WO2003102210A3 - Techniques for automated diagnosis of cell-borne anomalies with a digital optical microscope - Google Patents

Techniques for automated diagnosis of cell-borne anomalies with a digital optical microscope Download PDF

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Publication number
WO2003102210A3
WO2003102210A3 PCT/US2003/016692 US0316692W WO03102210A3 WO 2003102210 A3 WO2003102210 A3 WO 2003102210A3 US 0316692 W US0316692 W US 0316692W WO 03102210 A3 WO03102210 A3 WO 03102210A3
Authority
WO
WIPO (PCT)
Prior art keywords
cell
anomalous
techniques
digital image
data
Prior art date
Application number
PCT/US2003/016692
Other languages
French (fr)
Other versions
WO2003102210A2 (en
Inventor
Jeffrey S Lin
Andrew B Feldman
Plamen A Demirev
Peter F Scholl
Sean P Murhy
Original Assignee
Univ Johns Hopkins
Jeffrey S Lin
Andrew B Feldman
Plamen A Demirev
Peter F Scholl
Sean P Murhy
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 Univ Johns Hopkins, Jeffrey S Lin, Andrew B Feldman, Plamen A Demirev, Peter F Scholl, Sean P Murhy filed Critical Univ Johns Hopkins
Priority to AU2003253614A priority Critical patent/AU2003253614A1/en
Priority to US10/477,648 priority patent/US20040241677A1/en
Publication of WO2003102210A2 publication Critical patent/WO2003102210A2/en
Publication of WO2003102210A3 publication Critical patent/WO2003102210A3/en

Links

Classifications

    • G01N15/1433—
    • 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
    • G01N2015/1006—Investigating individual particles for cytology
    • 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—Electro-optical investigation, e.g. flow cytometers
    • G01N2015/1486—Counting the particles
    • 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—Electro-optical investigation, e.g. flow cytometers
    • G01N2015/1493—Particle size
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A50/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather
    • Y02A50/30—Against vector-borne diseases, e.g. mosquito-borne, fly-borne, tick-borne or waterborne diseases whose impact is exacerbated by climate change

Abstract

Techniques for automatically analyzing a biological sample with a microscope include obtaining a first digital image of a first field of view of the biological sample. Cell data and anomalous data are automatically determined. Cell data indicates an area co-located in the first digital image with a cell set of one or more cells of a particular type. Anomalous data indicates an area co-located in the first digital image with an anomalous set of zero or more particular objects that are anomalous to normal cells of the particular type. The cell data and the anomalous data are automatically combined to determine the particular objects inside the cell set in the first digital image. An analytical result for the biological sample is generated based on the particular objects inside the cell set. These techniques allow the automated classification and quantification of malaria in microscope views of blood smears, among other diseases.
PCT/US2003/016692 2002-05-30 2003-05-29 Techniques for automated diagnosis of cell-borne anomalies with a digital optical microscope WO2003102210A2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
AU2003253614A AU2003253614A1 (en) 2002-05-30 2003-05-29 Techniques for automated diagnosis of cell-borne anomalies with a digital optical microscope
US10/477,648 US20040241677A1 (en) 2003-05-29 2003-05-29 Techniques for automated diagnosis of cell-borne anomalies with digital optical microscope

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US38432302P 2002-05-30 2002-05-30
US60/384,323 2002-05-30

Publications (2)

Publication Number Publication Date
WO2003102210A2 WO2003102210A2 (en) 2003-12-11
WO2003102210A3 true WO2003102210A3 (en) 2004-04-08

Family

ID=29712009

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2003/016692 WO2003102210A2 (en) 2002-05-30 2003-05-29 Techniques for automated diagnosis of cell-borne anomalies with a digital optical microscope

Country Status (2)

Country Link
AU (1) AU2003253614A1 (en)
WO (1) WO2003102210A2 (en)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7632686B2 (en) 2002-10-03 2009-12-15 Anderson Forschung Group High sensitivity quantitation of peptides by mass spectrometry
WO2005121863A1 (en) * 2004-06-11 2005-12-22 Nicholas Etienne Ross Automated diagnosis of malaria and other infections
BRPI0605465B8 (en) * 2006-11-30 2021-07-27 Univ Estadual Campinas Unicamp system for diagnosing intestinal parasites by computerized image analysis
WO2011151820A2 (en) * 2010-06-01 2011-12-08 Vbact Ltd. Method and system for the detection of biological objects
DE102010063965A1 (en) 2010-12-22 2012-06-28 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Apparatus and method for determining objects of a color photograph
WO2020010634A1 (en) * 2018-07-13 2020-01-16 深圳迈瑞生物医疗电子股份有限公司 Cell image processing system and method, automatic smear reading device, and storage medium
CN116046647B (en) * 2023-01-28 2023-06-09 深圳安侣医学科技有限公司 Blood imaging analysis system and method

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4700298A (en) * 1984-09-14 1987-10-13 Branko Palcic Dynamic microscope image processing scanner
US4845552A (en) * 1987-08-20 1989-07-04 Bruno Jaggi Quantitative light microscope using a solid state detector in the primary image plane
US5134662A (en) * 1985-11-04 1992-07-28 Cell Analysis Systems, Inc. Dual color camera microscope and methodology for cell staining and analysis
US5187749A (en) * 1990-04-10 1993-02-16 Olympus Optical Co., Ltd. Virus infection examination apparatus having automatic determination function and method therefor
US5480804A (en) * 1989-06-28 1996-01-02 Kirin Beverage Corporation Method of and apparatus for detecting microorganisms
US6005964A (en) * 1996-01-24 1999-12-21 The Board Of Trustees Of The University Of Illinois Automatic machine vision microscope slide inspection system and method
US6122396A (en) * 1996-12-16 2000-09-19 Bio-Tech Imaging, Inc. Method of and apparatus for automating detection of microorganisms

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4700298A (en) * 1984-09-14 1987-10-13 Branko Palcic Dynamic microscope image processing scanner
US5134662A (en) * 1985-11-04 1992-07-28 Cell Analysis Systems, Inc. Dual color camera microscope and methodology for cell staining and analysis
US4845552A (en) * 1987-08-20 1989-07-04 Bruno Jaggi Quantitative light microscope using a solid state detector in the primary image plane
US5480804A (en) * 1989-06-28 1996-01-02 Kirin Beverage Corporation Method of and apparatus for detecting microorganisms
US5187749A (en) * 1990-04-10 1993-02-16 Olympus Optical Co., Ltd. Virus infection examination apparatus having automatic determination function and method therefor
US6005964A (en) * 1996-01-24 1999-12-21 The Board Of Trustees Of The University Of Illinois Automatic machine vision microscope slide inspection system and method
US6122396A (en) * 1996-12-16 2000-09-19 Bio-Tech Imaging, Inc. Method of and apparatus for automating detection of microorganisms

Also Published As

Publication number Publication date
AU2003253614A1 (en) 2003-12-19
AU2003253614A8 (en) 2003-12-19
WO2003102210A2 (en) 2003-12-11

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