JP7760944B2 - Analysis method and analysis device using optical microscope - Google Patents
Analysis method and analysis device using optical microscopeInfo
- Publication number
- JP7760944B2 JP7760944B2 JP2022046594A JP2022046594A JP7760944B2 JP 7760944 B2 JP7760944 B2 JP 7760944B2 JP 2022046594 A JP2022046594 A JP 2022046594A JP 2022046594 A JP2022046594 A JP 2022046594A JP 7760944 B2 JP7760944 B2 JP 7760944B2
- Authority
- JP
- Japan
- Prior art keywords
- sample
- optical microscope
- composition
- image
- analyzed
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Landscapes
- Investigating Or Analysing Materials By Optical Means (AREA)
Description
本発明は、光学顕微鏡を用いた分析方法及び分析装置に関し、特に複数種類の組成物を含む分析対象試料に対して光学顕微鏡を用いて簡易且つ低コストにそれらの含有割合を求めることが可能な分析方法及び分析装置に関する。 The present invention relates to an analytical method and analytical device using an optical microscope, and in particular to an analytical method and analytical device that can easily and inexpensively determine the content ratios of multiple types of compounds in an analytical sample using an optical microscope.
物質を構成する組成物の含有割合を正確に把握することが様々な分野で求められており、例えば非鉄金属製錬の分野においては、浮遊選鉱時に用いる抑制剤等の浮選剤の種類やその添加量等の条件を定めるため、採掘した鉱石に含まれる有用鉱物や利用価値の低い脈石等の組成物を正確に定量分析する技術が求められている。物質の組成を分析する方法としては、ICP発光分光分析法や蛍光X線分析法などの化学分析法が知られているが、これらの化学分析法は、分析対象となる試料の全体的な組成を定量分析することは可能であるが、前述した鉱石などのように分析対象試料に複数種類の組成物が含まれる場合は、それらの含有割合を正確に定量分析することは難しい。 There is a need in various fields to accurately understand the proportions of the components that make up a substance. For example, in the field of non-ferrous metal smelting, there is a need for technology that can accurately quantitatively analyze the composition of useful minerals and less valuable gangue contained in mined ores in order to determine the types of flotation agents, such as inhibitors, to be used during flotation, as well as their dosage. Chemical analysis methods such as ICP emission spectroscopy and X-ray fluorescence analysis are known as methods for analyzing the composition of substances. While these chemical analysis methods can quantitatively analyze the overall composition of the sample being analyzed, when the sample being analyzed contains multiple types of components, such as the ore mentioned above, it is difficult to accurately quantitatively analyze the proportions of these components.
そこで、光学顕微鏡による撮像と画像解析技術とを組合わせて、複数種類の組成物を含む分析対象試料に対してそれら組成物の含有割合を分析する方法が提案されている。例えば特許文献1には、分析対象となる試料を樹脂に包埋して分析面を鏡面仕上げした後、この分析面を反射顕微鏡で撮像し、得られた画像を色相、輝度及び彩度を用いて二値化することで、分析対象試料を定量分析する技術が開示されている。 In response, a method has been proposed that combines imaging with an optical microscope with image analysis technology to analyze the content ratios of multiple types of components in a sample to be analyzed. For example, Patent Document 1 discloses a technique in which the sample to be analyzed is embedded in resin and the analysis surface is mirror-finished, and then this analysis surface is imaged with a reflected light microscope, and the resulting image is binarized using hue, brightness, and saturation, thereby quantitatively analyzing the sample to be analyzed.
また、近年は物質の定量分析に鉱物粒子解析装置MLA(Mineral Liberation Analyzer)を用いる場合が増えている。この技術は、SEM-EDS(Scanning Electron Microscope-Energy Dispersive X-ray Spectroscopy)とも称され、複数種類の組成物を含む分析対象試料に対して、その分析面に電子線を走査させることで発生する二次電子や反射電子を検出して該試料表面の組成物の形態を特定すると共に、該電子線の照射によって発生する特性X線を検出することにより元素分析を行なうものであり、分析対象試料に含まれる複数種類の組成物の各々の含有割合を求めることができる。 In recent years, the use of mineral particle analyzers (MLA) for quantitative analysis of materials has been increasing. This technology, also known as SEM-EDS (Scanning Electron Microscope-Energy Dispersive X-ray Spectroscopy), involves scanning an electron beam across the surface of a sample containing multiple compositions to detect the secondary and backscattered electrons generated, thereby identifying the compositional morphology of the sample surface. It also performs elemental analysis by detecting the characteristic X-rays generated by the electron beam irradiation, allowing the content of each of the multiple compositions contained in the sample to be determined.
上記の特許文献1の技術を用いることで、複数種類の組成物を含む分析対象試料に対して、特に熟練を要することなく簡易に定量分析することが可能になると考えられる。しかしながら、反射光の強度差が極めて小さい複数種類の組成物を含む分析対象試料に対して、光学顕微鏡でその分析面を撮像してその画像を処理する場合は、これら複数種類の組成物を判別するのが困難であった。他方、MLAを用いることで、このような反射光の強度差が小さい複数種類の組成物を含む分析対象試料の場合であっても正確に定量分析を行なうことができるが、MLAは極めて高価な分析装置であるため、例えば採掘した鉱石を分析対象とする場合のように用途によってはオーバースペックであり、よって簡易かつ低コストに分析することが求められる場合には適していなかった。 By using the technology described in Patent Document 1, it is believed that it will be possible to easily perform quantitative analysis of samples containing multiple compositions without requiring any particular expertise. However, when a sample contains multiple compositions with very small differences in the intensity of reflected light, it is difficult to distinguish between these multiple compositions when imaging the analysis surface with an optical microscope and processing the image. On the other hand, by using an MLA, accurate quantitative analysis can be performed even for samples containing multiple compositions with very small differences in the intensity of reflected light. However, because MLA is an extremely expensive analytical device, it may be overkill for some applications, such as when analyzing mined ore. Therefore, it is not suitable for applications requiring simple, low-cost analysis.
本発明は、上記の事情に鑑みてなされたものであり、複数種類の組成物を含む分析対象試料に対して簡易かつ低コストにこれら組成物の含有割合を求めることが可能な分析方法及び分析装置を提供することを目的としている。 The present invention was made in consideration of the above circumstances, and aims to provide an analytical method and analytical device that can easily and inexpensively determine the content ratios of multiple types of compositions in an analytical sample containing these compositions.
本発明者らは上記目的を達成するために鋭意検討を重ねた結果、複数種類の組成物を含む分析対象試料に対して、それら組成物ごとに特有の光学的な特性を予め把握しておくことによって、反射光の強度差が極めて小さい複数種類の組成物を含む場合であっても、簡易かつ低コストにそれらの含有割合を求めうることを見出し、本発明を完成するに至った。 As a result of extensive research into achieving the above-mentioned objectives, the inventors discovered that for an analysis sample containing multiple types of compositions, by understanding the unique optical properties of each of those compositions in advance, it is possible to easily and inexpensively determine the content ratios of those compositions, even when the sample contains multiple types of compositions with only small differences in the intensity of reflected light, and this led to the completion of the present invention.
すなわち、本発明に係る光学顕微鏡を用いた分析方法は、分析対象試料に含まれる複数種類の組成物の各々の含有割合を光学顕微鏡を用いて定量分析する方法であって、前記分析対象試料を光学顕微鏡で撮像することで得た画像内に存在する前記複数種類の組成物の各領域に光を照射して分光分析を行なう第1工程と、前記分光分析の結果に基づいて前記複数種類の組成物の各々を特有の光学特性を示す特定の波長で特徴づける第2工程と、前記特徴づけた特定の波長の光を前記分析対象試料に照射しながら撮像する第3工程と、前記撮像により取得した画像から該特定の波長で特徴づけられた組成物が占める領域の面積を測定する第4工程と、該測定した領域の面積が該画像内の全ての組成物の領域の面積に対して占める割合を算出することでその含有割合を算出する第5工程とからなることを特徴としている。 In other words, the analytical method using an optical microscope according to the present invention is a method for quantitatively analyzing the content ratio of each of multiple types of compositions contained in a sample to be analyzed using an optical microscope, and is characterized by comprising the following steps: a first step of performing spectroscopic analysis by irradiating light onto each region of the multiple types of compositions present in an image obtained by imaging the sample to be analyzed with the optical microscope; a second step of characterizing each of the multiple types of compositions with a specific wavelength that exhibits unique optical properties based on the results of the spectroscopic analysis; a third step of imaging the sample to be analyzed while irradiating the sample with light of the characterized specific wavelength; a fourth step of measuring the area of the region occupied by the composition characterized by the specific wavelength from the image obtained by imaging; and a fifth step of calculating the content ratio by calculating the ratio of the area of the measured region to the area of all regions of the compositions in the image.
また、本発明に係る分析装置は、分析対象試料に含まれる複数種類の組成物の各々の含有割合を定量分析する装置であって、前記分析対象試料の分析面を撮像する光学顕微鏡と、該撮像した画像内に存在する前記複数種類の組成物の各領域に光を照射して分光分析を行なう分光分析装置と、前記光学顕微鏡で撮像した画像及び前記分光分析装置で得たデータに基づいて画像解析を行なう画像解析装置とから構成され、前記画像解析装置は、該分光分析により各種類の組成物を特有の光学特性を示す特定の波長で特徴づける手段と、前記分析対象試料に前記特徴づけた特定の波長の光を照射しながら撮像した画像から該特定の波長で特徴づけられた組成物が占める領域の面積を測定する手段と、該測定した領域の面積が該画像内の全ての組成物の領域の面積に対して占める割合を算出することでその含有割合を算出する手段とを備えることを特徴としている。 The analytical device of the present invention is an apparatus for quantitatively analyzing the content ratio of each of multiple types of compositions contained in a sample to be analyzed, and is composed of an optical microscope that images the analysis surface of the sample to be analyzed, a spectroscopic analyzer that performs spectroscopic analysis by irradiating light onto each region of the multiple types of compositions present in the captured image, and an image analyzer that performs image analysis based on the image captured by the optical microscope and the data obtained by the spectroscopic analyzer.The image analyzer is characterized by comprising: means for characterizing each type of composition with a specific wavelength that exhibits unique optical properties through the spectroscopic analysis; means for measuring the area of the region occupied by the composition characterized by the specific wavelength from an image captured while irradiating the sample to be analyzed with light of the characterizing specific wavelength; and means for calculating the content ratio by calculating the ratio of the area of the measured region to the area of all regions of the compositions in the image.
本発明によれば、複数種類の組成物を含む分析対象試料に対して、簡易かつ低コストにそれら組成物の含有割合を求めることが可能になるので、その工業的価値は極めて大きい。 This invention makes it possible to easily and inexpensively determine the content ratios of multiple types of compositions in an analytical sample containing those compositions, making it of great industrial value.
以下、本発明に係る光学顕微鏡を用いた分析方法の実施形態について詳細に説明する。この本発明の実施形態の分析方法は、分析対象試料に含まれる複数種類の組成物の各々の含有割合を光学顕微鏡を用いて定量分析する方法であって、該分析対象試料を光学顕微鏡で撮像することで得た画像内に存在する複数種類の組成物の各領域に光を照射して分光分析を行なう第1工程と、該分光分析の結果に基づいて該複数種類の組成物の各々を特有の光学特性を示す特定の波長で特徴づける第2工程と、該特徴づけた特定の波長の光を該分析対象試料に照射しながら撮像する第3工程と、該撮像により取得した画像から該特定の波長で特徴づけられた組成物が占める領域の面積を測定する第4工程と、該測定した領域の面積が該画像内の全ての組成物の領域の面積に対して占める割合を算出することでその含有割合を算出する第5工程とからなる。 An embodiment of an analytical method using an optical microscope according to the present invention is described in detail below. This analytical method, which is a method for quantitatively analyzing the content ratio of each of multiple types of compositions contained in a sample to be analyzed using an optical microscope, comprises the following steps: a first step of performing spectroscopic analysis by irradiating light onto each region of the multiple types of compositions present in an image obtained by imaging the sample to be analyzed with the optical microscope; a second step of characterizing each of the multiple types of compositions with a specific wavelength that exhibits unique optical properties based on the results of the spectroscopic analysis; a third step of imaging the sample to be analyzed while irradiating the sample with light of the characterized specific wavelength; a fourth step of measuring the area of the region occupied by the composition characterized by the specific wavelength from the image obtained by the imaging; and a fifth step of calculating the content ratio by calculating the ratio of the area of the measured region to the area of all regions of the compositions in the image.
上記のように、本発明の実施形態の分析方法が対象とする試料は、複数種類の組成物を含有しており、このような試料としては、例えば硫化鉱や酸化鉱などの有用金属、利用価値の低い脈石、及び非金属酸化物などを含んだ乾式銅製錬の鉱石原料、該鉱石原料を浮遊選鉱することで回収される精鉱やその残りの尾鉱、並びに該精鉱を中間原料として用いて該乾式銅製錬で熔錬処理することで生成される有用金属のメタル、鉱滓成分からなるスラグ、及びその他の酸化物などを含有する中間物を挙げることができる。 As described above, samples targeted by the analytical methods of embodiments of the present invention contain multiple types of compositions. Examples of such samples include ore raw materials for dry copper smelting, which contain useful metals such as sulfide ore and oxide ore, gangue with little utility value, and non-metallic oxides; concentrates recovered by flotation of the ore raw materials and the remaining tailings; and intermediates containing useful metals, slag composed of slag components, and other oxides, which are produced by smelting the concentrates in dry copper smelting using the concentrates as intermediate raw materials.
上記のように、分析対象試料中に複数種類の組成物が含まれる場合にそれら複数種類の組成物の各々の含有割合を求める方法としては、該分析対象試料が粉粒体の場合は、先ず該分析対象試料を樹脂内に包埋した後、鏡面研磨することで分析面を露出させた薄片状の包埋試料に対して、光学顕微鏡を用いて撮像し、取得した画像を解析して該画像内において各組成物が占める領域の面積を求め、得られた複数種類の組成物の面積比に基づいてそれらの含有割合と見做す方法が知られている。 As mentioned above, when a sample to be analyzed contains multiple types of compositions, a known method for determining the content ratio of each of those multiple types of compositions is to first embed the sample to be analyzed in resin, and then mirror-polish the embedded sample to expose the analytical surface in a thin slice form. An image is then taken using an optical microscope, the image obtained is analyzed to determine the area of the region occupied by each composition in the image, and the content ratio of the multiple types of compositions is determined based on the area ratio obtained.
上記の光学顕微鏡を用いた撮像では、その光源に例えばハロゲンランプのように広範囲の波長を含んだいわゆる白色光が用いられる。しかしながら、分析対象試料によっては、白色光を照射したときに撮像した反射光の画像において、ある種類の組成物を他のものと区別するのが困難な複数種類の組成物が含まれている場合があり、この場合は、当該分析対象試料に含まれる複数の組成物の含有割合を正確に求めることは困難であった。 When using the optical microscope described above, so-called white light, which contains a wide range of wavelengths, is used as the light source, such as a halogen lamp. However, depending on the sample being analyzed, the image of reflected light captured when irradiated with white light may contain multiple types of compositions, making it difficult to distinguish one type from another. In such cases, it is difficult to accurately determine the proportions of the multiple compositions contained in the sample being analyzed.
これに対して、本発明の実施形態の分析方法は、光学顕微鏡に組み込まれている分光分析装置を使用して上記したように先ず分析対象試料に対して分光分析を行って分析対象試料に含まれる複数種類の組成物の各々を特有の光学特性を示す特定の波長で特徴づけし、この特定の波長の光を分析対象試料に照射しながら撮像するので、得られた画像内において該特定の波長で特徴づけられた組成物が占める領域を他の組成物が占める領域から明瞭に区別することが可能になる。 In contrast, the analytical method of an embodiment of the present invention first performs spectroscopic analysis on the sample to be analyzed using a spectroscopic analyzer incorporated into an optical microscope, as described above, to characterize each of the multiple types of compositions contained in the sample to be analyzed by a specific wavelength that exhibits unique optical properties.The sample to be analyzed is then imaged while being irradiated with light of this specific wavelength, making it possible to clearly distinguish areas in the resulting image occupied by compositions characterized by this specific wavelength from areas occupied by other compositions.
より詳しく説明すると、図1に示すように、粉粒状の分析対象試料を樹脂に包埋した後、鏡面研磨することで作製した包埋試料に対して、先ず第1工程において、光学顕微鏡のステージ上に上記の包埋試料を載置し、通常の光源を用いた光学顕微鏡による目視観察により該包埋試料の分析面上に現れる複数種類の組成物の各領域ごとに測定点を定め、そこに光を照射して分光分析を行なう。これにより、各組成物ごとの分光分析結果としてのスペクトルが得られる。この第1工程では、組成物の形態や明暗などの目視にて判別可能な組成物の種類ごとに1つだけ測定点を定めて分光分析してもよいし、このような目視にて判別可能な組成物の種類に関係なく視野内に現れる全ての組成物の領域に対して測定点を定めて分光分析してもよい。 To explain in more detail, as shown in Figure 1, an embedded sample is prepared by embedding a powdered or granular sample to be analyzed in resin and then polishing it to a mirror finish. In the first step, the embedded sample is placed on the stage of an optical microscope, and measurement points are determined for each region of multiple types of composition that appear on the analysis surface of the embedded sample through visual observation using an optical microscope with a normal light source. Light is then irradiated onto these measurement points for spectroscopic analysis. This results in a spectrum for each composition, providing a result of spectroscopic analysis. In this first step, spectroscopic analysis may be performed by determining only one measurement point for each type of composition that can be visually distinguished by its shape or brightness, or by determining measurement points for all composition regions that appear within the field of view, regardless of the type of composition that can be visually distinguished.
次に、第2工程において、上記の第1工程で得た複数種類の組成物のスペクトルのプロフィールを比較し、各スペクトルごとにその相対強度が他のスペクトルの相対強度と顕著に異なる部分を選択してその部分の波長で各組成物を特徴づける。例えば分析対象試料に含まれるある組成物が特定の波長の光を吸収する光学特性を有する場合は、そのスペクトルは当該特定の波長において下に凸状に急峻に低下する特徴的なプロフィールとなる。また、別のある組成物が特定の範囲の波長の光を全く吸収しない光学特性を有する場合は、そのスペクトルは当該波長の範囲内において上に凸状に緩やかに隆起する特徴的なプロフィールとなる。このようにプロフィールを比べることで、各組成物を特定の波長で特徴づけることができる。 Next, in the second step, the spectral profiles of the multiple types of compositions obtained in the first step above are compared, and a portion of each spectrum whose relative intensity significantly differs from the relative intensity of the other spectra is selected, and each composition is characterized by the wavelength of that portion. For example, if a certain composition contained in the sample to be analyzed has the optical property of absorbing light of a specific wavelength, its spectrum will have a characteristic profile that drops sharply downward in a convex shape at that specific wavelength. On the other hand, if another composition has the optical property of not absorbing light at all within a specific range of wavelengths, its spectrum will have a characteristic profile that rises gently upward in a convex shape within that wavelength range. By comparing the profiles in this way, each composition can be characterized by a specific wavelength.
なお、あるスペクトルの相対強度が他のスペクトルのものと明確に区別するのが困難な場合であっても、この区別するのが困難なスペクトルが複数の組成物のうちの1種類だけであれば、後述するように特に問題にはならない。また、あるスペクトルのプロフィールが他のスペクトルのプロフィールと全波長域においてほぼ一致している場合は、これら両スペクトルは同じ種類の組成物のものであると判断することができる。よって、前工程の第1工程において、前述したように視野内に現れる全ての組成物の領域に対して分光分析を行っても、この第2工程において組成物の種類ごとの特定波長を定めることができる。 Even if the relative intensity of a certain spectrum is difficult to clearly distinguish from other spectra, as long as this difficult-to-distinguish spectrum is only one type of composition among multiple compositions, this does not pose a particular problem, as will be described below. Furthermore, if the profile of one spectrum is nearly identical to the profile of another spectrum across the entire wavelength range, it can be determined that both spectra belong to the same type of composition. Therefore, even if spectroscopic analysis is performed on the areas of all compositions that appear within the field of view in the previous first step, as described above, the specific wavelengths for each type of composition can be determined in this second step.
次に、第3工程において前工程の第2工程において各組成物ごとに特徴づけした特定の波長の光を上記したステージ上の包埋試料に照射しながら光学顕微鏡により撮像する。その際、特定の波長の光は、当該特定の波長を発する単波長光源を使用してもよいし、一般的な光源から発した光を当該特定の波長のみを透過する単波長フィルターを透過させることで得た光を使用してもよい。また、特定の波長の光の照射は、包埋試料に対して対物レンズ側から照射する落射方式でもよいし、包埋試料に関して対物レンズとは反対側から照射する透過方式でもよい。一般的には光が透過しにくい試料や試料が厚い場合は前者の方式が好ましい。 Next, in the third step, the embedded sample on the stage is irradiated with light of a specific wavelength, which was determined for each composition in the previous step, and then imaged using an optical microscope. The specific wavelength of light may be obtained by using a single-wavelength light source that emits that specific wavelength, or by passing light emitted from a general light source through a single-wavelength filter that transmits only that specific wavelength. Furthermore, the specific wavelength of light may be irradiated either by an epi-illumination method, in which the embedded sample is irradiated from the objective lens side, or by a transmission method, in which the embedded sample is irradiated from the opposite side of the objective lens. Generally, the former method is preferred for samples that are difficult for light to transmit or for thick samples.
次に、第4工程において、上記の第3工程において特定の波長の光で照射しながら撮像して得た画像から、該特定の波長で特徴づけられた組成物が占める領域の面積を測定する。例えば前々工程の第2工程において、3種類の組成物B~Dで構成される紛粒状の分析対象試料を組成物Aからなる樹脂で包埋して得た包埋試料の分光分析で得た4つのスペクトルのプロフィールを比較したとき、組成物Aのプロフィールは波長λAにおいてその相対強度が他の組成物B、C、Dのものと比べて顕著に異なる下に凸の急峻な低下を示しており、組成物Bのプロフィールは波長λBにおいてその相対強度が他の組成物A、C、Dのものと比べて顕著に異なる上に凸の緩やかな隆起を示しており、組成物Dのプロフィールはほぼ全波長域に亘ってその相対強度が他の組成物A、B、Cのものと比べて大きく上に乖離しており、組成物Cの相対強度は他の組成物A、Bのものとはあまり差がない場合は、組成物Aを波長λAで特徴づけることができ、組成物Bを波長λBで特徴づけることができ、組成物Dを全波長域で特徴づけることができる。 Next, in the fourth step, the area of the region occupied by the composition characterized by the specific wavelength is measured from the image obtained by imaging while irradiating with light of the specific wavelength in the third step. For example, when comparing four spectral profiles obtained by spectroscopic analysis of an embedded sample obtained in the second step before the previous step by embedding a powdered analysis target sample composed of three types of compositions B to D in a resin composed of composition A, the profile of composition A shows a sharp downward convex decrease in relative intensity at wavelength λA that is significantly different from those of the other compositions B, C, and D, the profile of composition B shows a gradual upward convex increase in relative intensity at wavelength λB that is significantly different from those of the other compositions A, C, and D, the profile of composition D shows a significant upward deviation in relative intensity from those of the other compositions A, B, and C over almost the entire wavelength range, and the relative intensity of composition C is not significantly different from those of the other compositions A and B, then composition A can be characterized by wavelength λA , composition B can be characterized by wavelength λB , and composition D can be characterized over the entire wavelength range.
よって、包埋試料に先ず波長λAの光を照射しながら光学顕微鏡で撮像することによって得た画像では、組成物Aの存在する領域は波長λAの光が吸収されることにより他の領域に比べて暗く映る。よって、この暗く映る領域の面積を測定することで該画像内で組成物Aが占める領域の面積SAを容易に求めることができる。一方、包埋試料に波長λBの光を照射しながら同様に光学顕微鏡で撮像することによって得た画像では、組成物Bの存在する領域は波長λBの光がほぼ全て反射されることにより他の領域に比べて明るく映る。よって、この明るく映る領域の面積を測定することで該画像内で組成物Bが占める領域の面積SBを容易に求めることができる。 Therefore, in an image obtained by first irradiating the embedded sample with light of wavelength λA and photographing it with an optical microscope, the region where composition A is present appears darker than other regions because the light of wavelength λA is absorbed. Therefore, by measuring the area of this dark region, the area SA of the region occupied by composition A in the image can be easily determined. On the other hand, in an image obtained by similarly irradiating the embedded sample with light of wavelength λB and photographing it with an optical microscope, the region where composition B is present appears brighter than other regions because almost all of the light of wavelength λB is reflected. Therefore, by measuring the area of this bright region, the area SB of the region occupied by composition B in the image can be easily determined.
なお、組成物Dはほぼ全波長域で他の組成物A~Cとの相対強度が異なるのでその存在領域を容易に特定することができ、よって、該画像内で組成物Dが占める領域の面積SDを容易に求めることができる。組成物Cの存在する領域の面積SCは、組成物A~Dが存在する該画像の面積から、上記の波長λAの光で撮像した画像で測定した組成物Aの領域の面積SA、波長λBの光で撮像した画像で測定した組成物Bの領域の面積SB、及び組成物Dの領域の面積SDを除外することで求めることができる。 Since composition D has a different relative intensity from the other compositions A to C across almost the entire wavelength range, the region where it is present can be easily identified, and therefore the area S D of the region occupied by composition D in the image can be easily calculated. The area S C of the region where composition C is present can be calculated by subtracting the area S A of the region of composition A measured in the image captured with light of wavelength λ A , the area S B of the region of composition B measured in the image captured with light of wavelength λ B , and the area S D of the region of composition D from the area of the image where compositions A to D are present.
次に、第5工程において、上記のようにして組成物Aからなる樹脂で組成物B~Dから構成される紛粒状の分析対象試料を包埋した包埋試料の分析面に対して、照射する光の波長を変えて光学顕微鏡を用いて複数回撮像することで取得した複数の画像に対して組成物A~Dがそれぞれ占める領域の面積SA~SDを測定し、それらの合計値に対する比率から該分析対象試料に含まれる各組成物の含有割合を求めることができる。例えば組成物Bの体積基準の含有割合VBは、下記式1から求めることができる。 Next, in step 5, the analysis surface of the embedded sample, in which a powdery sample to be analyzed composed of compositions B to D is embedded in a resin made of composition A as described above, is imaged multiple times using an optical microscope while irradiating the sample with light of different wavelengths, and the areas S A to S D of the regions occupied by compositions A to D are measured for each of the multiple images obtained, and the content ratio of each composition in the sample to be analyzed can be determined from the ratio of these values to the total value. For example, the volumetric content V B of composition B can be determined from the following formula 1.
[式1]
各組成物の密度が分かれば、下記式2より組成物Bの質量基準の含有割合MBを求めることができる。ここでρB、ρC、及びρDはそれぞれ組成物B、組成物C、及び組成物Dの密度である。
[Formula 1]
If the density of each composition is known, the mass-based content ratio M B of composition B can be calculated using the following formula 2: where ρ B , ρ C , and ρ D are the densities of composition B, composition C, and composition D, respectively.
[式2]
[Formula 2]
本発明の実施形態の分析方法においては、包埋試料の分析面のうち複数箇所に対して、各々光学顕微鏡を用いて上記の第1工程から第5工程を繰り返し、これら複数箇所での撮像で得た画像群においてそれぞれ求めた組成物の含有割合を各組成物ごとに算術平均するのが好ましい。これにより、撮像した場所による各組成物の含有割合のばらつきを平準化することができるので、分析結果の精度を向上させることができる。 In the analytical method according to an embodiment of the present invention, it is preferable to repeat steps 1 to 5 described above using an optical microscope for multiple locations on the analysis surface of the embedded sample, and then calculate the arithmetic mean of the composition content determined for each composition in the group of images obtained by capturing images of these multiple locations. This makes it possible to average out the variation in the composition content depending on the location where the images are captured, thereby improving the accuracy of the analytical results.
上記のように包埋試料の分析面のうち複数箇所に対して光学顕微鏡を用いて撮像する場合は、タイリング機能付きの光学顕微鏡を用いるのが好ましく、これにより効率よく定量分析を行なうことができる。タイリング機能とは、包埋試料を載置するステージのXY方向の移動及び撮像を全自動制御することで包埋試料の分析面を連続撮像し、これにより取得した複数の画像を連結して最終的に光学顕微鏡視野において広範囲(複数の視野をまとめて)1枚の画像を得る機能である。 When using an optical microscope to image multiple locations on the analysis surface of an embedded sample as described above, it is preferable to use an optical microscope with a tiling function, as this allows for efficient quantitative analysis. The tiling function fully automatically controls the XY movement and imaging of the stage on which the embedded sample is placed, thereby continuously imaging the analysis surface of the embedded sample, and then stitches together the multiple images thus acquired to ultimately obtain a single image covering a wide area (combining multiple fields of view) in the optical microscope field of view.
上記した本発明の実施形態の分析方法は、例えば図2に示すような分析装置で好適に実施することができる。すなわち、この分析装置は、分析対象試料の分析面を撮像する光学顕微鏡1と、該撮像した画像内に存在する該複数種類の組成物の各領域に光を照射して分光分析を行なう分光分析装置2と、光学顕微鏡1で撮像した画像及び分光分析装置2で得たデータに基づいて画像解析を行なう画像解析装置3と、これらを制御するパーソナルコンピューターなどの制御装置4とから少なくとも構成される。 The analytical method of the embodiment of the present invention described above can be suitably carried out using an analytical device such as the one shown in Figure 2. That is, this analytical device is composed of at least an optical microscope 1 that captures an image of the analysis surface of the sample to be analyzed; a spectroscopic analyzer 2 that performs spectroscopic analysis by irradiating light onto each region of the multiple types of compositions present in the captured image; an image analyzer 3 that performs image analysis based on the image captured by the optical microscope 1 and the data obtained by the spectroscopic analyzer 2; and a control device 4 such as a personal computer that controls these components.
上記の画像解析装置3は、分光分析装置2で行なった分光分析に基づいて各種類の組成物を特有の光学特性を示す特定の波長で特徴づける手段と、該特徴づけた特定の波長の光を該分析対象試料に照射しながら撮像した画像から該特定の波長で特徴づけられた組成物が占める領域の面積を測定する手段と、該測定した領域の面積が該画像内の全ての組成物の領域の面積に対して占める割合を算出することでその含有割合を算出する手段とを備えている。 The image analysis device 3 includes a means for characterizing each type of composition with a specific wavelength that exhibits unique optical properties based on the spectroscopic analysis performed by the spectroscopic analysis device 2, a means for measuring the area of the region occupied by the composition characterized by the specific wavelength from an image captured while irradiating the sample to be analyzed with light of the specific wavelength, and a means for calculating the content ratio by calculating the proportion of the area of the measured region to the area of all regions of the composition in the image.
上記の分析装置は、光学顕微鏡1の光源5を単波長光源と取り換えることにより、包埋試料に対して単波長の光を照射することができる機構を備えても良い。また、光学顕微鏡1の光源5と観察対象の試料との間の光軸上に、単波長フィルター6を設置して、試料対して単波長の光を照射することができる機構を備えても良い。次に上記した本発明の実施形態の分析方法を下記に示す実施例及び比較例によってより詳細に説明する。 The above-described analytical device may be equipped with a mechanism capable of irradiating the embedded sample with single-wavelength light by replacing the light source 5 of the optical microscope 1 with a single-wavelength light source. It may also be equipped with a mechanism capable of irradiating the sample with single-wavelength light by placing a single-wavelength filter 6 on the optical axis between the light source 5 of the optical microscope 1 and the sample to be observed. The analytical method of the above-described embodiment of the present invention will now be described in more detail using the following examples and comparative examples.
[実施例]
乾式銅製錬の自熔炉によって生成した中間産物のマットを冷却した後、粒度数mm以下に粉砕したものを分析対象試料とした。この分析対象試料をICP発光分光法で分析したところ、自熔炉での熔錬処理では反応されない銅精鉱原料由来の酸化物からなる組成物Bと、自熔炉での熔錬処理により生成される鉱滓成分からなるスラグとしての組成物Cと、自熔炉での熔錬処理により生成される金属成分からなるメタルとしての組成物Dとの3種類の組成物の混合物であることが分かった。なお、別途行った組成物の分析により、上記の分析対象試料は約8割以上を占める大部分が組成物Dのメタルであり、その他はそれぞれ1割以下であることが分かった。
[Example]
The sample to be analyzed was a matte, an intermediate product produced in a flash furnace of a dry copper smelting process, which was cooled and then crushed to a particle size of a few millimeters or less. Analysis of this sample by ICP atomic emission spectroscopy revealed that it was a mixture of three compositions: composition B, which consisted of oxides derived from the copper concentrate raw material that did not react during the smelting process in the flash furnace; composition C, which served as slag consisting of slag components produced during the smelting process in the flash furnace; and composition D, which served as metal consisting of metal components produced during the smelting process in the flash furnace. Separate analysis of the compositions revealed that the majority of the sample to be analyzed, accounting for more than 80%, was metal from composition D, with the remaining components accounting for less than 10% of each.
この分析対象試料は粉粒状であるため、そのままでは光学顕微鏡を用いて観察するのは困難である。そこで、この粉粒状の分析対象試料を粉状の樹脂と混合して加熱硬化させることにより、固化した樹脂内に分析対象試料を包埋した。具体的には、この包埋用樹脂には熱硬化性のフェノール樹脂を使用し、体積基準で分析対象試料1部に対して樹脂10部の配合割合でバイアル瓶に入れてロッキングミルで混合した。 Because the sample to be analyzed is in granular form, it is difficult to observe it as is using an optical microscope. Therefore, the granular sample to be analyzed was mixed with powdered resin and heated to harden, embedding the sample in the solidified resin. Specifically, a thermosetting phenolic resin was used as the embedding resin, and the sample was placed in a vial in a ratio of 1 part sample to 10 parts resin by volume, and mixed using a rocking mill.
得られた混合物を丸本ストルアス株式会社製の加圧加熱装置(CitoPress-20)を用いて90℃まで昇温させて4分間保持した後、180℃まで加熱して75barの加圧下で5分間保持することによって加熱硬化させた。得られた包埋試料の観察面(分析面)を露出させるため、研磨紙による研磨及びバフ研磨を行った後、この包埋試料の断面の露出した表面を鏡面状に仕上げて包埋試料を得た。 The resulting mixture was heated to 90°C using a pressure heating device (CitoPress-20) manufactured by Marumoto Struers K.K., held there for 4 minutes, then heated to 180°C and held there for 5 minutes under a pressure of 75 bar to harden. To expose the observation surface (analysis surface) of the resulting embedded sample, it was polished with abrasive paper and buffed, and the exposed surface of the cross section of the embedded sample was then polished to a mirror finish to obtain the embedded sample.
得られた包埋試料を、株式会社ハイロックス社製のタイリング機能付き光学顕微鏡(マイクロスコープ RH-2000)のステージ上に載置し、その分析面に対して、下記(1)~(3)に示す手順で分光分析及び画像解析を行なうことで各組成物の含有割合を求めた。なお、画像解析には、三谷商事株式会社製の画像解析ソフト(WinROOF2018)を搭載したパーソナルコンピューターを使用し、分光分析には日本分光株式会社JASCO Corporation社製の顕微紫外可視近赤外分光光度計(MSV-5200)を使用した。また、光学顕微鏡の光源には朝日分光株式会社製の300Wキセノン光源(MAX303)を使用した。 The resulting embedded sample was placed on the stage of a Hirox Corporation optical microscope (Microscope RH-2000) with a tiling function, and the content of each composition was determined by performing spectroscopic and image analysis on the analysis surface according to the procedures (1) to (3) below. Image analysis was performed using a personal computer equipped with Mitani Corporation's image analysis software (WinROOF2018), and spectroscopic analysis was performed using a JASCO Corporation microscopic ultraviolet-visible-near-infrared spectrophotometer (MSV-5200). The light source for the optical microscope was a 300W xenon light source (MAX303) manufactured by Asahi Spectroscopy Co., Ltd.
(1)分光分析に基づく各組成物の特定波長の決定
光学顕微鏡の光源としてハロゲンランプ又はキセノンランプを使用し、目視観察により包埋試料の分析面上に現れる4種類の組成物A~Dの各領域ごとに測定的を定め、そこに光を照射して分光分析を行った。この分光分析により図3(a)、(b)に示すような4種類のスペクトルが得られた。これら4つのスペクトルのプロフィールを比較したところ、組成物Aのスペクトルは波長270nmにおいて他のスペクトルとは異なる下に凸状に低下する特徴的な光学的特性を有しており、組成物Bのスペクトルは波長440nmにおいて他のスペクトルとは異なる上に凸状に隆起する特徴的な光学的特性を有しているので、これら波長270nm及び440nmでそれぞれ組成物A及びBを特徴づけた。また、組成物Dのスペクトルはほぼ全波長域に亘って他のスペクトルよりも高い相対強度を有しているのでこの全波長域で組成物Dを特徴づけた。
(1) Determination of the specific wavelength of each composition based on spectroscopic analysis. Using a halogen lamp or xenon lamp as the light source for an optical microscope, measurement targets were determined for each of the four compositions A to D that appeared on the analysis surface of the embedded sample by visual observation, and light was irradiated onto the target targets for spectroscopic analysis. This spectroscopic analysis yielded four spectra, as shown in Figures 3(a) and 3(b). Comparing the profiles of these four spectra, it was found that the spectrum of composition A had a distinctive optical characteristic of a downwardly convex slope at a wavelength of 270 nm, distinct from the other spectra, while the spectrum of composition B had a distinctive optical characteristic of an upwardly convex slope at a wavelength of 440 nm, distinct from the other spectra. Therefore, compositions A and B were characterized at these wavelengths, 270 nm and 440 nm, respectively. Furthermore, the spectrum of composition D had a higher relative intensity than the other spectra across almost the entire wavelength range, and composition D was characterized across this entire wavelength range.
(2)特定波長の照射による各組成物の面積測定
上記のように組成物Dは全波長域で特徴づけることができたので、先ず光学顕微鏡の光源として使用したハロゲンランプの光を包埋試料の分析面に照射して図4(a)に示す第1画像を得た。この第1画像は組成物Dを特徴づける波長の光を照射しながら撮像したものであるため、組成物Dが占める明度が最も高い領域をその他の組成物が占める領域から容易に識別できた。これにより画像内に占める組成物Dの領域の面積を測定することが可能になった。
(2) Area measurement of each composition by irradiation with light of a specific wavelength As described above, composition D could be characterized over the entire wavelength range, so the analysis surface of the embedded sample was first irradiated with light from the halogen lamp used as the light source for the optical microscope to obtain the first image shown in Figure 4(a). This first image was taken while irradiating with light of a wavelength that characterizes composition D, so the area with the highest brightness occupied by composition D could be easily distinguished from the areas occupied by the other compositions. This made it possible to measure the area of the region occupied by composition D in the image.
次に、組成物Aは波長270nmで特徴づけることができたので、光学顕微鏡の光源であるキセノンランプの光を朝日分光株式会社製の波長270nm用のフィルター(LX0270)を透過させて得た光を包埋試料の分析面に照射することとで、図4(b)に示す第2画像を得た。この第2画像は組成物Aを特徴づける波長の光を照射しながら撮像したものであるため、組成物Aが占める明度が最も低い暗い領域をその他の組成物が占める領域から容易に識別でき、組成物Aの領域の面積を測定することが可能になった。 Next, since composition A could be characterized at a wavelength of 270 nm, the light from a xenon lamp, the light source for the optical microscope, was passed through a 270 nm wavelength filter (LX0270) manufactured by Asahi Spectroscopy Co., Ltd., and the light obtained was irradiated onto the analysis surface of the embedded sample, yielding the second image shown in Figure 4(b). Because this second image was captured while irradiating it with light of a wavelength that characterizes composition A, the dark areas occupied by composition A, which have the lowest brightness, can be easily distinguished from areas occupied by other compositions, making it possible to measure the area of the composition A region.
次に、組成物Bは波長440nmで特徴づけることができたので、光学顕微鏡の光源であるハロゲンランプの光をTECHSPEC社製の波長440nm用のフィルター(#86-350)を透過させて得た光を包埋試料の分析面に照射することで、図4(c)に示す第3画像を得た。この第3画像は組成物Bを特徴づける波長の光を照射しながら撮像したものであるため、組成物Bが占める明度が高い領域と組成物Dが占める明度がより高い領域とを組成物A、Cの領域から識別することができた。この組成物B及びDの領域のうち、組成物Dの領域の面積は、前述した第1画像を処理したときに既に求められているので、これを除外することにより、組成物Bが占める領域の面積を測定することが可能になった。上記の第1~第3画像の処理により組成物A、B、及びDが占める領域の面積をそれぞれ求めることができたので、これらを画像全体の面積から差し引くことにより画像内で組成物Cが占める領域の面積を求めることができた。 Next, since composition B could be characterized at a wavelength of 440 nm, the analysis surface of the embedded sample was irradiated with light obtained by passing light from a halogen lamp (the light source of the optical microscope) through a 440 nm filter (#86-350) manufactured by TECHSPEC Corporation, resulting in the third image shown in Figure 4(c). Because this third image was captured while irradiating the analysis surface with light at a wavelength characteristic of composition B, it was possible to distinguish the brighter regions occupied by composition B and the brighter regions occupied by composition D from the regions of compositions A and C. Among the regions of compositions B and D, the area of the region of composition D was already determined when processing the first image described above, so by excluding this area, it became possible to measure the area of the region occupied by composition B. The areas of the regions occupied by compositions A, B, and D could be determined by processing the first through third images described above, and by subtracting these from the area of the entire image, the area of the region occupied by composition C within the image could be determined.
(3)各組成物の含有割合の算出
なお、上記の第1~第3画像の撮像時は光学顕微鏡の倍率を300倍とし、タイリング機能を使用して、縦横各10視野のマトリックス状(すなわち全体で100視野)を連続撮像し、得られた複数の画像を連結して最終的に光学顕微鏡視野において広範囲(複数の視野をまとめて)1枚の画像とした。また、上記の面積の測定は画像解析装置に画像データを取り込んで一般的な方法で閾値を定めることで、各組成物が占める領域の面積を算出した。得られた組成物A~Dの面積比から、下記表1に示すように各組成物の含有割合を算出することができた。
(3) Calculation of the Content of Each Composition When capturing the first to third images, the optical microscope was set at a magnification of 300x, and a tiling function was used to continuously capture a matrix of 10 fields of view vertically and horizontally (i.e., a total of 100 fields of view). The resulting images were then stitched together to form a single image covering a wide area (combining multiple fields of view) in the optical microscope field. The area measurements were performed by importing image data into an image analyzer and determining a threshold value using a conventional method to calculate the area occupied by each composition. From the resulting area ratios of compositions A to D, the content of each composition could be calculated as shown in Table 1 below.
[比較例]
上記した実施例のような分光分析に基づく各組成物の特定波長による特徴づけを行なわずに、実施例と同様の包埋試料に対して、光源に用いたハロゲンランプの光を照射しながら光学顕微鏡で撮像した画像を解析することで各組成物の含有割合を算出することを試みた。その結果、相対強度の弱い組成物A~Cは、画像上においてそれらが占める領域を区別することが困難であったため、組成物Dの85%を除いて面積比を測定することができなかった。この比較例の結果を、上記の実施例と合わせて下記表2に示す。
[Comparative Example]
Instead of characterizing each composition by a specific wavelength based on spectroscopic analysis as in the above-described Examples, an attempt was made to calculate the content ratio of each composition by analyzing images taken with an optical microscope of an embedded sample similar to that of the Examples while irradiating it with light from a halogen lamp used as a light source. As a result, it was difficult to distinguish the areas occupied by compositions A to C, which had weak relative intensities, on the image, and therefore it was not possible to measure the area ratio except for 85% of composition D. The results of this Comparative Example, together with those of the above-described Examples, are shown in Table 2 below.
なお、別途MLAを用いて各組成物を分析したところ、組成物Aが樹脂であることが分かった。そこで、分析対象試料を構成する組成物B、C及びDの含有割合を求めるため、上記表1の数値から組成物Aの数値を除いた残りの3種類の組成物B、C及びDの数値の合計を100%として各組成物の含有割合を換算した。その結果を下記表3に示す。 Separate analysis of each composition using MLA revealed that composition A was a resin. Therefore, to determine the content ratios of compositions B, C, and D that made up the sample being analyzed, the value for composition A was subtracted from the values in Table 1 above, and the total of the values for the remaining three compositions, B, C, and D, was set to 100%, and the content ratios of each composition were converted. The results are shown in Table 3 below.
上記の実施例及び比較例の結果から、本発明の実施例の分析方法を採用することにより、反射光の強度差が極めて小さい複数種類の組成物を含む分析対象試料であっても、それら組成物の含有割合を簡易且つ低コストに分析することができることが分かった。 The results of the above examples and comparative examples demonstrate that by adopting the analytical method of the examples of the present invention, it is possible to easily and inexpensively analyze the content ratios of multiple types of compositions, even in samples containing only small differences in the intensity of reflected light.
1 光学顕微鏡
2 分光分析装置
3 画像解析装置
4 制御手段
5 光源
6 単波長フィルター
REFERENCE SIGNS LIST 1 Optical microscope 2 Spectroscopic analyzer 3 Image analyzer 4 Control means 5 Light source 6 Single wavelength filter
Claims (8)
The analytical device according to any one of claims 5 to 7, wherein the optical microscope has a tiling function.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2022046594A JP7760944B2 (en) | 2022-03-23 | 2022-03-23 | Analysis method and analysis device using optical microscope |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2022046594A JP7760944B2 (en) | 2022-03-23 | 2022-03-23 | Analysis method and analysis device using optical microscope |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JP2023140647A JP2023140647A (en) | 2023-10-05 |
| JP7760944B2 true JP7760944B2 (en) | 2025-10-28 |
Family
ID=88206475
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2022046594A Active JP7760944B2 (en) | 2022-03-23 | 2022-03-23 | Analysis method and analysis device using optical microscope |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JP7760944B2 (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001523334A (en) | 1997-03-25 | 2001-11-20 | アプライド スペクトラル イメージング リミテッド | Spectral bioimaging method for cell classification |
| JP2008544226A (en) | 2005-08-08 | 2008-12-04 | エス アール ユー バイオシステムズ,インコーポレイテッド | Method and apparatus for forming an image of a target region of a biomolecular sensor |
| JP2015028500A (en) | 2009-01-08 | 2015-02-12 | ソニー株式会社 | Blood coagulation system analyzer, blood coagulation system analysis method and program |
| CN113008872A (en) | 2019-12-20 | 2021-06-22 | 雄贝(上海)科技有限公司 | Rock debris lithology laser identification method based on mineral components |
| JP2021178996A (en) | 2020-05-14 | 2021-11-18 | Jfeスチール株式会社 | Sinter structure evaluation method and sinter manufacturing method |
| US20220082504A1 (en) | 2019-06-04 | 2022-03-17 | Hewlett-Packard Development Company, L.P. | Surface dilution for sensor calibration |
-
2022
- 2022-03-23 JP JP2022046594A patent/JP7760944B2/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001523334A (en) | 1997-03-25 | 2001-11-20 | アプライド スペクトラル イメージング リミテッド | Spectral bioimaging method for cell classification |
| JP2008544226A (en) | 2005-08-08 | 2008-12-04 | エス アール ユー バイオシステムズ,インコーポレイテッド | Method and apparatus for forming an image of a target region of a biomolecular sensor |
| JP2015028500A (en) | 2009-01-08 | 2015-02-12 | ソニー株式会社 | Blood coagulation system analyzer, blood coagulation system analysis method and program |
| US20220082504A1 (en) | 2019-06-04 | 2022-03-17 | Hewlett-Packard Development Company, L.P. | Surface dilution for sensor calibration |
| CN113008872A (en) | 2019-12-20 | 2021-06-22 | 雄贝(上海)科技有限公司 | Rock debris lithology laser identification method based on mineral components |
| JP2021178996A (en) | 2020-05-14 | 2021-11-18 | Jfeスチール株式会社 | Sinter structure evaluation method and sinter manufacturing method |
Also Published As
| Publication number | Publication date |
|---|---|
| JP2023140647A (en) | 2023-10-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US6753957B1 (en) | Mineral detection and content evaluation method | |
| JP2010060389A (en) | Particle analyzer, data analyzer, x-ray analyzer, particle analysis method and computer program | |
| HU226972B1 (en) | Method for measuring degree and homogeneity of alumina calcination | |
| EP2732264A1 (en) | Method and apparatus for gold detection | |
| US20180328848A1 (en) | Cell detection, capture, analysis, aggregation, and output methods and apparatus | |
| JP2020091276A (en) | Method for discriminating mineral species of sinter and method for analyzing structure of sinter | |
| JP7222379B2 (en) | Sintered ore structure evaluation method and sintered ore production method | |
| JP7760944B2 (en) | Analysis method and analysis device using optical microscope | |
| JP6507992B2 (en) | Sample frame and sample analysis method | |
| CN101939636B (en) | Automatic analyzer | |
| KR102099164B1 (en) | grade decision system and grade decision method for the whitening inside of ginseng using hyperspectral NIR image | |
| JPWO2019064632A1 (en) | X-ray image pickup apparatus and image processing method of X-ray image pickup element | |
| Kauppinen et al. | Laser-induced fluorescence images and Raman spectroscopy studies on rapid scanning of rock drillcore samples | |
| Rauwolf et al. | Increased zinc accumulation in mineralized osteosarcoma tissue measured by confocal synchrotron radiation micro X‐ray fluorescence analysis | |
| Latahir et al. | Exploring the elemental detection on portable XRF vs SEM-EDX in household alloy materials analysis | |
| Grunwald-Romera et al. | A reliable method for the automated distinction of quartz gangue and epoxy resin with reflected light microscopy for geometallurgical characterisation | |
| JP6747321B2 (en) | Method for analyzing foreign matter contained in metal oxide powder | |
| Galli et al. | EDXRF analysis of metal artefacts from the grave goods of the Royal Tomb 14 of Sipan, Peru | |
| JP2025154339A (en) | Method for sorting iron ore | |
| KR101622291B1 (en) | Quantitative Method for Constituents of Sintered Ore | |
| JP2022151791A (en) | Method of quantitative analysis of phosphate mineral by morphology | |
| JP2020153738A (en) | Data acquisition method for the abundance ratio of minerals contained in the sample | |
| US9188531B2 (en) | Method and apparatus for gold detection | |
| Gomes et al. | RLM-SEM co-site microscopy applied to iron ore characterization | |
| JP6747320B2 (en) | Method for analyzing foreign matter contained in metal oxide powder |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| A621 | Written request for application examination |
Free format text: JAPANESE INTERMEDIATE CODE: A621 Effective date: 20250212 |
|
| A977 | Report on retrieval |
Free format text: JAPANESE INTERMEDIATE CODE: A971007 Effective date: 20250829 |
|
| TRDD | Decision of grant or rejection written | ||
| A01 | Written decision to grant a patent or to grant a registration (utility model) |
Free format text: JAPANESE INTERMEDIATE CODE: A01 Effective date: 20250916 |
|
| A61 | First payment of annual fees (during grant procedure) |
Free format text: JAPANESE INTERMEDIATE CODE: A61 Effective date: 20250929 |
|
| R150 | Certificate of patent or registration of utility model |
Ref document number: 7760944 Country of ref document: JP Free format text: JAPANESE INTERMEDIATE CODE: R150 |