JPH0145862B2 - - Google Patents
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- Publication number
- JPH0145862B2 JPH0145862B2 JP56200822A JP20082281A JPH0145862B2 JP H0145862 B2 JPH0145862 B2 JP H0145862B2 JP 56200822 A JP56200822 A JP 56200822A JP 20082281 A JP20082281 A JP 20082281A JP H0145862 B2 JPH0145862 B2 JP H0145862B2
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- light receiving
- pattern
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- light
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/53—Immunoassay; Biospecific binding assay; Materials therefor
- G01N33/5302—Apparatus specially adapted for immunological test procedures
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- Chemical & Material Sciences (AREA)
- Hematology (AREA)
- Urology & Nephrology (AREA)
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- Analytical Chemistry (AREA)
- Biochemistry (AREA)
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- General Physics & Mathematics (AREA)
- Pathology (AREA)
- Investigating Or Analysing Biological Materials (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Description
【発明の詳細な説明】
本発明は免疫学的凝集反応による凝集パターン
の判定方法に関するものであり、特に血球粒子の
凝集パターンから各種の血液型の判定や抗体、坑
源の検出を行なう粒子凝集パターン判定方法に関
するものである。DETAILED DESCRIPTION OF THE INVENTION The present invention relates to a method for determining agglutination patterns by immunological agglutination reactions, and in particular, particle agglutination for determining various blood types and detecting antibodies and antigens from agglutination patterns of blood cell particles. This invention relates to a pattern determination method.
例えば、血液型の判定方法として、特公昭51−
16798号公報には、底面がワインカツプ状に彎曲
した反応容器を用い、この容器に遠心分離して得
られる被検血球の2〜5%の浮遊液と特定の抗血
清とを定量分注し、両者を撹拌した後、静置し、
次に遠沈を行ない、沈澱した血球を振りほどくよ
うに反応容器を激しく振動させた後、比較的ゆつ
くりと振動させて凝集結合した粒子は迅速に容器
の中央に集め、また結合していない粒子は溶液中
に再び分散させるようにして凝集パターンを形成
し、これを測光検出する方法が提案されている。
第1図はかかる血液型判定方法における凝集パタ
ーンの測光検出装置の構成を示すものである。こ
の測光検出装置においては、光源1からの光をす
りガラス2、隔膜板3およびレンズ4を経てワイ
ンカツプ状の反応容器5の上方から入射させ、反
応容器5の下方に、中心開口6aおよびこれを囲
む環状開口6bを有するマスク6を配置し、中心
開口6aを通つて光を第1の受光素子7に入射さ
せ、環状開口6bを通つた光レンズ8および9を
介して第2の受光素子10に入射させるように構
成している。かかる測光検出装置によれば、反応
容器5中の反応液11の中央部を通り、第1の受
光素子7に入射した光の光量は反応液11の中央
部の混濁度を表わすものとなり、反応液11の周
辺部を通り、第2の受光素子10に入射した光の
光量は反応液11の周辺部の混濁度を表わすもの
となるから、反応液11の中心部を通る光の光量
が基準値よりも減少すると共に周辺部を通る光の
光量が基準値よりも増大すれば、これを「凝集」
と判断し、中心部および周辺部を通る光の光量が
基準値に対して変化していなければ、「非凝集」
と判断することができる。 For example, as a method for determining blood type,
Publication No. 16798 discloses that a reaction container whose bottom surface is curved in the shape of a wine cup is used, and a 2 to 5% suspension of test blood cells obtained by centrifugation and a specific antiserum are quantitatively dispensed into the container. After stirring both, let stand,
Next, centrifugation is performed, and the reaction vessel is violently vibrated to shake out the precipitated blood cells, and then vibrated relatively slowly to quickly collect the coagulated and bonded particles in the center of the vessel, while unbound particles A method has been proposed in which the particles are redispersed in a solution to form an agglomerated pattern and this is detected photometrically.
FIG. 1 shows the configuration of a photometric detection device for agglutination patterns in such a blood type determination method. In this photometric detection device, light from a light source 1 is made to enter from above a wine cup-shaped reaction container 5 through a frosted glass 2, a diaphragm plate 3, and a lens 4, and a center opening 6a surrounding the central opening 6a is formed below the reaction container 5. A mask 6 having an annular aperture 6b is arranged, and light enters the first light receiving element 7 through the central aperture 6a, and enters the second light receiving element 10 through the optical lenses 8 and 9 passing through the annular aperture 6b. It is configured so that it is incident. According to this photometric detection device, the amount of light that passes through the center of the reaction liquid 11 in the reaction container 5 and enters the first light-receiving element 7 represents the turbidity of the center of the reaction liquid 11. The amount of light that passes through the periphery of the liquid 11 and enters the second light receiving element 10 represents the turbidity of the periphery of the reaction liquid 11, so the amount of light that passes through the center of the reaction liquid 11 is the standard. If the amount of light passing through the periphery increases compared to the standard value at the same time as the amount of light decreases compared to the standard value, this is considered to be "agglomeration".
If the amount of light passing through the center and periphery does not change with respect to the standard value, it is determined that there is no aggregation.
It can be determined that
しかし、上記の血液型判定方法においては、遠
沈した反応容器5を激しく振つて沈澱した血球を
容器底面から分離させるものであるため、凝集結
合力の強いABO式血液型の判定には有効に利用
されても、Rh式血液型を判定する場合とか、各
種の不規則抗体、抗原やHBs抗原等を検出する場
合のように結合力の弱い免疫学的凝集反応の場合
には、反応容器5を振動させることにより一旦結
合した血球等の粒子が分離し、明確な凝集パター
ンが形成できないため利用できない不具合があ
る。このように不具合を解決するため、本願人は
特開昭55−146044号公報において、凝集結合力の
強い自然抗体による血液型はもとより凝集結合力
の極めて弱い不規則抗体による血液型をも十分に
判定できる血液型判定方法を提案した。かかる血
液型判定方法は、例えば底面が円錐形の反応容器
を用い、この反応容器に血液型を判定すべき血液
の血球粒子と標準抗血清試薬とを収容して撹拌
し、比較的短い時間(約30分間)静置した後に凝
集パターンを検出して血液型を判定するものであ
る。この方法では、被検血球粒子が抗血清試薬と
反応する場合には沈降した血球粒子が凝集結合し
て、円錐形底面に雪のように薄く堆積して一様堆
積パターンを形成するが、血球と抗血清試薬とが
反応しない場合には血球粒子は凝集せず、離散し
たまま沈降し、円錐形底面に到達するとその斜面
を転がり落ち、円錐底面の中央部に集合して集積
パターンを形成する。したがつて、円錐底面にで
きる抗血清試薬との反応の有無による沈降血球粒
子のパターンの相違を光電的に検出することによ
り、血液型を判定することができる。第2図はか
かる血液型判定方法における凝集パターンの測光
検出装置の構成を示すものである。光源ランプ2
1から放射される光をコリメータレンズ22で平
行光束とし、円錐形底面を有する反応容器23に
照射する。この光束は反応容器23の底面に存在
する血球粒子の沈降パターンによつて変調され
る。この底面の像を対物レンズ24により受光装
置25上に結像する。この受光装置25はその平
面図をも示すように円錐形底面の中央部の像を受
光する受光素子26と周辺部の像を受光するリン
グ状の受光素子27とより成り、これらの出力を
差動増幅器28に供給する。血球の凝集結合が行
なわれると、その底面には一様に血球粒子が埋積
するから受光素子26および27には血球堆積層
により幾分遮ぎられて弱い光が入射し、これら素
子からの出力信号の振幅は中程度で大きさは等し
くなり、差動増幅器28の出力は低レベルとな
る。これに対し、血球の結合が行なわれないとき
はその底面には中心部に血球粒子が集合したパタ
ーンが形成されるから受光素子26には殆んど光
が入射せず、その出力信号の振幅は小さいが、受
光素子27には強い光が入射し、その出力信号の
振幅は大きくなり、差動増幅器28の出力は高レ
ベルとなる。したがつて、差動増幅器28の出力
信号を判定回路29において所定の基準値と比較
することにより、「凝集」、「非凝集」を判定する
ことができ、この判定結果をプリンタ30に送つ
てプリントアウトすることができる。 However, in the above blood type determination method, the centrifuged reaction container 5 is shaken vigorously to separate the precipitated blood cells from the bottom of the container, so it is not effective in determining ABO blood type, which has a strong coagulant bond. Even if it is used, in the case of immunological agglutination reactions with weak binding strength, such as when determining the Rh type blood type or when detecting various irregular antibodies, antigens, HBs antigen, etc., the reaction vessel is By vibrating 5, particles such as blood cells that are once bound separate, and a clear aggregation pattern cannot be formed, so there is a problem that the method cannot be used. In order to solve this problem, the applicant proposed in Japanese Patent Application Laid-open No. 146044/1987 that not only blood types based on natural antibodies with strong aggregation bonding force but also blood types based on irregular antibodies with extremely weak aggregation bonding force can be determined. We proposed a method for determining blood type. Such a blood type determination method uses, for example, a reaction container with a conical bottom, and contains blood corpuscles and a standard antiserum reagent in which the blood type is to be determined, and stirs them for a relatively short period of time ( Blood type is determined by detecting the agglutination pattern after allowing the device to stand for approximately 30 minutes. In this method, when the blood cell particles to be tested react with the antiserum reagent, the precipitated blood cell particles aggregate and bond, and are deposited thinly like snow on the conical bottom to form a uniform deposition pattern. If the blood cells do not react with the antiserum reagent, the blood particles do not aggregate and settle in a discrete manner. When they reach the conical bottom, they roll down the slope and gather at the center of the conical bottom to form an accumulation pattern. . Therefore, the blood type can be determined by photoelectrically detecting the difference in the pattern of precipitated blood cells depending on the presence or absence of reaction with the antiserum reagent formed on the bottom of the cone. FIG. 2 shows the configuration of a photometric detection device for agglutination patterns in this blood type determination method. Light source lamp 2
The light emitted from 1 is made into a parallel beam by a collimator lens 22, and is irradiated onto a reaction vessel 23 having a conical bottom. This light flux is modulated by the sedimentation pattern of blood cells present at the bottom of the reaction vessel 23. An image of this bottom surface is formed on a light receiving device 25 by an objective lens 24. As shown in the plan view, this light receiving device 25 consists of a light receiving element 26 that receives an image at the center of a conical bottom and a ring-shaped light receiving element 27 that receives an image at the periphery. Dynamic amplifier 28 is supplied. When blood cells are coagulated and bonded, blood cells are uniformly buried on the bottom surface, and weak light enters the light-receiving elements 26 and 27, which is somewhat blocked by the blood cell accumulation layer. The amplitudes of the output signals will be medium and equal in magnitude, and the output of the differential amplifier 28 will be at a low level. On the other hand, when blood cells are not combined, a pattern is formed on the bottom surface in which blood cell particles gather at the center, so almost no light enters the light receiving element 26, and the amplitude of the output signal is Although small, strong light enters the light receiving element 27, the amplitude of its output signal becomes large, and the output of the differential amplifier 28 becomes high level. Therefore, by comparing the output signal of the differential amplifier 28 with a predetermined reference value in the determination circuit 29, it is possible to determine whether "aggregation" or "non-aggregation" occurs, and this determination result is sent to the printer 30. It can be printed out.
しかし、かかる血液型判定方法においても、凝
集するパターンの形態或いは形状によつては凝集
パターンの判定が困難な場合がある。即ち、凝集
パターンは凝集する過程において、種々の形態、
形状の推移をもつて凝集方向に向うものであり、
最終的に凝集した状態は必ずしも均一的な凝集形
態を示さない。その理由としては、反応容器に被
検体の浮遊液と抗血清とを定量分注して撹拌した
後、静置して最終的に凝集成分を上記容器の底面
に集めて凝集パターンを判定する訳であるが、成
分によつては凝集くずれを起す場合がしばしばあ
る。特にABO式血液判定法の裏検査の場合に、
被検体によつては凝集パターン周辺部がめくれた
り、ずれ落ちたりする場合があり、血液型の判定
を困難に示することが実験的に見出されている。
これら、諸現象は被検体そのものによるものと容
器自体、或いは抗血清、被検体と抗血清のメカニ
ズム、更に相対的な諸現象の影響によるものと推
測される。然し乍ら、上記の現象の解明は現在の
技術水準をもつてしてもできず、又解明の理論が
あるとしても実験的な推測の域を出ていない。更
に、HBs抗源を検査するR−PHA法や梅毒抗体
を検査するT−PHA法を行なう時にも、HBs抗
源や梅毒抗体が微量で凝集力が弱いので凝集結合
パターンが周辺部からくずれ易く、パターンが明
確でなくなることがしばしばある。 However, even in such a blood type determination method, it may be difficult to determine the agglutination pattern depending on the form or shape of the agglutination pattern. In other words, the agglomeration pattern is formed in various forms during the agglomeration process.
It moves in the direction of agglomeration with a change in shape,
The final agglomerated state does not necessarily exhibit a uniform agglomerated morphology. The reason for this is that after dispensing a fixed amount of the suspension of the analyte and antiserum into a reaction container and stirring, the agglutinated components are finally collected on the bottom of the container and the agglutination pattern is determined. However, depending on the ingredients, agglomeration may often occur. Especially in the case of back-up testing of ABO blood test method,
It has been experimentally found that depending on the subject, the peripheral part of the agglutination pattern may turn over or fall off, making it difficult to determine the blood type.
It is assumed that these phenomena are caused by the subject itself, the container itself, the antiserum, the mechanism of the subject and the antiserum, and the effects of relative phenomena. However, even with the current state of technology, it is not possible to elucidate the above phenomenon, and even if there is a theory to elucidate it, it remains no more than experimental speculation. Furthermore, when performing the R-PHA method to test for HBs antigens and the T-PHA method to test for syphilis antibodies, the aggregation binding pattern is different from the surrounding area because the HBs antigens and syphilis antibodies are in trace amounts and have weak aggregation power. It crumbles easily and the pattern is often unclear.
このように擬集くずれを起こすと、本来「凝
集」であつても周辺部のパターンのくずれにより
第2図において受光素子26と27との出力に比
較的大きな差が生じるため、「非凝集」と誤つた
判定結果が出力されたり、「判定不能」と判断さ
れる場合がある。 When agglomeration collapse occurs in this way, even if it is originally "agglomeration", a relatively large difference occurs in the outputs of the light receiving elements 26 and 27 in FIG. 2 due to the distortion of the pattern at the periphery. In some cases, an incorrect determination result may be output, or it may be determined that "determination is not possible."
一方、従来の粒子凝集パターン判定装置とし
て、特公昭56−13907号公報に開示されたものが
ある。第3図はかかる粒子凝集パターン判定装置
における測光検出装置の要部の構成を示す斜視図
である。この測光検出装置は、多数個の反応窪み
30をマトリツクス状に形成した透明部材からな
るマイクロプレート31を例えばX軸方向に間欠
的に移送すると共にマイクロコンプレート31の
移送方向を直交するY軸方向に光源32と3個の
受光装置33a,33b,33cとを一体的に保
持したアーム34を間欠的に移動させて反応窪み
30の底面に形成された凝集パターンを検出する
ものである。凝集パターンの検出は3個の受光装
置33a〜33cに対応する3個の反応窪みを1
ブロツクとして同様に検出し、アーム34を1ブ
ロツク毎Y軸方向に間欠的に移送して検出する。 On the other hand, as a conventional particle aggregation pattern determination device, there is one disclosed in Japanese Patent Publication No. 13907/1983. FIG. 3 is a perspective view showing the configuration of a main part of a photometric detection device in such a particle aggregation pattern determining device. This photometric detection device intermittently transports a microplate 31 made of a transparent member in which a large number of reaction depressions 30 are formed in a matrix, for example, in the X-axis direction, and also in the Y-axis direction perpendicular to the direction of transport of the microcomplate 31 The aggregation pattern formed on the bottom surface of the reaction cavity 30 is detected by intermittently moving an arm 34 that integrally holds a light source 32 and three light receiving devices 33a, 33b, and 33c. The detection of the agglomeration pattern is carried out using three reaction depressions corresponding to the three light receiving devices 33a to 33c.
Detection is performed in the same manner as a block, and the arm 34 is intermittently moved in the Y-axis direction for each block.
しかし、かかる測光検出装置においても上述し
たような凝集くずれが発生すると誤判定が生じる
と共に、反応窪みの中心と各受光装置の中心とが
正確に一致するようにマイクロプレート31およ
びアーム34をそれぞれX軸方向およびY軸方向
に移送するのが困難なため、凝集パターンの各種
形態に充分に対応できず、このため測定精度の低
下をきたすと共に正規の判定結果を悪影響に及ぼ
す不具合がある。 However, even in such a photometric detection device, if the above-mentioned agglomeration failure occurs, an erroneous determination occurs, and the microplate 31 and arm 34 are Since it is difficult to transport in the axial direction and the Y-axis direction, it is not possible to adequately respond to various forms of agglomeration patterns, resulting in a problem of lowering measurement accuracy and adversely affecting normal determination results.
本発明の目的は、上述した種々の不具合を解決
し、走査機構のズレや凝集結合力の強弱の如何に
かかわらず、かつ微量の粒子により凝集される免
疫学的凝集反応による凝集パターンを安定、且つ
正確に判定できる粒子凝集パターン判定方法を提
供するものである。 The purpose of the present invention is to solve the various problems mentioned above, and to stabilize the aggregation pattern caused by the immunological agglutination reaction caused by microscopic particles agglomerated, regardless of the misalignment of the scanning mechanism or the strength of the aggregation bond. Moreover, the present invention provides a particle aggregation pattern determination method that can accurately determine a particle aggregation pattern.
本発明は、底面の少なくとも一部を傾斜面とし
た反応容器に収容した反応溶液中の粒子が沈降し
て底面に形成される粒子凝集パターンを光電的に
検出判定するに当たり、容器底面を一様照明し、
この底面の像を同心円状の第1および第2の受光
部を有する受光装置により走査して各受光部につ
いて複数のデータを取り込み、その中心に位置す
る第1の受光部の複数のデータから該データのパ
ターンを判定した後、その判定結果に基づいて前
記第1の受光部の複数のデータおよび第2の受光
部の複数のデータのそれぞれの最大値または最小
値を検出し、次に検出したそれぞれの最大値また
は最小値が所定の範囲内にあるか否かを判定した
後、所定の範囲内にあるそれぞれの最大値または
最小値に基づいて判定関数を求め、その判定関数
と基準数とを比較して凝集パターンの判定を行う
ことを特徴とするものである。 The present invention provides a method for photoelectrically detecting and determining a particle aggregation pattern formed on the bottom surface by precipitation of particles in a reaction solution contained in a reaction container with at least a portion of the bottom surface being inclined. illuminate,
This image of the bottom surface is scanned by a light receiving device having concentric first and second light receiving parts, and a plurality of data are acquired for each light receiving part, and a plurality of data of the first light receiving part located at the center is used to scan the image. After determining the data pattern, the maximum value or minimum value of each of the plurality of data of the first light receiving section and the plurality of data of the second light receiving section is detected based on the judgment result, and then the detected After determining whether each maximum value or minimum value is within a predetermined range, a judgment function is calculated based on each maximum value or minimum value within the predetermined range, and the judgment function and the reference number are calculated. The feature is that the agglomeration pattern is determined by comparing the two.
以下図面を参照して本発明を詳細に説明する。 The present invention will be described in detail below with reference to the drawings.
第4図は本発明方法を実施する粒子凝集パター
ン判定装置の一例の構成を示す斜視図である。本
例では底面を円錐形状に傾斜させた反応容器40
を基板にマトリツクス状に多数配列形成した透明
部材より成るマイクロプレート41を用い、この
アイクロプレート42の各反応容器40に粒子を
含む被検液を収容して凝集反応を行なわせる。マ
イクロプレート41は、本例ではX軸方向に10
個、X軸と直交するY軸方向に12個の合計120個
の反応容器を具え、Y軸方向の12個の反応容器4
0に同一検体を収容する。したがつて、1つのマ
イクロプレート41はこの10検体12チヤンネルの
分析に行なうことになる。このマイクロプレート
41は、図示しない移送手段によりX軸方向の反
応容器40の配列ピツチに応じてX軸方向に間欠
的に移送する。マイクロプレート41の所定の停
止位置にはY軸方向に往復移動可能なアーム42
にマイクロプレート41を挟むように対向して投
光部43および受光部44を一体に保持し、この
アーム42をマイクロプレート41のX軸方向の
間欠移送に同期して交互に往動および復動させる
ことにより10検体12チヤンネルの反応容器40を
順次走査する
第5図は第4図に示す投光部43および受光部
44の構成を示す線図である。投光部43は光源
ランプ45からの光により熱吸収フイルタ46、
コンデンサレンズ47および照明レンズ48を経
てマイクロプレート41の反応容器40の底面を
一様照明するよう構成し、受光部44は一様照明
された反応容器40の底面の像を結像レンズ49
を経て受光装置50で受光するよう構成する。受
光装置50は平面図をも示すように同心円状に分
離して設けた2個の受光素子51および52をも
つて構成し、これら受光素子51,52の光電変
換出力は、それぞれ増幅器53,54で増幅した
後、アナログスイツチ55およびA/D変換器5
6を経てCPU57に取込む。 FIG. 4 is a perspective view showing the configuration of an example of a particle aggregation pattern determining apparatus for implementing the method of the present invention. In this example, a reaction vessel 40 whose bottom surface is inclined in a conical shape
A microplate 41 made of a transparent member having a large number of particles arranged in a matrix on a substrate is used, and each reaction vessel 40 of this microplate 42 contains a test liquid containing particles to perform an agglutination reaction. In this example, the microplate 41 has a diameter of 10 mm in the X-axis direction.
There are 12 reaction vessels in total, 12 in the Y-axis direction perpendicular to the X-axis, and 12 reaction vessels in the Y-axis direction.
0 contains the same specimen. Therefore, one microplate 41 is used to analyze these 10 samples and 12 channels. This microplate 41 is intermittently transferred in the X-axis direction according to the arrangement pitch of the reaction vessels 40 in the X-axis direction by a transfer means (not shown). At a predetermined stopping position of the microplate 41, there is an arm 42 that can reciprocate in the Y-axis direction.
A light emitting part 43 and a light receiving part 44 are held together while facing each other so as to sandwich the microplate 41 between them, and this arm 42 is alternately moved forward and backward in synchronization with the intermittent movement of the microplate 41 in the X-axis direction. 5 is a diagram showing the structure of the light projecting section 43 and the light receiving section 44 shown in FIG. 4. The light projecting section 43 uses the light from the light source lamp 45 to pass through a heat absorption filter 46,
The configuration is such that the bottom surface of the reaction container 40 of the microplate 41 is uniformly illuminated through a condenser lens 47 and an illumination lens 48, and the light receiving section 44 transmits an image of the uniformly illuminated bottom surface of the reaction container 40 to an imaging lens 49.
The configuration is such that the light is received by the light receiving device 50 through the following steps. As shown in the plan view, the light receiving device 50 includes two light receiving elements 51 and 52 arranged concentrically and separately, and the photoelectric conversion outputs of these light receiving elements 51 and 52 are transmitted through amplifiers 53 and 54, respectively. After amplification, the analog switch 55 and the A/D converter 5
6 to the CPU 57.
本例では各反応容器40の底面を円錐形とした
から、被検液が凝集結合した場合には第6図Aに
示すように反応容器40の底面に一様推積パター
ン61が形成され、凝集結合しない場合には第6
図Bに示すように円錐形底面の中央部に集積パタ
ーン62が形成される。したがつて、アーム42
のY軸方向の移動により投光部43および光光部
44を一体に移動して反応容器40を走査する
と、受光素子51からは第6図Aの一様推積パタ
ーンの場合にはマイクロプレート41の厚みが反
応率器40の中央部に向けて薄くなつているか
ら、第7図Aに示すように反応容器40の中央部
近傍において出力が大きくなる光電変換出力パタ
ーンが得られ、また第6図Bの集積パターンの場
合には第7図Bに示すように反応容器40の中央
部近傍において出力が小さくなる光電変換出力パ
ターンが得られる。 In this example, since the bottom surface of each reaction container 40 is conical, when the test liquid is coagulated and bonded, a uniform accumulation pattern 61 is formed on the bottom surface of the reaction container 40 as shown in FIG. 6A. If there is no cohesive bond, the sixth
As shown in Figure B, an integrated pattern 62 is formed at the center of the conical bottom surface. Therefore, arm 42
When the reaction vessel 40 is scanned by moving the light emitting unit 43 and the light beam unit 44 together in the Y-axis direction, the light receiving element 51 detects the microplate in the case of the uniform estimation pattern of FIG. 6A. Since the thickness of the reactor 41 becomes thinner toward the center of the reactor 40, a photoelectric conversion output pattern is obtained in which the output increases near the center of the reaction vessel 40, as shown in FIG. 7A. In the case of the integrated pattern shown in FIG. 6B, a photoelectric conversion output pattern is obtained in which the output becomes smaller near the center of the reaction vessel 40, as shown in FIG. 7B.
第7図AおよびBに示す出力パターン、すなわ
ち反応容器40の直径の始点1から終点Nまでの
光電変換出力は全てサンプリングしてCPU57
に取込むこともできるが、本例では測定精度の向
上と、走査処理時間の短縮を考慮し、反応容器4
0のほぼ中心部を中心とする任意の走査区間n1か
らn2を設定し、この走査区間内で任意の等間隔
(1μ〜100μ)のn個の位置における受光素子51
の光電変換出力と、受光素子51が上記各位置に
位置するときの受光素子52の光電変換出力とを
それぞれサンプリングしてCPU57に取込む。
なお、受光素子51,52の光電変換出力のサン
プリング個数nは測定精度、反応容器40の直
径、経験則的な凝集パターンの形態、走査区間、
試薬等の諸条件を考慮して予じめ決定されるもの
であり、例えば反応容器40の直径が5mm〜10mm
前後であれば数十個〜百個とすることができる。 The output pattern shown in FIG. 7A and B, that is, the photoelectric conversion output from the starting point 1 to the ending point N of the diameter of the reaction vessel 40 is all sampled and sent to the CPU 57.
However, in this example, in consideration of improving measurement accuracy and shortening the scanning processing time, the reaction vessel 4
An arbitrary scanning section n 1 to n 2 centered approximately at the center of 0 is set, and the light receiving elements 51 are placed at n positions at arbitrary equal intervals (1 μ to 100 μ) within this scanning section.
The photoelectric conversion output of the light receiving element 51 and the photoelectric conversion output of the light receiving element 52 when the light receiving element 51 is located at each of the above positions are sampled and taken into the CPU 57, respectively.
Note that the sampling number n of the photoelectric conversion outputs of the light receiving elements 51 and 52 depends on the measurement accuracy, the diameter of the reaction vessel 40, the form of the empirical agglomeration pattern, the scanning period,
This is determined in advance by considering various conditions such as reagents, etc. For example, if the diameter of the reaction container 40 is 5 mm to 10 mm.
If it is about 100 to 100, the number can be about 100 to 100.
以下本実施例の判定操作を第8図に示すフロー
チヤートを参照しながら説明する。なお、以下の
説明では受光素子51の光電変換出力を中心部デ
ータと称し、受光素子52の光電変換出力を周辺
部データと称する。 The determination operation of this embodiment will be explained below with reference to the flowchart shown in FIG. In the following description, the photoelectric conversion output of the light receiving element 51 will be referred to as center data, and the photoelectric conversion output of the light receiving element 52 will be referred to as peripheral data.
先ず、n個の中心部データと周辺部データとを
取込んだ後、中心部データに基いてこの中心部デ
ータのパターンが「上に凸」(第7図A)か、「下
に凸」(第7図B)かを判定する。この判定はn1
番目の中心部データAと(n1+α)番目(αはn/
2以下の任意の数)の中心部データBとを比較す
ると共に、n2番目の中心部データCと(n2−α′)
番目(α′=αまたはn/2以下の任意の数)の中心
部データDとを比較し、A<B、C<Dのときは
「上に凸」、A>B、C>Dのときは「下に凸」と
判定し、A<B、C<Dのとき、またはA>B、
C<Dのときは以下の全ての判定を不能とする
(最終的判定を「?」とする)。 First, after importing n pieces of center data and peripheral data, it is determined whether the pattern of the center data is "convex upward" (Figure 7A) or "convex downward" based on the center data. (Figure 7B). This judgment is n 1
The center data A and the (n 1 + α)th (α is n/
(any number less than or equal to 2) is compared with the n second center data C and (n 2 - α')
Compare the center data D of the th (α′=α or any number less than or equal to n/2), and when A<B, C<D, it is “convex upward”, and when A>B, C>D When A<B, C<D, or A>B,
When C<D, all of the following determinations are disabled (the final determination is set to "?").
「上に凸」と判定されたときは次に中心部デー
タの最大値を検出し、また「下に凸」と判定され
たときは次に中心部データの最小値を検出する。
最大値の検出は先ずn個の中心部データのうち最
大値(REmax)を検出すると共にREmaxを与え
る位置での周辺部データ(RF)を求める。ここ
で最大値が2個以上存在する場合は、(n/2−1)
又は(n/2−2)、(n/2+1)又は(n/2+2)番
目に近い方(近さの度合が同一のときはサンプリ
ング順序の若い方、例えばn/2番目と(n/2+2)
番目が最大値で等しい時はn/2番目)とする。本
例ではREmax、RFとこれと隣接する両隣のサン
プリング位置でのデータ(各々計3コ)とで平均
をとりその値を測光データとして、得られたデー
タを中心部REmax、周辺部RFmaxとする。ま
た、最小値の検出は上記「最大値検出」と同様に
n個の中心部データから最小値(REmin)とそ
の位置での周辺部データ(RF)とを検出すると
共にその両隣の位置での各々3コのデータで中心
部、周辺部の夫々の平均を求めて測光データと
し、同様にREmin、RFminとする。 When it is determined that it is "convex upward", the maximum value of the center data is next detected, and when it is determined that it is "convex downward", the minimum value of the center data is next detected.
To detect the maximum value, first, the maximum value (REmax) is detected among the n pieces of center data, and the peripheral data (RF) at the position where REmax is given is determined. If there are two or more maximum values, (n/2-1)
or the one closest to (n/2-2), (n/2+1) or (n/2+2) (if the degree of proximity is the same, the one with the younger sampling order, for example, the n/2nd and (n/2+2) )
If the th is the maximum value and is equal, set it to n/2th). In this example, take the average of REmax, RF, and the data at adjacent sampling positions on both sides (total of 3 each), use that value as photometric data, and use the obtained data as REmax in the center and RFmax in the periphery. . In addition, the detection of the minimum value is performed by detecting the minimum value (REmin) from the n center data and the peripheral data (RF) at that position, as well as detecting the peripheral data (RF) at the positions on both sides, in the same way as the above "maximum value detection". For each of the three pieces of data, the average of the center and peripheral areas is calculated and used as photometric data, and similarly, it is used as REmin and RFmin.
以上の操作により検出した測光データは受光素
子51,52の受光面積の違いによりスパンが等
しくないので、両スパンが等しくなるように補正
定数を乗じてEmax、FmaxまたはEmin、Fmin
を求める。 The photometric data detected by the above operation has unequal spans due to the difference in the light receiving areas of the light receiving elements 51 and 52. Therefore, Emax, Fmax or Emin, Fmin is multiplied by a correction constant so that both spans are equal.
seek.
次に上記の補正処理した測光データEmax、
FmaxまたはEmin、Fminが予じめ設定したL.
LimitとH.Limit(第7図A,B参照)の所定の範
囲にあるか否かを比較し、
L.Limit<Emax、FmaxまたはEmin、Fmin<
H、Limit
のときは次に判定関数Gの計算に移り、Emax、
Fmax≧H.LimitまたはEmin、Fmin≦L.Limitの
ときは最終判定結果を「?」とする。 Next, the photometric data Emax after the above correction process,
Fmax or Emin, L that is preset by Fmin.
Compare whether or not the Limit and H.Limit (see Figure 7 A and B) are within the predetermined range, and L.Limit<Emax, Fmax or Emin, Fmin<
When H, Limit, next move on to calculation of judgment function G, Emax,
When Fmax≧H.Limit or Emin, Fmin≦L.Limit, the final judgment result is “?”.
判定関数Gは本例では補正処理した中心部デー
タEと周辺部データFとの比G=F/Eを用い、
これを演算する。なお、この判定関数GはF/E
の他、F−E、logF/E、log(F−E)log(F−
QE)ただしQは定数、等を用いることもできる。 In this example, the determination function G uses the ratio G=F/E between the corrected center data E and peripheral data F,
Calculate this. Note that this judgment function G is F/E
In addition, F-E, logF/E, log(F-E) log(F-
QE) However, Q can also be a constant, etc.
次に上記判定関数Gの値と予じめ設定した高お
よび低レベルの閾値H.ThrおよびL.Thrとを比較
し、G≧H.Thrすなわち「非凝集」のときは「−
J、G≦L.Thrすなわち「凝集」のときは、
「+」、L.Thr<G<H.Thrのときは「?」と判定
する。なお閾値H.Thr、L.ThrはH.Thrをあまり
高くすると判定「+」の精度は高くなる反面、判
定不能「?」が出る確率が高くなり、またL.Thr
をあまり低くすると判定「−」の精度は高くなる
反面、同様に判定不能「?」が出る確率が高くな
るから、使用する判定関数Gや試薬、検体状況、
周囲環境(温度、湿度)、判定精度等を考慮して
適切に設定する。 Next, the value of the above-mentioned judgment function G is compared with preset high and low level thresholds H.Thr and L.Thr, and when G≧H.Thr, that is, “non-aggregation”, “−
When J, G≦L.Thr, that is, “agglomeration”,
When “+”, L.Thr<G<H.Thr, it is judged as “?”. Note that if the threshold values H.Thr and L.Thr are set too high, the accuracy of the judgment "+" will increase, but on the other hand, the probability that an undecidable "?" will appear will increase, and L.Thr
If the value is too low, the accuracy of the judgment "-" will increase, but the probability of an undeterminable "?" will also increase, so the judgment function G used, the reagent, the sample situation,
Set appropriately by considering the surrounding environment (temperature, humidity), judgment accuracy, etc.
以上述べたように本発明においては、底面の少
なくとも一部を傾斜面とした反応容器の底面に形
成される凝集パターンの像を、同心円状の第1お
よび第2の受光部を有する受光装置により走査し
て各受光部について複数のデータを取り込み、そ
の中心に位置する第1の受光部の複数のデータか
ら該データのパターンを判定した後、その判定結
果に基づいて前記第1の受光部の複数のデータお
よび第2の受光部の複数のデータのそれぞれの最
大値または最小値を検出し、次に検出したそれぞ
れの最大値または最小値が所定の範囲内にあるか
否かを判定した後、所定の範囲内にあるそれぞれ
の最大値に基づいて判定関数を求め、その判定関
数と基準値とを比較して凝集パターンを判定する
ようにしたから、凝集くずれが生じても、また反
応容器底面における凝集パターンがいかなる位
置、例えば凝集パターンの中心と容器底面中心と
がずれている場合や凝集パターンが底面の一方向
に片寄つて形成された場合でも凝集パターンを高
精度で判定することができる。 As described above, in the present invention, an image of an agglomeration pattern formed on the bottom surface of a reaction vessel having at least a portion of the bottom surface as an inclined surface is captured by a light receiving device having concentric first and second light receiving sections. After scanning and capturing a plurality of data for each light receiving section, and determining the pattern of the data from the plurality of data of the first light receiving section located at the center, the data pattern of the first light receiving section is determined based on the determination result. After detecting the respective maximum or minimum values of the plurality of data and the plurality of data of the second light receiving section, and then determining whether each of the detected maximum or minimum values is within a predetermined range. , a determination function is determined based on each maximum value within a predetermined range, and the aggregation pattern is determined by comparing the determination function with a reference value, so even if aggregation failure occurs, the reaction vessel The agglomeration pattern can be determined with high accuracy no matter where the aggregation pattern is located on the bottom surface, such as when the center of the aggregation pattern is misaligned with the center of the bottom of the container or when the aggregation pattern is formed off-centered in one direction on the bottom surface. .
第1図、第2図および第3図はそれぞれ従来の
凝集パターンの側光検出装置の構成を示す線図、
第4図および第5図は本発明方法を実施する粒子
凝集パターン判定装置の一例の構成を示す線図、
第6図AおよびBは反応容器底面に形成される一
様推積パターンおよび集積パターンを示す線図、
第7図AおよびBは第5図に示す受光装置の出力
パターンを示す線図、第8図は本発明判定方法の
一例の順次の操作を説明するためのフローチヤー
トである。
40……反応容器、41……マイクロプレー
ト、42……アーム、43……投光部、44……
受光部、45……光源、46……熱吸収フイル
タ、47……コンデンサレンズ、48……照明レ
ンズ、49……結像レンズ、50……受光装置、
51,52……受光素子、53,54……増幅
器、55……アナログスイツチ、56……A/D
変換器、57……CPU、61……一様推積パタ
ーン、62……集積パターン。
FIG. 1, FIG. 2, and FIG. 3 are diagrams showing the configuration of a conventional agglomerated pattern side light detection device, respectively;
FIG. 4 and FIG. 5 are diagrams showing the configuration of an example of a particle aggregation pattern determination device that implements the method of the present invention;
FIGS. 6A and 6B are diagrams showing a uniform estimation pattern and an accumulation pattern formed on the bottom of the reaction vessel;
7A and 7B are diagrams showing the output pattern of the light receiving device shown in FIG. 5, and FIG. 8 is a flow chart for explaining the sequential operations of an example of the determination method of the present invention. 40... Reaction container, 41... Microplate, 42... Arm, 43... Light projecting section, 44...
Light receiving section, 45... Light source, 46... Heat absorption filter, 47... Condenser lens, 48... Illumination lens, 49... Imaging lens, 50... Light receiving device,
51, 52... Light receiving element, 53, 54... Amplifier, 55... Analog switch, 56... A/D
Converter, 57... CPU, 61... Uniform estimation pattern, 62... Accumulation pattern.
Claims (1)
器に収容した反応溶液中の粒子が沈降して底面に
形成される粒子凝集パターンを光電的に検出判定
するに当たり、容器底面を一様照明し、この底面
の像を同心円状の第1および第2の受光部を有す
る受光装置により走査して各受光部について複数
のデータを取り込み、その中心に位置する第1の
受光部の複数のデータから該データのパターンを
判定した後、その判定結果に基づいて前記第1の
受光部の複数のデータおよび第2の受光部の複数
のデータのそれぞれの最大値または最小値を検出
し、次に検出したそれぞれの最大値または最小値
が所定の範囲内にあるか否かを判定した後、所定
の範囲内にあるそれぞれの最大値または最小値に
基づいて判定関数を求め、その判定関数と基準値
とを比較して凝集パターンの判定を行うことを特
徴とする粒子凝集パターン判定方法。1. In order to photoelectrically detect and judge a particle aggregation pattern formed on the bottom surface by precipitation of particles in a reaction solution contained in a reaction container having at least a part of the bottom surface as an inclined surface, uniformly illuminating the bottom surface of the container, This image of the bottom surface is scanned by a light receiving device having concentric first and second light receiving parts, and a plurality of data are acquired for each light receiving part, and a plurality of data of the first light receiving part located at the center is used to scan the image. After determining the data pattern, the maximum value or minimum value of each of the plurality of data of the first light receiving section and the plurality of data of the second light receiving section is detected based on the judgment result, and then the detected After determining whether each maximum value or minimum value is within a predetermined range, a judgment function is determined based on each maximum value or minimum value within the predetermined range, and the judgment function and the reference value are calculated. A method for determining a particle aggregation pattern, characterized in that the aggregation pattern is determined by comparing the two.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP20082281A JPS58102157A (en) | 1981-12-15 | 1981-12-15 | Judging method for particle agglomeration pattern |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP20082281A JPS58102157A (en) | 1981-12-15 | 1981-12-15 | Judging method for particle agglomeration pattern |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JPS58102157A JPS58102157A (en) | 1983-06-17 |
| JPH0145862B2 true JPH0145862B2 (en) | 1989-10-05 |
Family
ID=16430775
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP20082281A Granted JPS58102157A (en) | 1981-12-15 | 1981-12-15 | Judging method for particle agglomeration pattern |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JPS58102157A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007500358A (en) * | 2003-05-20 | 2007-01-11 | オーミック・アクチボラゲット | Polymer microarray support, fine feature formation method, and optical analyzer |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS61215948A (en) * | 1985-03-22 | 1986-09-25 | Fujirebio Inc | Particle flocculation discriminating device |
| JP2897027B2 (en) * | 1988-10-27 | 1999-05-31 | スズキ株式会社 | Immunological agglutination detector |
| JP2897026B2 (en) * | 1988-10-27 | 1999-05-31 | スズキ株式会社 | Immunological agglutination detector |
| JP3036049B2 (en) * | 1990-10-31 | 2000-04-24 | スズキ株式会社 | Particle aggregation pattern determination method |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS562564A (en) * | 1979-06-21 | 1981-01-12 | Olympus Optical Co Ltd | Deciding method for particle coagulation pattern |
| JPS562563A (en) * | 1979-06-21 | 1981-01-12 | Olympus Optical Co Ltd | Deciding method for particle coagulation pattern |
| JPS562562A (en) * | 1979-06-21 | 1981-01-12 | Olympus Optical Co Ltd | Deciding method for particle coagulation pattern |
-
1981
- 1981-12-15 JP JP20082281A patent/JPS58102157A/en active Granted
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007500358A (en) * | 2003-05-20 | 2007-01-11 | オーミック・アクチボラゲット | Polymer microarray support, fine feature formation method, and optical analyzer |
Also Published As
| Publication number | Publication date |
|---|---|
| JPS58102157A (en) | 1983-06-17 |
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