WO2022241245A3 - Techniques for spore separation, detection, and quantification - Google Patents

Techniques for spore separation, detection, and quantification Download PDF

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Publication number
WO2022241245A3
WO2022241245A3 PCT/US2022/029239 US2022029239W WO2022241245A3 WO 2022241245 A3 WO2022241245 A3 WO 2022241245A3 US 2022029239 W US2022029239 W US 2022029239W WO 2022241245 A3 WO2022241245 A3 WO 2022241245A3
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WO
WIPO (PCT)
Prior art keywords
type
microbes
image
quantification
techniques
Prior art date
Application number
PCT/US2022/029239
Other languages
French (fr)
Other versions
WO2022241245A2 (en
Inventor
Monika WEBER
David FRAEBEL
Robert Weber
Slawomir ANTOSZCZYK
Original Assignee
Fluid-Screen, 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
Application filed by Fluid-Screen, Inc. filed Critical Fluid-Screen, Inc.
Publication of WO2022241245A2 publication Critical patent/WO2022241245A2/en
Publication of WO2022241245A3 publication Critical patent/WO2022241245A3/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/69Microscopic objects, e.g. biological cells or cellular parts
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10056Microscopic image
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30024Cell structures in vitro; Tissue sections in vitro

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Quality & Reliability (AREA)
  • Radiology & Medical Imaging (AREA)
  • Medical Informatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Multimedia (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)

Abstract

Systems and methods distinguishing microbes in an image are provided. The image including first microbes of a first type and second microbes of a second type different from the first type. The method comprises segmenting the image to detect the first microbes and the second microbes in the image, classifying each microbe in the segmented image as being of the first type or the second type, wherein the classification is based, at least in part, on at least one characteristic of microbe, and outputting a result of the classifying the microbe as being of the first type or the second type.
PCT/US2022/029239 2021-05-13 2022-05-13 Techniques for spore separation, detection, and quantification WO2022241245A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202163188279P 2021-05-13 2021-05-13
US63/188,279 2021-05-13

Publications (2)

Publication Number Publication Date
WO2022241245A2 WO2022241245A2 (en) 2022-11-17
WO2022241245A3 true WO2022241245A3 (en) 2023-01-12

Family

ID=84029867

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2022/029239 WO2022241245A2 (en) 2021-05-13 2022-05-13 Techniques for spore separation, detection, and quantification

Country Status (1)

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WO (1) WO2022241245A2 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116821698B (en) * 2023-08-31 2024-01-05 中国科学技术大学 Wheat scab spore detection method based on semi-supervised learning

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8398839B1 (en) * 2009-06-05 2013-03-19 Sandia Corporation System for particle concentration and detection
US20130109051A1 (en) * 2010-06-23 2013-05-02 Kabushiki Kaisha N-Tech Method for detecting microorganisms, device for detecting microorganisms and program
US20180129864A1 (en) * 2015-04-21 2018-05-10 Purdue Research Foundation Culture imaging system
WO2020142274A1 (en) * 2018-12-31 2020-07-09 Beckman Coulter, Inc. Antimicrobic susceptibility testing using machine learning
US20200239928A1 (en) * 2017-07-12 2020-07-30 Ecolab Usa Inc. A method for the rapid detection of bacterial spores in an industrial process

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8398839B1 (en) * 2009-06-05 2013-03-19 Sandia Corporation System for particle concentration and detection
US20130109051A1 (en) * 2010-06-23 2013-05-02 Kabushiki Kaisha N-Tech Method for detecting microorganisms, device for detecting microorganisms and program
US20180129864A1 (en) * 2015-04-21 2018-05-10 Purdue Research Foundation Culture imaging system
US20200239928A1 (en) * 2017-07-12 2020-07-30 Ecolab Usa Inc. A method for the rapid detection of bacterial spores in an industrial process
WO2020142274A1 (en) * 2018-12-31 2020-07-09 Beckman Coulter, Inc. Antimicrobic susceptibility testing using machine learning

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Publication number Publication date
WO2022241245A2 (en) 2022-11-17

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