WO2004023117A1 - 生化学的検査用画像処理方法 - Google Patents
生化学的検査用画像処理方法 Download PDFInfo
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- WO2004023117A1 WO2004023117A1 PCT/JP2003/011019 JP0311019W WO2004023117A1 WO 2004023117 A1 WO2004023117 A1 WO 2004023117A1 JP 0311019 W JP0311019 W JP 0311019W WO 2004023117 A1 WO2004023117 A1 WO 2004023117A1
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- biochemical
- processing method
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
- G01N21/6428—Measuring fluorescence of fluorescent products of reactions or of fluorochrome labelled reactive substances, e.g. measuring quenching effects, using measuring "optrodes"
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
- G01N21/645—Specially adapted constructive features of fluorimeters
- G01N21/6452—Individual samples arranged in a regular 2D-array, e.g. multiwell plates
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
- G01N21/645—Specially adapted constructive features of fluorimeters
- G01N21/6456—Spatial resolved fluorescence measurements; Imaging
- G01N21/6458—Fluorescence microscopy
Definitions
- the present invention relates to an image processing method for a biochemical test for testing a state of a biochemical reaction.
- the term "genosensor J” has been used to refer to a method in which an oligonucleotide is used as a recognition element for a target nucleic acid sequence and a complementary sequence on the surface of a two-dimensional array.
- the concept of the dienosensor includes a microfabrication device that can quickly detect high predication and has microelectronic components at each test site.
- nucleic acid recognition elements are immobilized in tightly packed holes or channels that are spotted across a solid support material wafer.
- the manufacture of microchannel or nanochannel glass and porous silicon useful as support wafers is well known. Microfabrication technology can be used.
- This flow-through sensor can be used in a variety of known detection systems, including micro-machined optical and electronics sensing components, films, charge-coupled device arrays, camera systems, and fluorescent storage technologies. Method.
- This flow-through device has the following advantages over known planar surface designs.
- the time required for the hybridization reaction is reduced (the time required for the average target molecule to encounter the probe bound to the surface is reduced from several hours to several milliseconds), and the hybridization time is reduced.
- the speed of the dimensionation is increased, and mispairing can be identified in both forward and reverse reactions.
- FIG. 12 is a diagram showing a tapered sample array forming a three-dimensional array.
- a porous glass wafer 101 is provided with a plurality of tapered holes 102.
- Each of the holes 102 has a tapered well 103 embedded therein.
- the tapered cell 103 contains a channel 104 with a diameter of 0.1 — 1 ⁇ ⁇ ⁇ at the bottom that constitutes the binding region for the biomolecule immobilized there.
- Each channel 104 has many minute through holes 105 as shown. The detection is performed in the following steps using this array.
- a hybridization buffer (50 mM Tris) with a concentration of at least 5 nM (5 fmo1 / ⁇ 1) and a specific activity of at least 5,000 cpm / fmo1 _ Dissolve the target DNA in HC1, pH 8 2 mM EDTA, 3.3 M tetramethylammonium chloride).
- PCR fragments of several hundred bases in length are suitable for hybridization with oligonucleotides that are tethered to at least one long surface.
- hybridization can be performed with a buffer containing 1 M KCL or NaCl or 5.2 M betain. it can.
- CCD dienosensor One device with high resolution and high sensitivity is provided for chemiluminescent, fluorescent or radioactive labeling.
- biochemical tests were performed using the three-dimensional array shown in Fig. 12.
- ⁇ first make an array for biochemical test. Then, excitation light is applied to the standard reflector placed under microscope observation, and a reference image is captured with a CCD camera. Next, the reflector is discharged, an array for biochemical examination is placed at the same position as the above, and a solution of a test sample labeled with a fluorescent molecule is supplied. Causes a binding reaction. Subsequently, excitation light is applied to the biochemical test array, and the fluorescent image is taken with a CCD camera to form a sample image. By correcting this sample image with a reference image, fluorescent light generated from many probe array elements 3, that is, fine patterns, is detected.
- An object of the present invention is to provide an image processing method for biochemical inspection, which can accurately and quickly detect a signal indicating a light emission luminance of a fine pattern included in a sample image by a simple process. Disclosure
- the image processing method for a biochemical test according to the present invention is a biochemical test in which a solution of a biochemical substance is held on a surface thereof, where the biochemical substance specifically reacting with the biochemical substance is held.
- An image processing method for a biochemical test wherein a reaction state between a substance and a biochemical substance that specifically reacts with the biochemical substance is inspected for each probe array element.
- An image of the array is taken as a sample image, and a background image in which a fine pattern image indicating the intensity of light generated from each probe array element is removed from the sample image is referred to as a reference image. Then, the sample image is corrected by the reference image.
- the image processing method for biochemical examination according to the present invention is the method according to the above (1), wherein the image of the fine pattern is subjected to a contraction process and then subjected to an expansion process. Then, the reference image is extracted.
- the image processing method for biochemical examination according to the present invention is the method according to the above (2), wherein the contraction processing and the expansion processing use a kernel having a predetermined shape to eliminate the fine pattern. Perform as many times as necessary to make
- the image processing method for biochemical examination of the present invention is the method according to the above (3), wherein the contraction processing and the expansion processing use a 3 ⁇ 3 pixel cross-shaped kernel, and The number of pixels equivalent to or greater than the maximum radius of the circumscribed circle of the pattern is defined as the number of processing.
- the image processing method for biochemical examination according to the present invention is the method according to the above (3), and the shrinking process and the expanding process are performed in a manner corresponding to "the maximum diameter of a circumscribed circle of the fine pattern or more.
- the image processing method for biochemical examination according to the present invention is the method according to any one of the above (1) to (5), wherein the brightness value of each pixel of the sample image is calculated by The sample image is corrected by dividing by the luminance value of each pixel of the reference image.
- the image processing method for biochemical examination according to the present invention is the method according to any one of the above (1) to (5), and further comprises the steps of:
- the sample image is corrected by subtracting the luminance value of each pixel of the reference image.
- the image processing method for biochemical examination according to the present invention is the method according to any one of the above (1) to (5), and further comprises: (Reference) for each pixel of the reference image.
- the sample image is corrected by calculating the maximum brightness value Z of the image (the brightness value of the pixel) and multiplying the calculated value by the brightness value of each pixel of the corresponding sample image.
- the image processing method for biochemical examination according to the present invention is the method according to any one of the above (1) to (8), wherein the reference image is subjected to a smoothing process, and the sample image is processed. Correct the.
- the image processing method for biochemical examination of the present invention is the method according to any one of the above (1) to (9), and the image of the fine pattern is formed of a large number of fluorescently labeled microscopic images. Pot A fluorescence image obtained by illuminating the biochemical inspection array having excitation light with excitation light, and a signal indicating the fluorescence luminance of each of the minute spots by correcting the sample image. Is detected.
- FIG. 1 is a diagram showing a configuration of a microscope apparatus that performs an image processing method for biochemical detection according to an embodiment of the present invention.
- FIG. 2A is a diagram showing a schematic configuration of an array for a biochemical test according to an embodiment of the present invention.
- FIG. 2B is a diagram showing a schematic configuration of an array for a biochemical test according to the embodiment of the present invention.
- FIG. 3 is a flowchart showing an inspection procedure according to the embodiment of the present invention.
- FIG. 4 is a diagram showing an example of a sample image according to the embodiment of the present invention using equal luminance lines.
- FIG. 5 is a diagram showing a luminance distribution of a sample image according to the embodiment of the present invention.
- FIG. 6A is a diagram showing a cross-shaped kernel according to the embodiment of the present invention.
- FIG. 6B is a diagram showing a circular kernel according to the embodiment of the present invention.
- FIG. 6C is a diagram showing a circular kernel according to the embodiment of the present invention.
- FIG. 7 is an isoluminance diagram of a reference image according to the embodiment of the present invention.
- FIG. 8 shows the brightness of the reference image according to the embodiment of the present invention.
- FIG. 9 is a diagram showing a corrected sample image according to the embodiment of the present invention.
- FIG. 10 is a diagram showing a luminance distribution of the corrected sample image according to the embodiment of the present invention.
- FIG. 11 is a diagram showing a luminance distribution of a reference image subjected to a smoothing process according to the embodiment of the present invention.
- FIG. 12 is a diagram showing a tapered sample ⁇ L array which forms a three-dimensional array according to a conventional example.
- FIG. 1 is a diagram showing a configuration of a microscope apparatus that performs an image processing method for biochemical examination according to an embodiment of the present invention.
- a mercury light source or the like is used as the excitation light source 11.
- a shutter 12, a lens 13, an excitation filter 14, and a die-cloth mirror 15 are arranged on the optical path of the excitation light emitted from the light source 11.
- An objective lens 16 and an array 1 for biochemical examination, which will be described later, are arranged on the reflection optical path of the Tsukumila 15.
- a fluorescent filter 17, an imaging lens 18, and a CCD camera 19 are arranged on the transmitted light path of the dichroic mirror 15.
- An image processing unit 20 is connected to the CCD camera 19, and a display unit 21 is connected to the image processing unit 20.
- FIG. 2A and 2B are diagrams showing a schematic configuration of an array for a biochemical test used in the present embodiment.
- FIG. 2A is a diagram showing a format on an upper surface, and FIG. It is a part side view.
- Biochemical testing equipment Ray 1 consists of the three-dimensional array force shown in Fig. 12.
- array 1 for biochemical examination has probe array elements 3 (small spots) arranged two-dimensionally.
- These probe array elements 3 comprise a tapered gel 103 as shown in FIG. 12 and a channel 104 with a diameter of 0.1—1 ⁇ at the bottom.
- each channel 104 has many minute through holes 105 as shown in FIG. 2B.
- a probe 31 is connected to the wall surface of each through hole 105.
- the solution of the probe is desirably supplied to the different tapered wells 103 of the surface of the porous glass wafer 101.
- the probe contained in the solution is preferably held in each through hole 105 of each channel 104 provided inside the porous glass wafer 101, but the porous glass wafer 1 Instead of providing 0 1, a small amount of the probe solution may be directly dispensed and held in each through hole 105.
- the member including the through hole 105 is configured as a three-dimensionally structured reaction carrier made of a porous or fibrous substance or a molded product.
- the examiner places the biochemical test array 1 under microscopic observation.
- this array for biochemical analysis 1 a different probe is previously immobilized on the probe array element 3 for each of the probe array elements.
- the inspector supplies a solution of the test sample labeled with a fluorescent molecule to the biochemical test array 1, and the probe and the sample are supplied. After causing a binding reaction with the substance in the solution, the unbound substance is removed from the probe array element 3.
- excitation light is applied to the biochemical test array 1 (substrate), and a sample image is taken with a CCD camera 19.
- This sample image is captured for each type of fluorescent substance used for the sign.
- fine patterns of fluorescence generated from many probe array elements 3 which are also proportional to the excitation intensity are scattered on the image showing the packed ground (background) proportional to the excitation intensity.
- the image has noise that is unrelated to the excitation intensity.
- the image processing unit 20 extracts a background image obtained by removing the fine pattern from the sample image, and sets each of the background images as a reference image. Then, the image processing section 20 corrects each corresponding sample image with each reference image. Thereby, the signal of the fine pattern included in the sample image is accurately detected.
- FIG. 3 is a flowchart showing an inspection procedure according to the present embodiment. The inspection method and its operation are described below with reference to FIG.
- Step S 1 First, the examiner prepares a solution of a biochemical substance labeled with a fluorescent molecule such as FITC.
- Step S2 The inspector supplies a solution of the biochemical substance to the biochemical test array 1 and causes it to react specifically with each probe.
- the examiner places the biochemical test array 1 shown in Fig. 2A on the sample surface under the observation with the fluorescence microscope shown in Fig. 1, and uniformly applies a solution of the biochemical substance on the surface. Supply.
- This causes a specific binding reaction between the probe of the probe array element 3 ⁇ on the biochemical test array 1 and the biochemical substance contained in the solution.
- the number of fluorescent molecules according to the reaction intensity is indirectly bound to the probe.
- Step S3 The tester removes unreacted biochemical substances from the biochemical test array 1.
- the inspector removes unbound biochemical substances from each probe array element 3 of the biochemical test array 1 after the above-described binding reaction.
- a method of washing with a washing solution is employed, but when the reaction carrier has a vertical structure, the solution may be removed by a pump or the like without using the washing solution.
- the use of the cleaning solution ensures the removal.
- Step S4 The examiner takes an image of the biochemical inspection array 1 as a sample image with a CCD camera 19. In this case, the array 1 for biochemical examination is excited by the excitation light source 11 and the fluorescence image is captured.
- Excitation light from the excitation light source 11 passes through the lens 13 and the excitation filter 14 and is reflected by the dichroic mirror 15, and passes through the objective lens 16 for biochemical inspection arrays.
- the entire top surface of 1 is irradiated.
- the reflected light from the biochemical test array 1 that forms the background, the auto-fluorescence from the biochemical test array 1, stray light from the outside, etc. are reflected by the objective lens 16 and the die-cloth
- the light enters the CCD camera 19 via the bandpass filter 17 and the bandpass filter 17 and the imaging lens 18, and a sample image is captured.
- the sample image captured by the CCD camera 19 is sent to the image processing unit 20.
- the CCD is used as the light receiving element.
- the CCD is not limited to the CCD and another area sensor may be used. Therefore, “CCD” described below is also valid for "area sensor”.
- FIG. 4 is a diagram illustrating an example of a sample image using equal luminance lines.
- reference numeral 41 denotes an isoluminance line of a fine pattern arranged two-dimensionally
- reference numeral 42 denotes an isoluminance line of the background
- a numeral near the isoluminance line 42 of the background Indicates the luminance of the isoluminance line of the background.
- FIG. 5 is a diagram showing the luminance distribution of the sample image.
- the horizontal axis represents the pixel (pixel) address
- the vertical axis represents the luminance (gradation)
- a predetermined pixel row L on the sample image shown in FIG. Represents the luminance distribution of.
- Step S5 The image processing section 20 performs contraction processing on each sample image.
- a cross-shaped kernel composed of 3 ⁇ 3 pixels shown in FIG. 6A is applied.
- the image processing unit 20 applies the central pixel 61 of the cross-shaped kernel shown in FIG. 6A to each pixel of the sample image, and indicates the brightness of the central pixel 61 by five pixels (central pixel 6 1) and replace it with the minimum luminance of the four pixels (upper, lower, left and right), that is, perform contraction processing.
- this contraction processing is performed once for all the pixels of the sample image, it contracts by one surrounding pixel.
- this shrinking process is performed for the number of pixels equal to or greater than the number of pixels (for example, 13 pixels) corresponding to the maximum radius of the circumscribed circle of the fine pattern 41, the entire fine pattern disappears and only the background is removed from the sample image. The image is modulated.
- this contraction processing can be applied to a circular kernel in addition to a cross-shaped kernel composed of 3 ⁇ 3 pixels.
- a circular kernel composed of 5 ⁇ 5 pixels shown in FIG. 6B can be used.
- Step S6 The image processing section 20 performs dilation processing on each sample image subjected to the contraction processing in step S5.
- a cross-shaped force cell composed of 3 ⁇ 3 pixels shown in FIG. 6A is applied.
- the image processing unit 20 applies the center image of the cross-shaped kernel shown in FIG. 6A to each pixel of the contracted sample image.
- a process of applying the element 61 and replacing the luminance of the central pixel 61 with the maximum luminance of the five pixels indicated by the hatched portion, that is, expansion processing is performed.
- this dilation is performed once for all pixels of the eroded sample image, it expands by one surrounding pixel.
- this dilation processing is performed a number of times equal to or greater than the number of pixels (for example, 13 pixels) corresponding to the maximum radius of the circumscribed circle of the fine pattern 41, the modulated background image becomes Then, the demodulated image is obtained in a state where all the fine patterns of the signal have disappeared.
- This image is referred to as a reference image.
- a circular kernel can be applied to this dilation processing in addition to the cross-shaped kernel composed of 3 ⁇ 3 pixels. For example, a circular kernel composed of 5 ⁇ 5 pixels shown in FIG. 6B can be used.
- FIG. 7 is an isoluminance diagram of the reference image obtained in steps S5 and S6, and the numbers near the isoluminance lines indicate the luminance of each isoluminance line.
- the fine pattern 41 disappears from the sample image shown in FIG. 4, and only the knock ground 42 1 is shown.
- FIG. 8 is a diagram showing the luminance distribution of the reference image, in which the horizontal axis represents the pixel (pixel) address and the vertical axis represents the luminance (gradation).
- Figure 8 shows the luminance distribution after the contraction processing and dilation processing have been performed on the sample image.
- Step S7 The image processing section 20 detects the maximum luminance from the luminance distribution of the reference image shown in FIG. Then, the image processing unit 20 calculates (the maximum luminance of the reference image / the luminance of the pixel) for each pixel of the reference image, and multiplies the sample image to obtain a corrected sample image. .
- the image processing unit 20 divides the sample image by the reference image, and multiplies the result by the maximum luminance of the reference image, which is a constant value, to obtain a corrected sample image.
- the maximum brightness of the reference image which is a constant value, is for adjusting the brightness level to the sample image before correction, and is not limited to the maximum brightness of the reference image. However, this does not impair the effects described below. That is, 1 may be used instead of the maximum luminance of the reference image.
- the image processing unit 20 determines the luminance value of each pixel of the sample image by using the corresponding reference image. A corrected sample image is obtained by dividing by the luminance value of each pixel.
- FIG. 9 is a diagram illustrating a corrected sample image obtained by multiplying the sample image by “maximum luminance of reference image / luminance of pixel”.
- the fine pattern 4 11 is represented, and the background 4 22 is represented by a luminance distribution with a constant intensity 500.
- FIG. 10 is a diagram showing the luminance distribution of the corrected sample image, in which the horizontal axis represents the pixel (pixel) address and the vertical axis represents the luminance (gradation).
- FIG. 10 shows the luminance distribution after the correction has been performed on the sample image.
- the background is PC Kasumi 11019
- the luminance value of the signal 522 shown in FIG. 17 is almost constant (about 500).
- the seven signals 511 indicating the fine pattern protruding above the signal 522 indicating the knock ground have an almost constant maximum luminance value of 100 000, that is, the amount of protrusion of 50,000. It has become.
- the protrusion amount of each signal 511 indicating a fine pattern is almost constant value 500 for all seven signals, indicating an accurate luminance value without being affected by the background. . Therefore, if the protruding amount is obtained and used as the signal luminance value after the correction, an accurate luminance value can be obtained.
- the image processing unit 20 can perform a smoothing process (low-pass filter process) on the reference image obtained in step S6. At this time, for example, a circular kernel composed of 11 ⁇ 11 pixels shown in FIG. 6C is applied.
- the image processing unit 20 fits the center pixel of a 11 ⁇ 11 pixel circular kernel to each pixel of the reference image, and calculates the luminance of this central pixel as the average of 97 pixels in the circular kernel.
- the process of replacing with the luminance that is, the smoothing process is performed. If the maximum radius of the circumscribed circle of the fine pattern 41 is, for example, 13 pixels, this smoothing process is performed, for example, 10 times on all the pixels of the reference image.
- FIG. 11 is a diagram showing the luminance distribution of the smoothed reference image.
- the horizontal axis shows the pixel (pixel) address, and the vertical axis shows the luminance (gradation).
- the step of the luminance value represented by the signal 52 1 indicating the notch ground in FIG. 8 disappears, and a smooth signal 5 23 3 is obtained.
- step S7 a corrected sample image is obtained.
- the tops of the seven signals 5 11 indicating the fine pattern in FIG. 10 become flat.
- the image processing unit 20 may execute the contraction process and the dilation process using a kernel of any shape other than 3 ⁇ 3 pixels or 5 ⁇ 5 pixels. it can.
- a kernel of any shape other than 3 ⁇ 3 pixels or 5 ⁇ 5 pixels. it can.
- X “the number of pixels corresponding to the maximum diameter of the circumcircle or more”
- the circular kernel of pixels For example, the contraction process and the dilation process may be executed once using a circular kernel composed of 27 ⁇ 27 pixels. In this way, the reference image can be obtained by performing the contraction processing and the expansion processing as many times as necessary to eliminate the fine pattern using the kernel of the predetermined shape. it can.
- the image processing unit 20 obtains a corrected sample image by subtracting the luminance value of each surface element of the corresponding reference image from the luminance value of each pixel of the sample image. As a result, unnecessary dark current noise and stray light noise included in the knock ground image are reduced.
- a background image is extracted as a reference image from a sample image in which fine patterns are scattered in the background, and the reference image is extracted.
- the method By correcting the sample image by using the method, it is possible to accurately detect a signal indicating the fluorescence luminance of the fine pattern included in the sample image. That is, by performing the image processing of the present embodiment, a special phenomenon occurs between the probe in the probe array element 3 on the biochemical test array 1 and the biochemical substance contained in the solution. The binding reaction can be accurately detected for each probe array element 3.
- the present invention is not limited to only the above-described embodiment, and can be appropriately modified and implemented without changing the gist.
- the number of turns was 35
- the brightness value of this sign nanore was the same value of 500
- the maximum brightness value of the knock ground was 500.
- these values may be any values.
- the luminance value may be different for each signal.
- a signal of a fine pattern can be reliably eliminated in a short time.
- noise can be removed from a background image by a simple process using a reference image.
- a sample image can be corrected by simple processing using a reference image.
- the biochemical test is generated between the probe in the micro spot on the biochemical test array and the biochemical substance contained in the sample solution. Specific binding reactions can be accurately tested for each microspot. Industrial applicability
- a signal indicating the emission luminance of a fine pattern contained in a sample image is obtained. Accurate and quick detection with simple processing.
- the present invention it is not necessary to acquire a reference image using a standard reflector using a dedicated means as in the related art, and it is possible to acquire a reference image by processing the taken sample image. Therefore, in the present invention, the time required to correct the sample image is shortened, and noise is not mixed when a reference image is obtained as in the case of using a dedicated means. Is improved.
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EP03794132A EP1548423A1 (en) | 2002-09-09 | 2003-08-29 | Image processing method for biochemical test |
AU2003261818A AU2003261818A1 (en) | 2002-09-09 | 2003-08-29 | Image processing method for biochemical examination |
US11/076,333 US20050153356A1 (en) | 2002-09-09 | 2005-03-09 | Image processing method for biochemical test |
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JP2002263034A JP3908135B2 (ja) | 2002-09-09 | 2002-09-09 | 生化学的検査用画像処理方法 |
JP2002-263034 | 2002-09-09 |
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH0552743A (ja) * | 1991-08-23 | 1993-03-02 | Kondo Shirubania Kk | 高感度赤外分光法を用いた凝結性気相物質の非破壊定量分析装置及び方法 |
JP2000338042A (ja) * | 1999-05-25 | 2000-12-08 | Fuji Photo Film Co Ltd | 画像情報のファイリング方法およびファイリング装置 |
WO2001011340A1 (en) * | 1999-08-05 | 2001-02-15 | Cellomics, Inc. | Optical system analysis of cells |
US6341182B1 (en) * | 1997-09-11 | 2002-01-22 | Randox Laboratories Ltd. | Method and apparatus for analyzing an image |
JP2002181708A (ja) * | 2000-12-14 | 2002-06-26 | Asahi Techno Glass Corp | マイクロアレイチップの読取方法及びその装置 |
WO2002057756A1 (fr) * | 2000-12-26 | 2002-07-25 | Olympus Optical Co., Ltd. | Procede et dispositif servant a mesurer la luminance de fluorescence |
-
2002
- 2002-09-09 JP JP2002263034A patent/JP3908135B2/ja not_active Expired - Fee Related
-
2003
- 2003-08-29 WO PCT/JP2003/011019 patent/WO2004023117A1/ja active Application Filing
- 2003-08-29 EP EP03794132A patent/EP1548423A1/en not_active Withdrawn
- 2003-08-29 AU AU2003261818A patent/AU2003261818A1/en not_active Abandoned
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH0552743A (ja) * | 1991-08-23 | 1993-03-02 | Kondo Shirubania Kk | 高感度赤外分光法を用いた凝結性気相物質の非破壊定量分析装置及び方法 |
US6341182B1 (en) * | 1997-09-11 | 2002-01-22 | Randox Laboratories Ltd. | Method and apparatus for analyzing an image |
JP2000338042A (ja) * | 1999-05-25 | 2000-12-08 | Fuji Photo Film Co Ltd | 画像情報のファイリング方法およびファイリング装置 |
WO2001011340A1 (en) * | 1999-08-05 | 2001-02-15 | Cellomics, Inc. | Optical system analysis of cells |
JP2002181708A (ja) * | 2000-12-14 | 2002-06-26 | Asahi Techno Glass Corp | マイクロアレイチップの読取方法及びその装置 |
WO2002057756A1 (fr) * | 2000-12-26 | 2002-07-25 | Olympus Optical Co., Ltd. | Procede et dispositif servant a mesurer la luminance de fluorescence |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102004045131A1 (de) * | 2003-12-24 | 2005-07-28 | Yokogawa Electric Corporation, Musashino | Korrekturverfahren für die Lichtmengenverteilung und Biochipleser |
DE102004045131B4 (de) * | 2003-12-24 | 2006-08-03 | Yokogawa Electric Corporation, Musashino | Korrekturverfahren für die Lichtmengenverteilung in einem Biochip-Leser und Biochip-Leser |
US7666663B2 (en) | 2003-12-24 | 2010-02-23 | Yokogawa Electric Corporation | Correction method for the distribution of quantity of light and biochip-reader |
US7910357B2 (en) | 2003-12-24 | 2011-03-22 | Yokogawa Electric Corporation | Correction method for the distribution of quantity of light and biochip-reader |
US10323274B2 (en) | 2011-09-30 | 2019-06-18 | Life Technologies Corporation | Systems and methods for biological analysis |
US11339425B2 (en) | 2011-09-30 | 2022-05-24 | Life Technologies Corporation | Systems and methods for biological analysis |
Also Published As
Publication number | Publication date |
---|---|
AU2003261818A1 (en) | 2004-03-29 |
JP2004101354A (ja) | 2004-04-02 |
EP1548423A1 (en) | 2005-06-29 |
JP3908135B2 (ja) | 2007-04-25 |
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