JP2022528693A - アッセイ精度及び信頼性の向上 - Google Patents
アッセイ精度及び信頼性の向上 Download PDFInfo
- Publication number
- JP2022528693A JP2022528693A JP2021559273A JP2021559273A JP2022528693A JP 2022528693 A JP2022528693 A JP 2022528693A JP 2021559273 A JP2021559273 A JP 2021559273A JP 2021559273 A JP2021559273 A JP 2021559273A JP 2022528693 A JP2022528693 A JP 2022528693A
- Authority
- JP
- Japan
- Prior art keywords
- sample
- image
- assay
- card
- monitoring
- 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.)
- Pending
Links
Images
Classifications
-
- 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
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Optical investigation techniques, e.g. flow cytometry
- G01N15/1429—Signal processing
- G01N15/1433—Signal processing using image recognition
-
- 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
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/27—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands using photo-electric detection ; circuits for computing concentration
- G01N21/274—Calibration, base line adjustment, drift correction
-
- 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
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
-
- 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
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
-
- 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
- G01N21/65—Raman scattering
- G01N21/658—Raman scattering enhancement Raman, e.g. surface plasmons
-
- 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
- G01N21/75—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated
- G01N21/77—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator
-
- 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
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/0464—Convolutional networks [CNN, ConvNet]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/09—Supervised learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/40—Analysis of texture
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
-
- 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
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
- G01N2021/0106—General arrangement of respective parts
- G01N2021/0112—Apparatus in one mechanical, optical or electronic block
-
- 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
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10056—Microscopic image
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30024—Cell structures in vitro; Tissue sections in vitro
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30204—Marker
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Life Sciences & Earth Sciences (AREA)
- Software Systems (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Mathematical Physics (AREA)
- General Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Evolutionary Computation (AREA)
- Data Mining & Analysis (AREA)
- Artificial Intelligence (AREA)
- Medical Informatics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Signal Processing (AREA)
- Molecular Biology (AREA)
- Computational Linguistics (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- Radiology & Medical Imaging (AREA)
- Quality & Reliability (AREA)
- Geometry (AREA)
- Dispersion Chemistry (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Plasma & Fusion (AREA)
- Investigating Or Analysing Biological Materials (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Applications Claiming Priority (7)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201962830311P | 2019-04-05 | 2019-04-05 | |
| US62/830,311 | 2019-04-05 | ||
| USPCT/US2019/046971 | 2019-08-16 | ||
| PCT/US2019/046971 WO2020055543A1 (en) | 2018-08-16 | 2019-08-16 | Image-based assay using intelligent monitoring structures |
| PCT/US2019/048678 WO2020047177A1 (en) | 2018-08-28 | 2019-08-28 | Assay accuracy improvement |
| USPCT/US2019/048678 | 2019-08-28 | ||
| PCT/US2020/026959 WO2020206464A1 (en) | 2019-04-05 | 2020-04-06 | Assay accuracy and reliability improvement |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2022528693A true JP2022528693A (ja) | 2022-06-15 |
| JP2022528693A5 JP2022528693A5 (https=) | 2023-04-07 |
| JPWO2020206464A5 JPWO2020206464A5 (https=) | 2023-04-07 |
Family
ID=72667405
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2021559273A Pending JP2022528693A (ja) | 2019-04-05 | 2020-04-06 | アッセイ精度及び信頼性の向上 |
Country Status (5)
| Country | Link |
|---|---|
| US (3) | US11733151B2 (https=) |
| EP (1) | EP3948226A4 (https=) |
| JP (1) | JP2022528693A (https=) |
| CN (2) | CN114341619B (https=) |
| WO (1) | WO2020206464A1 (https=) |
Families Citing this family (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020202700A1 (ja) * | 2019-03-29 | 2020-10-08 | 富士フイルム株式会社 | 画像処理装置、画像処理装置の作動方法、および画像処理装置の作動プログラム |
| US11486550B2 (en) * | 2019-05-22 | 2022-11-01 | Nichia Corporation | Method for producing wavelength conversion sintered body |
| US11762283B2 (en) * | 2019-12-13 | 2023-09-19 | Synopsys, Inc. | Inverse lithography and machine learning for mask synthesis |
| LU101763B1 (en) * | 2020-05-04 | 2021-11-05 | Microsoft Technology Licensing Llc | Microsegment secure speech transcription |
| CN112307986B (zh) * | 2020-11-03 | 2022-02-08 | 华北电力大学 | 一种利用高斯梯度的负荷开关事件检测方法和系统 |
| CN114624164B (zh) * | 2020-12-14 | 2026-01-30 | 深圳迈瑞生物医疗电子股份有限公司 | 尿液有形成分分析系统及其方法 |
| CN112687381B (zh) * | 2020-12-25 | 2025-03-25 | 邦奇(河南)生物技术有限公司 | 一种医疗用院内感染监测系统 |
| CN114693531B (zh) * | 2020-12-28 | 2024-12-20 | 富泰华工业(深圳)有限公司 | 图像对比方法及相关设备 |
| WO2022204609A1 (en) * | 2021-03-26 | 2022-09-29 | Essenlix Corporation | Real-time monitoring and correction of imperfection in image-based assay |
| CN117043867B (zh) * | 2021-04-02 | 2025-11-28 | 因美纳有限公司 | 用于检测用于测序的核苷酸样品玻片内的气泡的机器学习模型 |
| US20250005942A1 (en) * | 2021-11-23 | 2025-01-02 | Trustees Of Tufts College | Detection and identification of defects using artificial intelligence analysis of multi-dimensional information data |
| CN115019077A (zh) * | 2022-08-09 | 2022-09-06 | 江苏思伽循环科技有限公司 | 一种废旧电池回收工艺中的摇床分选机识别及控制方法 |
| CN115661470B (zh) * | 2022-10-28 | 2026-04-21 | 军事科学院系统工程研究院卫勤保障技术研究所 | 一种基于三维卷积神经网络的彩色偏振图像的去噪方法 |
| CN116797646B (zh) * | 2023-03-13 | 2025-07-15 | 中铁二院工程集团有限责任公司 | 一种基于三维图像的危岩体体积计算方法 |
| US12591999B2 (en) | 2023-05-26 | 2026-03-31 | Schlumberger Technology Corporation | System, apparatus, and method for continuous digital image calibration |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000316120A (ja) * | 1999-03-03 | 2000-11-14 | Denso Corp | 全焦点撮像装置 |
| JP2001194368A (ja) * | 1999-12-17 | 2001-07-19 | Bayer Corp | 液体試料中の分析対象物の検定のための改良された試験片 |
| JP2002520617A (ja) * | 1998-07-14 | 2002-07-09 | コザート バイオサイエンス リミテッド | スクリーニングデバイスおよびイムノアッセイテストのスクリーニング法 |
| EP2196117A1 (de) * | 2008-12-10 | 2010-06-16 | Tchibo GmbH | Brühmaschine |
| US20160080548A1 (en) * | 2013-01-21 | 2016-03-17 | Cornell University | Smartphone-Based Apparatus and Method |
| WO2017178417A1 (en) * | 2016-04-15 | 2017-10-19 | University College Of Southeast Norway | On-diaper body fluid screening device |
| JP2018517209A (ja) * | 2015-05-28 | 2018-06-28 | トキタエ エルエルシー | 画像分析システムおよび関連する方法 |
| WO2018148471A2 (en) * | 2017-02-08 | 2018-08-16 | Essenlix Corporation | Optics, device, and system for assaying |
| JP2018529074A (ja) * | 2015-05-26 | 2018-10-04 | ベンタナ メディカル システムズ, インコーポレイテッド | イン・サイチュー・ハイブリダイゼーションおよび免疫組織化学のための染色品質評価方法およびシステム |
| JP2018529982A (ja) * | 2015-08-10 | 2018-10-11 | エッセンリックス コーポレーション | ステップが簡略化され、試料が少なく、スピードアップし、使いやすい、生化学的/化学的なアッセイ装置及び方法 |
| WO2019044424A1 (ja) * | 2017-08-29 | 2019-03-07 | 富士フイルム株式会社 | 撮影制御装置、方法およびプログラム |
Family Cites Families (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7657068B2 (en) * | 2003-02-05 | 2010-02-02 | Koninklijke Philips Electronics N.V. | Indication of accuracy of quantitative analysis |
| FR2894685A1 (fr) * | 2005-12-09 | 2007-06-15 | 6115187 Canada Inc | Procede et dispositif d'identification et de calibration d'optiques panoramiques |
| GB201105474D0 (en) * | 2011-03-31 | 2011-05-18 | Albagaia Ltd | Testing apparatus |
| EP2702392B1 (en) * | 2011-04-28 | 2019-10-30 | Koninklijke Philips N.V. | Evaluating assays with optical inhomogeneities |
| CN102393376A (zh) * | 2011-10-14 | 2012-03-28 | 上海海洋大学 | 基于支持向量回归的鱼丸多组分含量检测的近红外光谱法 |
| US9695981B2 (en) * | 2012-04-20 | 2017-07-04 | Honeywell International Inc. | Image recognition for personal protective equipment compliance enforcement in work areas |
| AU2013295679A1 (en) * | 2012-07-25 | 2015-01-29 | Theranos, Inc. | Image analysis and measurement of biological samples |
| CN104969068B (zh) * | 2012-08-08 | 2019-06-18 | 思勘度股份有限公司 | 用于在自动校准环境中执行及量化由特定浓度的生物分析物诱发的色彩改变的方法及设备 |
| US10466236B2 (en) * | 2013-03-29 | 2019-11-05 | Nima Labs, Inc. | System and method for detecting target substances |
| US20150185208A1 (en) * | 2013-10-11 | 2015-07-02 | Immunetics, Inc. | Led assay reader with touchscreen control and barcode sample id |
| CN106068449A (zh) * | 2014-03-05 | 2016-11-02 | 思勘度股份有限公司 | 通过量化和解释颜色的分析物浓度 |
| JP2016058465A (ja) * | 2014-09-08 | 2016-04-21 | 株式会社日立ハイテクノロジーズ | 欠陥定量化方法、欠陥定量化装置、および欠陥評価値表示装置 |
| EP3207499A4 (en) * | 2014-10-17 | 2018-09-19 | Cireca Theranostics, LLC | Methods and systems for classifying biological samples, including optimization of analyses and use of correlation |
| CN111426822B (zh) * | 2015-09-14 | 2022-12-13 | 艾森利克斯公司 | 采集分析蒸汽凝析,特别是呼出气凝析的装置与系统,以及使用方法 |
| US10628693B2 (en) * | 2016-12-21 | 2020-04-21 | Essenlix Corporation | Devices and methods for authenticating a sample and use of the same |
| CN106932359A (zh) * | 2017-03-02 | 2017-07-07 | 兰州大学 | 一种基于近红外光谱的苹果分类方法 |
| US10552663B2 (en) * | 2017-05-02 | 2020-02-04 | Techcyte, Inc. | Machine learning classification and training for digital microscopy cytology images |
| EP3622084A4 (en) * | 2017-05-08 | 2021-02-17 | Biological Dynamics, Inc. | METHODS AND SYSTEMS FOR PROCESSING ANALYTICAL INFORMATION |
| JP7455757B2 (ja) * | 2018-04-13 | 2024-03-26 | フリーノーム・ホールディングス・インコーポレイテッド | 生体試料の多検体アッセイのための機械学習実装 |
| CN113227754B (zh) * | 2018-08-16 | 2025-01-17 | 上海宜晟生物科技有限公司 | 使用智能监测结构的基于图像的测定 |
| WO2020047177A1 (en) * | 2018-08-28 | 2020-03-05 | Essenlix Corporation | Assay accuracy improvement |
-
2020
- 2020-04-06 CN CN202080041519.8A patent/CN114341619B/zh active Active
- 2020-04-06 CN CN202510464312.6A patent/CN120801199A/zh active Pending
- 2020-04-06 US US17/284,083 patent/US11733151B2/en active Active
- 2020-04-06 EP EP20784953.0A patent/EP3948226A4/en active Pending
- 2020-04-06 JP JP2021559273A patent/JP2022528693A/ja active Pending
- 2020-04-06 WO PCT/US2020/026959 patent/WO2020206464A1/en not_active Ceased
-
2023
- 2023-06-28 US US18/215,302 patent/US12007320B2/en active Active
-
2024
- 2024-06-10 US US18/739,128 patent/US20250116593A1/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002520617A (ja) * | 1998-07-14 | 2002-07-09 | コザート バイオサイエンス リミテッド | スクリーニングデバイスおよびイムノアッセイテストのスクリーニング法 |
| JP2000316120A (ja) * | 1999-03-03 | 2000-11-14 | Denso Corp | 全焦点撮像装置 |
| JP2001194368A (ja) * | 1999-12-17 | 2001-07-19 | Bayer Corp | 液体試料中の分析対象物の検定のための改良された試験片 |
| EP2196117A1 (de) * | 2008-12-10 | 2010-06-16 | Tchibo GmbH | Brühmaschine |
| US20160080548A1 (en) * | 2013-01-21 | 2016-03-17 | Cornell University | Smartphone-Based Apparatus and Method |
| JP2018529074A (ja) * | 2015-05-26 | 2018-10-04 | ベンタナ メディカル システムズ, インコーポレイテッド | イン・サイチュー・ハイブリダイゼーションおよび免疫組織化学のための染色品質評価方法およびシステム |
| JP2018517209A (ja) * | 2015-05-28 | 2018-06-28 | トキタエ エルエルシー | 画像分析システムおよび関連する方法 |
| JP2018529982A (ja) * | 2015-08-10 | 2018-10-11 | エッセンリックス コーポレーション | ステップが簡略化され、試料が少なく、スピードアップし、使いやすい、生化学的/化学的なアッセイ装置及び方法 |
| WO2017178417A1 (en) * | 2016-04-15 | 2017-10-19 | University College Of Southeast Norway | On-diaper body fluid screening device |
| WO2018148471A2 (en) * | 2017-02-08 | 2018-08-16 | Essenlix Corporation | Optics, device, and system for assaying |
| WO2019044424A1 (ja) * | 2017-08-29 | 2019-03-07 | 富士フイルム株式会社 | 撮影制御装置、方法およびプログラム |
Also Published As
| Publication number | Publication date |
|---|---|
| US20210312621A1 (en) | 2021-10-07 |
| US20250116593A1 (en) | 2025-04-10 |
| US20230341315A1 (en) | 2023-10-26 |
| CN114341619B (zh) | 2025-04-11 |
| CN114341619A (zh) | 2022-04-12 |
| CN120801199A (zh) | 2025-10-17 |
| US12007320B2 (en) | 2024-06-11 |
| WO2020206464A1 (en) | 2020-10-08 |
| EP3948226A1 (en) | 2022-02-09 |
| US11733151B2 (en) | 2023-08-22 |
| EP3948226A4 (en) | 2023-09-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US12007320B2 (en) | Assay detection, accuracy and reliability improvement | |
| US20230324278A1 (en) | Assay accuracy improvement | |
| US20240035954A1 (en) | Image-Based Assay Performance Improvement | |
| CN113227754B (zh) | 使用智能监测结构的基于图像的测定 | |
| DK2973397T3 (en) | Tissue-object-based machine learning system for automated assessment of digital whole-slide glass | |
| CN104094118B (zh) | 通过显微图像自动识别全血样品中血小板的方法和设备 | |
| US20230408534A1 (en) | Assay Error Reduction | |
| JP6594294B2 (ja) | 顕微鏡画像の画像品質評価 | |
| JP6986083B2 (ja) | レンズレス撮像によるサンプル内の粒子の計数方法 | |
| JP7282894B2 (ja) | 粒子定量装置 | |
| CN114152557B (zh) | 基于图像分析的血细胞计数方法和系统 | |
| TWI755755B (zh) | 用於測試生物樣本的裝置 | |
| JP2026512395A (ja) | 血液塗抹物の単層の検出 | |
| WO2026029981A1 (en) | Deep learning-based automated quality control tool for identifying out-of-focus regions in microscopic imaging |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20230329 |
|
| A621 | Written request for application examination |
Free format text: JAPANESE INTERMEDIATE CODE: A621 Effective date: 20230329 |
|
| RD04 | Notification of resignation of power of attorney |
Free format text: JAPANESE INTERMEDIATE CODE: A7424 Effective date: 20230620 |
|
| A977 | Report on retrieval |
Free format text: JAPANESE INTERMEDIATE CODE: A971007 Effective date: 20240116 |
|
| RD04 | Notification of resignation of power of attorney |
Free format text: JAPANESE INTERMEDIATE CODE: A7424 Effective date: 20240208 |
|
| A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20240528 |
|
| A02 | Decision of refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A02 Effective date: 20241203 |