the stem cells and the optical path length values of the portions constituting the cytoplasm of the stem cells with Analyzing means for determining that a stem cell having a larger optical path length value in a portion constituting the cytoplasm than a partial optical path length value is a good stem cell.

  In the cell analysis program according to the present invention, the computer uses a stem cell optical path length image to analyze the stem cell, and in the stem cell optical path length image, the value of the optical path length of the part constituting the cell nucleus of the stem cell. Comparing the optical path length value of the portion constituting the cytoplasm of the stem cell, and the optical path length value of the portion constituting the cell nucleus of the stem cell based on the comparison result of the comparison means and the comparison result of the comparing means, the cytoplasm is constituted A stem cell having a large value of the optical path length of the portion is operated as an analysis means for determining that it is a good stem cell.

  The cell analysis method further includes an extraction step of extracting a shape corresponding to the cell nucleus of the stem cell in the optical path length image, and in the comparison step, the value of the optical path length inside the shape corresponding to the cell nucleus extracted in the extraction step The optical path length value of the portion constituting the cell nucleus may be used, and the optical path length value outside the shape corresponding to the cell nucleus may be compared as the optical path length value of the portion constituting the cytoplasm.

  The cell analysis apparatus further includes an extraction unit that extracts a shape corresponding to the cell nucleus of the stem cell in the optical path length image, and the comparison unit includes an optical path length value inside the shape corresponding to the cell nucleus extracted by the extraction unit. The optical path length value of the portion constituting the cell nucleus may be used, and the optical path length value outside the shape corresponding to the cell nucleus may be compared as the optical path length value of the portion constituting the cytoplasm.

  Further, the cell analysis program causes the computer to further operate as an extraction unit that extracts a shape corresponding to the cell nucleus of the stem cell in the optical path length image, and the comparison unit includes an inside of the shape corresponding to the cell nucleus extracted by the extraction unit. The optical path length value may be the optical path length value of the portion constituting the cell nucleus, and the optical path length value outside the shape corresponding to the cell nucleus may be compared as the optical path length value of the portion constituting the cytoplasm.

  In the cell analysis method, apparatus, and program described above, the optical path length may be a phase difference or an optical thickness.

  In the cell analysis method, the acquisition step may be configured to acquire an optical path length image using a quantitative phase microscope or a phase contrast microscope. In the cell analysis device, the acquisition unit may include a quantitative phase microscope or a phase contrast microscope.

  In the above cell analysis method, apparatus, and program, the stem cell may be an iPS stem cell or an ES stem cell.

  In the cell analysis method, apparatus, and program described above, the stem cell may be a stem cell included in a cell colony composed of a plurality of stem cells.

  These stem cells form a colony (a cell population composed of several thousands to several tens of thousands of cells), and a technique for judging the quality in the state of the colonies is required. A colony is not necessarily composed of cells of uniform quality, and the characteristics of the cells differ depending on the site. Therefore, it is desirable to obtain information such as a map that can grasp the distribution of the state of cells inside the colony using the state of individual cells constituting the colony as an index.

  The cell analysis method is a cell analysis method in a cell analysis device that analyzes the cell colony using an optical path length image of a cell colony composed of a large number of cells, and the cell analysis device acquisition means includes: Obtaining an optical path length image of the cell colony; and extracting means for extracting a circular shape corresponding to the cell nucleus of the cell in the obtained optical path length image by the extraction means of the cell analyzer, and A comparison step in which the comparison unit of the cell analysis device compares the inner optical path length and the outer optical path length with respect to the extracted circular shape, and the analysis unit of the cell analysis device determines whether the cell is based on the comparison result. An analysis step for analyzing a colony.

  The cell analysis device is a cell analysis device that analyzes the cell colony using an optical path length image of a cell colony composed of a large number of cells, and obtains an optical path length image of the cell colony And an extracting means for extracting a circular shape corresponding to the cell nucleus of the cell in the acquired optical path length image, and a comparing means for comparing the inner optical path length and the outer optical path length with respect to the extracted circular shape. And an analysis means for analyzing the cell colony based on the comparison result.

  In addition, the cell analysis program obtains an optical path length image of the cell colony in a cell analysis device that analyzes the cell colony using an optical path length image of a cell colony composed of a large number of cells. Means for extracting a circular shape corresponding to the cell nucleus of the cell in the acquired optical path length image, and comparing the inner optical path length and the outer optical path length with respect to the extracted circular shape It can be configured to operate as a means and an analysis means for analyzing the cell colony based on the comparison result.

  According to the cell analysis method, the cell analysis apparatus, and the cell analysis program having such a configuration, the analysis of the cell colony can be performed with high accuracy by a quantitative and automated technique. That is, by providing both a procedure for extracting a circular shape corresponding to the cell nucleus and a procedure for comparing the inner optical path length and the outer optical path length for the circular shape, the analysis of the cell colony is quantitative and It can be performed with high accuracy by an automated method. Focusing on the difference between the optical path length inside and outside the cell nucleus, that is, the difference between the optical path length in the cell nucleus and the optical path length in the cytoplasm around the cell nucleus, the unique information of high-quality cells is used for analysis of cell colonies This is because cell colony analysis can be realized by a quantitative and automated technique. Furthermore, by focusing on the quantitative difference in the optical path length as well as the information on the shape of the round shape, it is possible to compensate for the fact that proper analysis could not be performed simply by extracting the circular shape. This is because high-level analysis can be realized.

  In Patent Document 3 described above, since the brightness of the inside of the cell and the brightness of the outside of the cell are compared, it is necessary to accurately extract the outline of the cell, but the cells forming the cell colony are adjacent to each other. In some cases, the boundary between cells is not clear, and the outline of the cell cannot always be extracted accurately. On the other hand, the above configuration is different in that the optical path lengths inside and outside the cell nucleus are compared. Even if a cell colony is formed, a cell in good condition can be clearly distinguished from the inside and outside of the cell nucleus because the boundary of the cell nucleus can be clearly distinguished by the difference in refractive index between the cell nucleus and the cytoplasm. Therefore, according to the said structure, a highly accurate analysis of a cell colony is realizable.

  As described above, the state of cell colonies can be objectively compared with anyone who has been evaluated by the experience of the examiner by performing quantitative and automated techniques with high accuracy. It becomes a numerical value, and ambiguous elements such as the subjectivity of the examiner, physical condition, and variation between examiners can be eliminated. This makes it possible to analyze a uniform cell colony based on a certain criterion that does not depend on the skill of the examiner. In addition, the physical pain of the examiner who has been judged by observing a large number of cells and cell colonies with the naked eye can be alleviated. In addition, for example, by applying a stepped numerical value, it is possible to grasp a change with time of the state. In this case, for example, it is possible to determine a sign that the state is deteriorated early after the start of culture. For this reason, the chances of recovery before the state becomes worse increases, the yield rate of the whole process improves, and waste of culture materials can be avoided, leading to a reduction in production costs. Furthermore, the same judgment criteria can be easily brought into the process of another producer, and it becomes possible to provide cells of different quality between different producers.

  In the above configuration, in the comparison step and the analysis step, when the outer optical path length is larger than the inner optical path length in the circular shape, the cell may be determined as a good quality cell. .

  According to this configuration, a specific method for determining high-quality cells is provided. The determination method based on this configuration is based on the following consideration by the inventors. That is, from the experimental results by the inventors, it has been found that the shape of the cell nucleus is circular only in high-quality cells, and the optical path length inside the cell nucleus is smaller than the optical path length outside the cell nucleus. On the other hand, cells of poor quality are found to have a non-circular shape of the cell nucleus, or the optical path length inside the cell nucleus is the same or larger than the optical path length outside the cell nucleus even if it is circular. It was. Therefore, the difference in the optical path length between the inner side and the outer side of the cell nucleus is compared, and when the outer optical path length is larger than the inner optical path length, the cell can be determined as a cell of good quality.

  In the above configuration, in the analysis step, the cell colony may be determined as a high-quality cell colony when the number of cells determined as the high-quality cells per unit area is equal to or greater than a threshold value. .

  According to this configuration, a specific method for discriminating cell colonies having good quality from those that are not so is provided. This is consistent with the purpose of industrial application of quality control per cell colony. This is because evaluating each cell individually does not increase the throughput. This technique is based on the characteristics of cell colonies. In other words, since a cell colony is formed by dividing and proliferating cells, there are many cells with good quality around them, and many cells with poor quality around cells with poor quality. Tend to exist. From this point of view, the number of cells per unit area determined to be high-quality cells can be said to be appropriate as a criterion for distinguishing cell colonies with good quality from those with low quality.

  Moreover, the said structure WHEREIN: The display means of the said cell analyzer may further comprise the display step which specifies and displays the area | region contained in the cell colony judged that the said quality is good.

  According to this configuration, a specific method for allowing the user of the above configuration to easily check the analysis result of the cell colony by the above configuration is provided.

  In the above configuration, the optical path length image may be a quantitative optical path length image.

  According to this configuration, it is possible to easily compare the inner optical path length and the outer optical path length in the circular shape by the quantitative optical path length image.

  In the above configuration, the circular shape may be a true circular shape.

  According to this configuration, a primary determination criterion for high-quality cells is provided. Depending on the accuracy and purpose of cell analysis, it can be adopted as the criterion that the circular shape is a true circular shape.

  In the above configuration, the true circular shape may be a true circular shape having a predetermined range of diameters.

  According to this configuration, a primary determination criterion for high-quality cells is provided. Depending on the accuracy and purpose of cell analysis, it can be adopted as the judgment criterion that the circular shape is a true circular shape having a predetermined range of diameters.

  In the above configuration, the circular shape may be an elliptical shape.

  According to this configuration, a primary determination criterion for high-quality cells is provided. Depending on the accuracy and purpose of cell analysis, the determination that the circular shape is an elliptical shape can be adopted.

  In the above configuration, the cell may be a stem cell.

  This configuration can be used for industrial applications of stem cells including iPS cells and ES cells. For example, if this configuration is applied to a stem cell culture apparatus or the like, the determination of stem cells and stem cell colonies being cultured can be performed by a quantitative and automated method, and can be performed with higher accuracy, thus saving labor. And mass production becomes possible.

  According to the present invention, it is possible to provide a cell analysis method, a cell analysis apparatus, and a cell analysis program that are quantitative and can be automated and can determine the state of a stem cell with higher accuracy.

It is the image of a quantitative phase microscope which shows the example of a stem cell with good quality, and a stem cell with poor quality. It is a figure for demonstrating the characteristic of a quality stem cell. It is a figure for demonstrating the characteristic of the stem cell with bad quality. (A) is a figure which shows the result of having measured the optical path length of a cell nucleus, (B) is a figure which shows the result of having measured the optical path length of cytoplasm (outside of a cell nucleus). Based on the measurement result of the optical path length in FIG. 4, the ratio of the optical path length between the cell nucleus and the cytoplasm ((A) in the figure), and the average ratio of the optical path length when the total number of stem cells is 100 ((B) in the figure) FIG. 1 is a configuration diagram of a cell analysis system 1. FIG. 2 is a schematic diagram showing a functional configuration of a cell analysis device D. FIG. It is a schematic diagram which shows the hardware constitutions of the cell analyzer D. 3 is a flowchart showing an operation performed by the cell analysis system 1. It is a figure which shows the cell colony judged to be good quality by the method of step S5 of FIG. It is a figure which shows the cell colony judged not to be good quality by the method of step S5 of FIG. It is a figure which shows the cell colony in case the part judged to be good quality by the method of step S5 of FIG. 9 and the part judged not to be quality are mixed. It is a figure which shows an example of the display by the display part D5. It is a figure for showing that the result similar to the result by visual observation is obtained by the judgment method in this embodiment. It is a figure for demonstrating the operation | movement by the display part D5 in detail.

  DESCRIPTION OF EMBODIMENTS Hereinafter, preferred embodiments of a cell analysis method, a cell analysis device, and a cell analysis program according to the present invention will be described in detail with reference to the accompanying drawings. In the description of the drawings, the same elements are denoted by the same reference numerals, and redundant description is omitted.

(Basic concept)
First, the basic concept of the present invention will be described first. FIG. 1 is an image of a quantitative phase microscope showing an example of a stem cell with good quality ((A) in FIG. 1) and a stem cell with poor quality ((B) in FIG. 1). An object of the present invention is to provide a method, an apparatus, and a program for discriminating between cells and cells of poor quality quantitatively and automatically, and with higher accuracy, thereby discriminating the state of cell colonies.

  FIG. 2 is a diagram for explaining the characteristics of high-quality stem cells as shown in FIG. In FIG. 2A, the solid line shows the outline of the stem cell, the broken line shows the outline of the nucleus of the stem cell, and the alternate long and short dash line shows the line profile. As shown in FIG. 2A, high-quality stem cells tend to have a perfect circle in their nuclei (see broken line). FIG. 2B is a diagram showing the optical path length by associating the line profile indicated by the alternate long and short dash line in FIG. 2A with the horizontal axis. As shown in FIG. 2 (B), it can be seen that a high-quality stem cell has a smaller optical path length inside the cell nucleus than that outside. The “optical path length” in the present embodiment can also be understood as “phase difference” or “optical thickness”. However, for convenience of explanation, the term is collectively described as “optical path length” below.

  FIG. 3 is a diagram for explaining the characteristics of stem cells with poor quality as shown in FIG. In FIG. 3A, the solid line indicates the outline of the stem cell, the broken line indicates the outline of the nucleus of the stem cell, and the alternate long and short dash line indicates the line profile. As shown in FIG. 3A, even in a stem cell with poor quality, the nucleus may form a perfect circle (see broken line). FIG. 3B is a diagram illustrating the optical path length by associating the line profile indicated by the alternate long and short dash line in FIG. 3A with the horizontal axis. As shown in FIG. 3 (B), it can be seen that a stem cell with poor quality has an optical path length on the inner side of the cell nucleus smaller than that on the outer side even if the cell nucleus is a perfect circle. .

  As can be seen in FIGS. 2 and 3, the critical difference between high-quality stem cells and poor-quality stem cells is the optical path length inside and outside the cell nucleus, not whether the cell nucleus is a perfect circle or not. Although not shown, if the cell nucleus is not a perfect circle, the stem cell tends to be a poor quality stem cell. Therefore, in this configuration, by comparing whether or not the cell nucleus is a perfect circle and the optical path lengths inside and outside the cell nucleus, it is possible to quantitatively distinguish between the high-quality cells and the poor-quality cells. In addition, it is possible to provide a method, an apparatus, and a program for discriminating with higher accuracy and thereby discriminating the state of a cell colony.

  FIG. 4 and FIG. 5 are diagrams for further explaining that the decisive difference between a high quality stem cell and a poor quality stem cell is the optical path length inside and outside the cell nucleus. FIG. 4A shows the result of measuring the optical path length of the cell nucleus. Graph A shows the optical path length of the cell nucleus of a high quality stem cell, and graph B shows the optical path length of the cell nucleus of a stem cell of poor quality. . FIG. 4B shows the result of measuring the optical path length of the cytoplasm (outside the cell nucleus). Graph A shows the optical path length of the cytoplasm of a good quality stem cell, and graph B shows the stem quality of a poor quality. The optical path length of the cytoplasm is shown. 5 (A) and 5 (B), based on the measurement result of the optical path length in FIG. 4, the ratio of the optical path length between the cell nucleus and the cytoplasm ((A) in FIG. 5) and the total number of stem cells were set to 100. The average ratio of the optical path length in the case ((B) of FIG. 5) is shown. In FIG. 5A, graph A shows the case of a stem cell with good quality, and graph B shows the case of a stem cell with poor quality. In FIG. 5B, the left bar (symbol A) shows a case of a stem cell with good quality, and the right bar (symbol B) shows a case of a stem cell with poor quality. As shown in these figures, there is a clear difference in optical path length between high-quality stem cells and poor-quality stem cells. Based on this, high-quality stem cells and poor-quality stem cells It is quantitative and can be automated, and can be determined with higher accuracy.

(Configuration of cell analysis system 1)
Subsequently, the configuration of the cell analysis system 1 according to the embodiment of the present invention will be described. The cell analysis system 1 analyzes a cell colony using an optical path length image of a cell colony composed of a large number of cells. 6 is a configuration diagram of the cell analysis system 1, FIG. 7 is a schematic diagram showing a functional configuration of the cell analysis device D, and FIG. 8 is a schematic diagram showing a hardware configuration of the cell analysis device D.

  As shown in FIG. 6, the cell analysis system 1 mainly includes a quantitative phase microscope A and a cell analysis device D. The quantitative phase microscope A includes a microscope main body A1 including a sample stage A4 that supports the measurement sample S, an objective lens A5, a reflection part A6, and a light interference part A7. On the light incident side of the microscope main body A1, a lens A2 facing the emission-side end face B1 of the optical fiber B that guides irradiation light H0 (laser light) from a light emission unit (not shown) and the lens A2 pass. A reflection part A3 that reflects the light H0 is provided. On the other hand, on the light emission side, an imaging device C such as a CCD camera that images an interference fringe (not shown, the same applies hereinafter) generated by the optical interference unit A7, and the interference fringe is connected to the imaging device C. And a cell analysis device D for analyzing the above.

[Configuration of Quantitative Phase Microscope A]
The sample stage A4 is, for example, substantially plate-shaped having a light transmission part A41 capable of transmitting light at the center and having a placement surface A42 on which the measurement sample S can be placed. By irradiating light from above with the measurement sample S placed on the placement surface A42, the light transmitted through the measurement sample S (measured light H1) passes through the light transmission part A41 and travels toward the objective lens A5. I am doing so. The light transmitting portion A41 may be formed from a member that can transmit light, such as glass, or may be a simple hole. The objective lens A5, for example, expands incident measurement light H1 at a predetermined magnification according to the operation based on an operation of an operation unit (not shown), and emits it as parallel light (measurement light H1). Is. The reflection part A6 is, for example, a total reflection type mirror, and allows the light to be measured H1 from the objective lens A5 to be totally reflected and introduced into the light interference part A7. The optical interference unit A7 splits the light to be measured H1 into two lights H1a and H1b, and the light to be measured H1 (H1a and H1b) emitted from the light separation element A71 is converged light H2 (H2a). , H2b), a converging lens A72, a spatial filter A73 disposed at the convergence position of the convergent light H2, an object fringe passing through the spatial filter A73 and the reference light H4 are superimposed to generate an interference fringe. And a lens A75. Here, the light separating element A71 is configured using a diffraction grating. Furthermore, the light separation element A71 may be a polarization separation element that separates two light beams having different polarization directions. In that case, the optical interference unit A7 separates the measured light H1 into two light beams H1a and H1b having different polarization directions, and a condensing lens A72 that converts the light beam to be converged light H2 (H2a and H2b). A spatial filter A73 disposed at the convergence position of the convergent light H2, an object light H3 and reference light H4 transmitted through the spatial filter A73, a half-wave plate A74 disposed on the emission side of the spatial filter A73, and the half-wavelength And a synthetic lens A75 that generates interference fringes by superimposing the object light H3 and the reference light H4 whose polarization directions are aligned by the plate A74. Alternatively, instead of the half-wave plate A74 disposed on the emission side of the spatial filter A73, a polarizer may be disposed to align the polarization directions of the object light H3 and the reference light H4. The configuration of the quantitative phase microscope A described above is only one example, and the present invention is not limited to this configuration example.

[Configuration of Cell Analyzer D]
Next, the configuration of the cell analysis device D will be described. As shown in FIG. 8, the cell analysis device D physically includes a main storage device such as a CPU D11, a ROM D12 and a RAM D13, an input device D14 such as a keyboard and a mouse, and an output device D15 such as a display, for example, imaging. It is configured as a normal computer system including a communication module D16 such as a network card for transmitting / receiving data to / from other devices such as the device C, an auxiliary storage device D17 such as a hard disk, and the like. Each function of the cell analysis apparatus D to be described later has an input device D14, an output device D15, and a device under the control of the CPU D11 by reading predetermined computer software on hardware such as the CPU D11, ROM D12, and RAM D13. This is realized by operating the communication module D16 and reading and writing data in the main storage devices D12 and D13 and the auxiliary storage device D17.

  As shown in FIG. 7, the cell analysis device D includes an acquisition unit D1, an extraction unit D2, a comparison unit D3, an analysis unit D4, and a display unit D5 as functional components.

  The acquisition unit D1 acquires an optical path length image of a cell colony from the imaging device C. The extraction unit D2 extracts a circular shape corresponding to the cell nucleus of the cell in the acquired optical path length image. The comparison unit D3 compares the inner optical path length and the outer optical path length with respect to the extracted circular shape. The analysis unit D4 analyzes cells and cell colonies based on the comparison result. The comparison unit D3 and the analysis unit D4 determine that the cell is a high-quality cell when the outer optical path length is larger than the inner optical path length in the circular shape. The analysis unit D4 determines that the cell colony is a high-quality cell colony when the number of cells per unit area determined to be a high-quality cell is equal to or greater than a threshold value. The display unit D5 identifies and displays a region included in a cell colony determined to have good quality.

(Operation of cell analysis system 1)
Subsequently, operations performed by the cell analysis system 1 configured as described above will be described in detail. FIG. 9 is a flowchart showing operations performed by the cell analysis system 1.

[Image acquisition procedure: Step S1]
First, the acquisition unit D1 acquires an optical path length image of a cell colony. The optical path length image of the cell colony is a quantitative optical path length image, and is obtained by imaging the output of the quantitative phase microscope A by the imaging device C and outputting it to the acquisition unit D1 of the cell analysis device D. In the present embodiment, the following operation will be described with stem cells as an example of cells.

The quantitative optical path length image acquired in step S1 includes the following five types. The following “non-stem cell” refers to, for example, a “dead stem cell”.
(A) good stem cells (b) bad stem cells with round nuclei (c) bad stem cells with irregular nuclei (d) non-stem cells with round shapes (e) stem cells Of those that are not, variants

[Circular shape extraction procedure: Step S2]
Next, the extraction unit D2 extracts a circular shape corresponding to the cell nucleus of the cell from the acquired quantitative optical path length image. The extraction unit D2 may first specify the area of the stem cell colony from the quantitative optical path length image, and then extract a circular shape corresponding to the cell nucleus of each stem cell. When extracting a circular shape, contour extraction may be first performed as preprocessing, and then a circular shape may be extracted by obtaining a portion with a high voter turnout by Hough transform on the contour image. . The Hough transform is a technique suitable for efficiently extracting a circular shape, but is not limited thereto, and for example, a circular shape may be extracted based on a curvature or the like. The circular shape extracted by the extraction unit D2 may be a true circular shape, and the true circular shape may be a true circular shape having a diameter in a predetermined range (for example, about 11 to 14 μm), or an elliptical shape. There may be.

By extracting the circular shape in step S2, the following three types remain.
(A) good stem cells (b) poor stem cells with a circular nucleus (d) non-stem cells with a round shape

[Optical path length comparison extraction procedure: Step S3]
Next, the comparison unit D3 compares the inner optical path length and the outer optical path length with respect to the circular shape extracted in step S2. As a result of the optical path length comparison, the comparison unit D3 has a value of the optical path length of the circular outer region (portion constituting the cytoplasm) compared to the value of the optical path length of the circular inner region (portion constituting the cell nucleus). Extract large ones. Here, the comparison unit D3 may perform extraction based on the determination that the average value of the optical path length outside the circular shape is equal to or greater than a predetermined threshold value compared to the average value of the optical path length inside the circular shape. good. Alternatively, the comparison unit D3 may perform extraction based on a criterion that the gradient of the horizontal and vertical profiles orthogonal to the circular shape is in the minus direction from the outer side to the inner side of the circular shape.

[Analysis Procedure No. 1, Analysis in Cell Unit: Step S4]
Next, the analysis unit D4 performs an analysis in units of cells on the one extracted in step S3. The analysis unit D4 determines that the cell is a good quality cell when the outer optical path length is larger than the inner optical path length in the circular shape extracted in step S3, that is, the circular shape extracted in step S2. This is because only (a) of (a), (b) and (d) is left in the extraction in step S3.

The above-mentioned (b) “poor stem cells having a circular nucleus in the nucleus” are excluded because the luminance difference between the inside and outside of the circular shape does not match. The reason will be described below. That is, the “optical path length” is obtained by multiplying the “refractive index” by “physical thickness” as shown in the following formula (1). In the quantitative optical path length image, the difference in optical path length is quantified. It is expressed as a light and dark image with characteristics.
Optical path length = refractive index × physical thickness (1)
Here, it is known that the refractive index of the cell nucleus (inside the cell nucleus) is generally lower than the refractive index of the cytoplasm (outside of the cell nucleus) as shown in the following formula (2) (for example, the following reference). Reference 1).
Refractive index inside cell nucleus <Refractive index outside cell nucleus ... (2)
<Reference 1>
Syntheticaperture tomographic phase microscopy for 3D imaging oflive cells intranslational motion, Niyom Lue, Wonshik Choi, Gabriel Popescu, Kamran Badizadegan, Ramachandra R. Dasari, and Michael S. Feld, Optics Express, Vol. 16, Issue 20, pp. 16240-16246 , 2008

In addition, regarding the physical thickness, a high-quality stem cell has substantially the same physical thickness inside the cell nucleus and outside the cell nucleus as shown in the following formula (3). This is because high-quality stem cells have a close cytoplasm between cell nuclei because the distance between adjacent stem cells is short.
(High quality stem cells)
Physical thickness inside cell nucleus ≒ Physical thickness outside cell nucleus ... (3)
On the other hand, a stem cell with poor quality has a much thicker physical thickness inside the cell nucleus than the physical thickness outside the cell nucleus, as shown in the following equation (4). This is because a stem cell with poor quality has a thin cytoplasm between cell nuclei because the distance between adjacent stem cells is long.
(Poor quality stem cells)
Physical thickness inside the cell nucleus >> Physical thickness outside the cell nucleus ... (4)

From the above, regarding the stem cells with good quality, the following equation (5) is established for the optical path length when the relationship between the above equations (2) and (3) is considered in equation (1).
(High quality stem cells)
Optical path length inside cell nucleus <Optical path length outside cell nucleus ... (5)
On the other hand, for stem cells with poor quality, the following equation (6) is established for the optical path length when the relationship between the above equations (2) and (4) is considered in equation (1).
(Poor quality stem cells)
Optical path length inside cell nucleus> Optical path length outside cell nucleus ... (6)

  Since the difference in optical path length is expressed as light and dark information (luminance) with quantitativeness in the quantitative optical path length image, the luminance value inside the cell nucleus is low in the quantitative optical path length image, and the luminance outside the cell nucleus. If the value looks high, that is, if the inside of the nucleus looks dark, it can be said that the stem cell is a good quality stem cell. On the other hand, if the luminance value inside the cell nucleus is high and the luminance value outside the cell nucleus appears low, that is, if the inside of the nucleus does not appear dark, it can be said that the stem cell is a stem cell of poor quality.

  For the above reason, the comparison unit D3 compares the optical path length in step S3, and as a result, the circular outer region (forms the cytoplasm) as compared with the optical path length value of the circular inner region (part constituting the cell nucleus). When a cell having a large optical path length value is extracted, it can be said that the extracted cell is a high-quality stem cell. In other words, it can be said that this extraction excludes “better stem cells whose nuclei have a circular shape” in (b).

  In addition, in the extraction in step S3, the “circular shape among non-stem cells” in (d) is also excluded because the luminance difference between the inside and outside of the circular shape does not match. The reason will be described below. That is, it is mainly dead cells that are considered as particles other than stem cells in a culture environment, and the refractive index of dead cells is higher than that of surrounding solutions. Therefore, the optical path length of dead cells is higher than the surroundings, and the luminance value inside the circular shape is high and the luminance value outside the circular shape is low in the quantitative optical path length image, that is, the inside of the circular shape is lower than the surroundings. Since it looks bright, it is excluded by extraction in step S3.

  It should be noted that the only thing that cannot be removed by the above method is when the gap between the stem cells happens to be circular. Since it is a gap, the refractive index is lower than the surroundings, making it difficult to distinguish it from the “good stem cells” in (a). However, these are infrequent and are particularly problematic when analyzing the stem cell colony using the “number of stem cells per unit area determined to be high quality stem cells” in the determination in step S5 below. Must not.

[Analysis procedure 2, analysis in cell colony unit: Step S5]
After determining the high quality stem cells and the poor quality stem cells by the method in step S4, the analysis unit D4 determines that the number of stem cells determined as the high quality stem cells per unit area is greater than or equal to the threshold value. In addition, the cell colony is determined to be a high-quality stem cell colony. Specifically, for example, when the density (number / mm ² ) of stem cells determined to be high-quality stem cells is equal to or higher than a threshold value, the cell colony is determined to be a high-quality stem cell colony.

FIGS. 10 to 12 are diagrams showing “good stem cells” of (a) extracted by the method described in step S4 in both (A) and (B). In each figure, the “good stem cell” extracted in step S4 is indicated by a round, white solid line. FIG. 10 shows a case where the density [cells / mm ² ] of cells determined to be high quality cells by the method of step S5 is equal to or higher than a threshold value. “Good stem cells”. FIG. 11 shows “good stem cells” in a stem cell colony determined as a cell colony of poor quality by the method of step S5. FIG. 12 shows “good stem cells” in a case where a portion determined to have good quality and a portion determined to have poor quality are mixed by the method of step S5. In FIG. 12A, the upper half corresponds to a portion determined to have poor quality, and the lower half corresponds to a portion determined to have good quality. In FIG. 12B, the upper half corresponds to a portion determined to have good quality, and the lower half corresponds to a portion determined to have poor quality.

  In the above steps S2 to S4, all the circular shapes may be extracted, and then the optical path length may be compared with each circular shape to perform analysis in units of cells. Alternatively, one circular shape may be extracted, the optical path lengths may be compared with the circular shape, and the analysis may be performed on a cell basis by repeating these procedures.

[Display procedure: Step S6]
Next, the display unit D5 specifies and displays a region included in the stem cell colony determined to have good quality in step S5. FIG. 13 shows an example of display by the display unit D5. In the example of FIG. 13, the display unit D5 performs display by pseudo color mapping. FIG. 13 displays the information amount determined to be a high-quality stem cell (for example, the perfect circle shape extracted in steps S3 and S4) and the other information in a shaded manner. In the dark portion indicated by the symbol A, there is an amount of information determined to be a high quality stem cell. On the other hand, in the light part indicated by the symbol B, there is an amount of information determined as a stem cell with poor quality. There is nothing in the portion indicated by the symbol C. Note that although FIG. 13 is displayed in color in the actual embodiment by the inventor, FIG. 13 is a black and white figure for the purposes of the application process. With the above-described FIG. 13, it is possible to grasp at a glance a two-dimensional distribution indicating which region of the stem cell colony has a high quality stem cell. That is, the left side of FIG. 13 is a portion where there are many stem cells in a poor quality state (symbol B) and is judged to be a poor quality region. The right side of FIG. 13 has many stem cells in good quality (symbol A) and is a portion judged to be a high quality region.

FIG. 14 shows a result of displaying the density of the amount of information determined to be a high-quality stem cell (for example, the perfect circle shape extracted in steps S3 and S4) on the vertical axis, and determining the quality of the stem cell visually by the observer. Is displayed along the horizontal axis. On the left side of FIG. 14, the amount of information in the sample (number of samples = 8) determined to be good visually is indicated by a point (Good), and on the right side, the quality is determined to be poor. The amount of information in the sample (number of samples = 29) is indicated by a dot (No Good). As shown in FIG. 14, the determination method of the analysis unit D4 that determines a high-density portion (for example, a density of 200 [pieces / mm ² ] or more) as a high-quality region is determined to be good quality visually. It is consistent with the result. That is, it can be said that the result similar to the visual result was obtained by the determination method in the present embodiment.

  Hereinafter, the operation of the display unit D5 will be described in more detail. In the operation of the display unit D5 described below, the “good stem cells” in (a) are extracted through the above steps S2 to S4, and the “good stem cells” are indicated by, for example, the round and white solid lines in FIGS. In this case, the present invention relates to a method for displaying a high-quality stem cell colony (including a partial region of the stem cell colony) using these densities. Hereinafter, a description will be given with reference to FIG. In the following description, a portion indicated by a round and solid white line in FIGS. 10 to 12 is referred to as a “round object”.

  First, an image on which a perfect circle object as shown in FIGS. 10 to 12 is displayed is input. Based on the input image, an image displaying the center coordinates of the perfect circle object is created. FIG. 15A shows an image in which the center coordinates of a perfect circle object are displayed. The center coordinates of the perfect circle object can be displayed by binarization, for example.

  Next, for example, a rectangular mask having an appropriate size is prepared for the image shown in FIG. 15A, and the number of perfect circle objects existing in the mask is substituted into the center coordinates (pixels) of the mask. . This operation is performed for all the pixels while moving the mask. There is no particular limitation on the size of the mask, but if the size of the mask is too small, the gap between cells cannot be filled. Therefore, it is necessary to appropriately set a mask size according to the distance between cells where cells exist, here the distance between the cell nucleus and the cell nucleus. For example, if the distance between cells is about 15 μm, a mask having a diameter of 15 μm or more may be used. FIG. 15F shows an example in which the mask size is too small to be successful. In terms of treating the distance from the center coordinates equally, a rectangular mask is more preferable than a rectangular mask because a rectangular mask is a mask having a long distance in a 45 degree diagonal direction.

  Next, based on the number of perfect circle objects existing in the mask assigned to the center coordinates of the mask as described above, the density image of perfect circle objects having a distribution that increases in value according to the density of perfect circle objects. Create In the density image of the perfect circle object, the low density portion of the true circle object can be removed by increasing the luminance value of the pixel according to the density of the true circle object. FIG. 15B shows the density image of the perfect circle object created by the above method, and the brightness value of the high density portion of the perfect circle object is high and displayed in white.

  Next, with respect to the density image of the perfect circle object shown in FIG. 15B, the outline of the region is obtained using an appropriate threshold value. In FIG. 15C, the obtained contour line is displayed as a broken line. Note that the region specified by the obtained outline matches the high density portion of the perfect circle object, as shown in FIG.

  Next, the area specified by the contour line in FIGS. 15C and 15D is applied to the image of the stem cell colony. Thereby, in the area | region which specifies a stem cell colony, a high quality area | region can be specified and it can be displayed. (E) of FIG. 15 shows the state, and an area specified by being surrounded by a broken line is a high quality area in the stem cell colony. For example, information such as position coordinates can be extracted from the image shown in FIG. 15E and used for cell manipulation (cutting out and collecting).

In the above operation, when the luminance value of the pixel of the density image of the perfect circle object is increased according to the density of the true circle object (see FIG. 15B), and for the density image of the perfect circle object When determining the contour line of the region using an appropriate threshold (see FIGS. 15C and 15D), the quality can be visually confirmed when the density of the perfect circle object is 200 [number / mm ² ] or more. The brightness value can be adjusted and the contour line can be obtained by using the determined stem cell as a guide. Note that the density of the perfect circle object is 200 [number / mm ² ] or more is consistent with the result in FIG. 14 described above.

  The operation of the display unit D5 described above is based on the following concept. That is, since the cells form cell colonies while proliferating, cells having the same properties tend to be adjacent to each other to form a population. In other words, there are a lot of cells of good quality around the cells of good quality, and if the detected perfect circle object exists with a certain density, the area is judged to be formed of good cells. It will be possible. With this concept, even if the determination for each stem cell is a little wrong, the correct determination can be made for the entire cell colony.

(Configuration example as a cell analysis program)
This configuration can also be configured as a cell analysis program, and the above description regarding the cell analysis device D can also be understood as description regarding a cell analysis program that causes a computer to operate as the cell analysis device D. Although overlapping description is omitted, the cell analysis program causes the computer to function as the acquisition unit D1, the extraction unit D2, the comparison unit D3, the analysis unit D4, and the display unit D5 described above. The cell analysis program is provided by being stored in a recording medium, for example. Examples of the recording medium include a flexible disk, a recording medium such as a CD and a DVD, a recording medium such as a ROM, or a semiconductor memory.

(Operation and effect of this embodiment)
Then, the effect | action and effect of the cell analysis system 1 concerning this embodiment are demonstrated. According to the cell analysis system 1 of the present embodiment, analysis of stem cell colonies can be performed with high accuracy by a quantitative and automated technique. In other words, the analysis of stem cell colonies is quantitatively provided by providing both a procedure for extracting a circular shape corresponding to the nucleus of the stem cell and a procedure for comparing the inner optical path length and the outer optical path length for the circular shape. And can be performed with high accuracy by an automated method. Focusing on the difference in the optical path length inside and outside the stem cell nucleus, that is, the difference between the optical path length in the stem cell nucleus and the optical path length in the cytoplasm around the nucleus of the stem cell This is because it can be used for analysis of colonies, and thereby, analysis of stem cell colonies by a quantitative and automated technique can be realized. Furthermore, by focusing on the quantitative difference in the optical path length as well as the information on the shape of the round shape, it is possible to compensate for the fact that proper analysis could not be performed simply by extracting the circular shape. This is because high-level analysis can be realized.

  In Patent Document 3 described above, the brightness of the inside of the stem cell and the brightness of the outside of the stem cell are compared. Therefore, it is necessary to accurately extract the outline of the stem cell, but the stem cells forming the stem cell colony are adjacent to each other. In this case, the boundary between stem cells is not clear, and the outline of the stem cells cannot always be extracted accurately. On the other hand, the present embodiment is different in that the optical path lengths inside and outside the nucleus of the stem cell are compared. Even if a stem cell colony is formed, a stem cell in a good state can be clearly distinguished from the inside and outside of the stem cell nucleus because the nucleus boundary of the stem cell can be clearly distinguished by the refractive index difference between the nucleus and the cytoplasm. Therefore, according to this embodiment, a highly accurate analysis of a stem cell colony can be realized.

  As described above, by accurately performing the state of stem cell colonies with a quantitative and automated method, what has been evaluated based on the experience of the examiner can be compared objectively regardless of who performed It becomes a numerical value, and ambiguous elements such as the subjectivity of the examiner, physical condition, and variation between examiners can be eliminated. This makes it possible to analyze a uniform stem cell colony based on a certain criterion that does not depend on the skill of the examiner. In addition, it is possible to relieve the physical suffering of the examiner who has been judged by observing a large number of stem cells and stem cell colonies with the naked eye. In addition, for example, by applying a stepped numerical value, it is possible to grasp a change with time of the state. In this case, for example, it is possible to determine a sign that the state is deteriorated early after the start of culture. For this reason, the chances of recovery before the state becomes worse increases, the yield rate of the whole process improves, and waste of culture materials can be avoided, leading to a reduction in production costs. Furthermore, the same judgment standard can be easily brought into the process of another producer, and it becomes possible to provide stem cells having a common quality among different producers.

  In addition, according to the present embodiment, a specific method for determining high-quality stem cells is provided. The determination method according to the present embodiment is based on the following consideration by the inventors. That is, from the experiment results by the inventor, it was found that the stem cell nucleus shape was circular only in high-quality stem cells, and the optical path length inside the nucleus was smaller than the optical path length outside the nucleus. . On the other hand, stem cells with poor quality are found to have a nuclear shape that is not circular, or that the optical path length inside the nucleus is the same or larger than the optical path length outside the nucleus, even though it is circular. It was. Therefore, the difference in the optical path length between the inner side and the outer side of the nucleus of the stem cell is compared, and when the outer optical path length is larger than the inner optical path length, the stem cell can be determined as a high quality stem cell.

  In addition, according to the present embodiment, a specific method for distinguishing a stem cell colony having a high quality from a stem cell colony that is not so is provided. This is consistent with the purpose of industrial application of quality control of stem cell colony units. This is because evaluating the stem cells one by one does not increase the throughput. This technique is based on the characteristics of stem cell colonies. In other words, since stem cell colonies are formed by dividing and proliferating stem cells, there are many high-quality stem cells around them, and many poor-quality stem cells are around the poor-quality stem cells. Tend to exist. From this viewpoint, the number of stem cells per unit area determined to be high quality stem cells can be said to be appropriate as a criterion for distinguishing between high quality stem cell colonies and other stem cell colonies.

  In addition, according to the present embodiment, a specific method for allowing the user to easily confirm the analysis result of the stem cell colony according to the present embodiment is provided.

  Further, according to the present embodiment, it is possible to easily compare the inner optical path length and the outer optical path length in a circular shape by using the quantitative optical path length image.

  In addition, according to the present embodiment, primary determination criteria for high-quality stem cells are provided. For example, depending on the accuracy and purpose of the stem cell analysis, it can be adopted as the criterion that the circular shape is a true circular shape. Furthermore, it can be adopted as the determination criterion that the circular shape is a true circular shape having a predetermined range of diameters. Alternatively, it can be adopted as the determination criterion that the circular shape is an elliptical shape.

  This embodiment can be used for industrial applications of stem cells including iPS stem cells and ES stem cells. For example, if this embodiment is applied to a stem cell culture apparatus, etc., the determination of the stem cells and stem cell colonies being cultured can be performed by a quantitative and automated method, and can be performed with higher accuracy. And mass production become possible.

  As mentioned above, although preferred embodiment of this invention was described, it cannot be overemphasized that this invention is not limited to the said embodiment.

  For example, in the embodiment described above, the configuration in which the cell analysis system 1 includes the quantitative phase microscope A has been described in order to obtain an optical path length image of a cell or a cell colony, but the present invention is not limited thereto. For example, an optical path length image of a cell or a cell colony may be obtained using a phase contrast microscope. In this case, the apparatus becomes inexpensive and leads to cost saving.

DESCRIPTION OF SYMBOLS 1 ... Cell analysis system, A ... Quantitative phase microscope, A1 ... Microscope main body, B ... Optical fiber, C ... Imaging apparatus, D ... Cell analysis apparatus, D1 ... Acquisition part, D2 ... Extraction part, D3 ... Comparison part, D4 ... Analysis unit, D5... Display unit.

Claims (11)

A cell analysis method for analyzing the stem cell using an optical path length image of the stem cell,
Obtaining an optical path length image of the stem cells;
In the optical path length image acquired in the acquisition step, in the comparison step of comparing the value of the optical path length of the part constituting the cell nucleus of the stem cell and the value of the optical path length of the part constituting the cytoplasm of the stem cell;
Based on the comparison result in the comparison step, the stem cell having a larger value of the optical path length of the part constituting the cytoplasm than the value of the optical path length of the part constituting the cell nucleus of the stem cell is a good stem cell. An analysis step to judge;
A cell analysis method comprising: In the optical path length image, further comprising an extraction step of extracting a shape corresponding to the cell nucleus of the stem cell,
In the comparison step, the value of the optical path length inside the shape corresponding to the cell nucleus extracted in the extraction step is set as the value of the optical path length of the portion constituting the cell nucleus, and the value of the optical path length outside the shape corresponding to the cell nucleus is The cell analysis method according to claim 1, wherein the comparison is performed using a value as a value of an optical path length of a portion constituting the cytoplasm.   The cell analysis method according to claim 1, wherein the optical path length is a phase difference or an optical thickness.   The cell analysis method according to any one of claims 1 to 3, wherein in the acquisition step, the optical path length image is acquired using a quantitative phase microscope or a phase contrast microscope.   The cell analysis method according to any one of claims 1 to 4, wherein the stem cell is an iPS stem cell or an ES stem cell. A cell analyzer for analyzing the stem cell using an optical path length image of the stem cell,
An acquisition means for acquiring an optical path length image of the stem cell;
In the optical path length image acquired by the acquisition means, comparison means for comparing the value of the optical path length of the part constituting the cell nucleus of the stem cell and the value of the optical path length of the part constituting the cytoplasm of the stem cell;
Based on the comparison result in the comparison means, the stem cell having a larger value of the optical path length of the part constituting the cytoplasm than the value of the optical path length of the part constituting the cell nucleus of the stem cell is a good stem cell. Analysis means to judge;
A cell analysis apparatus comprising: In the optical path length image, further comprising an extraction means for extracting a shape corresponding to a cell nucleus of the stem cell,
In the comparison means, the value of the optical path length inside the shape corresponding to the cell nucleus extracted by the extraction means is set as the value of the optical path length of the part constituting the cell nucleus, and the value of the optical path length outside the shape corresponding to the cell nucleus The cell analysis apparatus according to claim 6, wherein the comparison is performed using a value as a value of an optical path length of a portion constituting the cytoplasm.   The cell analysis device according to claim 6 or 7, wherein the optical path length is a phase difference or an optical thickness.   The cell analysis apparatus according to any one of claims 6 to 8, wherein the acquisition unit includes a quantitative phase microscope or a phase contrast microscope. Computer
In the cell analysis device for analyzing the stem cell using the optical path length image of the stem cell,
In the optical path length image of the stem cell, a comparison means for comparing the value of the optical path length of the part constituting the cell nucleus of the stem cell and the value of the optical path length of the part constituting the cytoplasm of the stem cell;
Based on the comparison result in the comparison means, the stem cell having a larger value of the optical path length of the part constituting the cytoplasm than the value of the optical path length of the part constituting the cell nucleus of the stem cell is a good stem cell. Analysis means to judge,
As a cell analysis program. The computer,
In the optical path length image, further operating as an extraction means for extracting the shape corresponding to the cell nucleus of the stem cell,
In the comparison means, the value of the optical path length inside the shape corresponding to the cell nucleus extracted by the extraction means is set as the value of the optical path length of the part constituting the cell nucleus, and the value of the optical path length outside the shape corresponding to the cell nucleus The cell analysis program according to claim 10, wherein the comparison is performed using a value as a value of an optical path length of a portion constituting the cytoplasm.