IL300002A - Techniques for analyzing and detecting executional artifacts in microwell plates - Google Patents

Techniques for analyzing and detecting executional artifacts in microwell plates

Info

Publication number
IL300002A
IL300002A IL300002A IL30000223A IL300002A IL 300002 A IL300002 A IL 300002A IL 300002 A IL300002 A IL 300002A IL 30000223 A IL30000223 A IL 30000223A IL 300002 A IL300002 A IL 300002A
Authority
IL
Israel
Prior art keywords
executional
artifacts
analyzing
techniques
detecting
Prior art date
Application number
IL300002A
Other languages
Hebrew (he)
Original Assignee
Recursion Pharmaceuticals Inc
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Priority claimed from US16/940,325 external-priority patent/US20220027795A1/en
Priority claimed from US16/940,320 external-priority patent/US11361438B2/en
Application filed by Recursion Pharmaceuticals Inc filed Critical Recursion Pharmaceuticals Inc
Publication of IL300002A publication Critical patent/IL300002A/en

Links

Classifications

    • 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
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/42—Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation
    • G06V10/431—Frequency domain transformation; Autocorrelation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/52—Scale-space analysis, e.g. wavelet analysis
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06V10/7753—Incorporation of unlabelled data, e.g. multiple instance learning [MIL]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/80—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
    • G06V10/806—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of extracted features
    • 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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • 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
    • G06T2207/30072—Microarray; Biochip, DNA array; Well plate

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Databases & Information Systems (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Quality & Reliability (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Apparatus Associated With Microorganisms And Enzymes (AREA)
  • Image Analysis (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
IL300002A 2020-07-27 2021-07-19 Techniques for analyzing and detecting executional artifacts in microwell plates IL300002A (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US16/940,325 US20220027795A1 (en) 2020-07-27 2020-07-27 Techniques for training a classifier to detect executional artifacts in microwell plates
US16/940,320 US11361438B2 (en) 2020-07-27 2020-07-27 Techniques for analyzing and detecting executional artifacts in microwell plates
PCT/US2021/042139 WO2022026226A1 (en) 2020-07-27 2021-07-19 Techniques for analyzing and detecting executional artifacts in microwell plates

Publications (1)

Publication Number Publication Date
IL300002A true IL300002A (en) 2023-03-01

Family

ID=80036051

Family Applications (1)

Application Number Title Priority Date Filing Date
IL300002A IL300002A (en) 2020-07-27 2021-07-19 Techniques for analyzing and detecting executional artifacts in microwell plates

Country Status (7)

Country Link
EP (1) EP4189641A4 (en)
JP (1) JP7496470B2 (en)
CN (1) CN116210032A (en)
AU (1) AU2021316176B2 (en)
CA (1) CA3186058A1 (en)
IL (1) IL300002A (en)
WO (1) WO2022026226A1 (en)

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7711174B2 (en) * 2004-05-13 2010-05-04 The Charles Stark Draper Laboratory, Inc. Methods and systems for imaging cells
WO2010057081A1 (en) * 2008-11-14 2010-05-20 The Scripps Research Institute Image analysis platform for identifying artifacts in samples and laboratory consumables
EP2888349B1 (en) 2012-08-24 2022-02-09 Yale University System, device and method for high-throughput multi-plexed detection
US20190347571A1 (en) * 2017-02-03 2019-11-14 Koninklijke Philips N.V. Classifier training
JP2018142097A (en) 2017-02-27 2018-09-13 キヤノン株式会社 Information processing device, information processing method, and program
US11736363B2 (en) * 2018-11-30 2023-08-22 Disney Enterprises, Inc. Techniques for analyzing a network and increasing network availability
DE102018133196A1 (en) * 2018-12-20 2020-06-25 Carl Zeiss Microscopy Gmbh IMAGE-BASED MAINTENANCE PROPERTY AND MISUSE DETECTION

Also Published As

Publication number Publication date
AU2021316176A1 (en) 2023-02-23
JP2023536695A (en) 2023-08-29
EP4189641A1 (en) 2023-06-07
CN116210032A (en) 2023-06-02
AU2021316176B2 (en) 2023-10-19
EP4189641A4 (en) 2024-07-03
WO2022026226A1 (en) 2022-02-03
JP7496470B2 (en) 2024-06-06
CA3186058A1 (en) 2022-02-03

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