ATE434799T1 - DEVICE AND METHOD FOR IMAGING USING A MULTINEURAL NETWORK - Google Patents

DEVICE AND METHOD FOR IMAGING USING A MULTINEURAL NETWORK

Info

Publication number
ATE434799T1
ATE434799T1 AT01930796T AT01930796T ATE434799T1 AT E434799 T1 ATE434799 T1 AT E434799T1 AT 01930796 T AT01930796 T AT 01930796T AT 01930796 T AT01930796 T AT 01930796T AT E434799 T1 ATE434799 T1 AT E434799T1
Authority
AT
Austria
Prior art keywords
particle
classification
multineural
imaging
network
Prior art date
Application number
AT01930796T
Other languages
German (de)
Inventor
Harvey Kasdan
Michael Ashe
Minn Chung
Original Assignee
Int Remote Imaging Systems 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 Int Remote Imaging Systems Inc filed Critical Int Remote Imaging Systems Inc
Priority claimed from PCT/US2001/013451 external-priority patent/WO2001082216A1/en
Priority claimed from US09/841,941 external-priority patent/US6947586B2/en
Application granted granted Critical
Publication of ATE434799T1 publication Critical patent/ATE434799T1/en

Links

Classifications

    • 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
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
    • 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
    • G01N15/01—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials specially adapted for biological cells, e.g. blood cells
    • G01N2015/016—White blood cells
    • 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
    • G01N2015/1488—Methods for deciding

Landscapes

  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Dispersion Chemistry (AREA)
  • Pathology (AREA)
  • Theoretical Computer Science (AREA)
  • Signal Processing (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • Immunology (AREA)
  • Multimedia (AREA)
  • Image Analysis (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Image Processing (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Apparatus Associated With Microorganisms And Enzymes (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Closed-Circuit Television Systems (AREA)

Abstract

A multi-neural net imaging apparatus (2) and method for classification of image elements, such as biological particles. The multi-net structure utilizes subgroups of particle features to partition the decision space by an attribute or physical characteristic of the particle and/or by individual and group particle classification that includes an unknown category. Preprocessing (6) classifies particles as artifacts based on certain physical characteristics. Post processing (6) enables the use of contextual information either available from other sources or gleaned from the actual decision making process to further process the probability factors and enhance the decisions.
AT01930796T 2000-04-24 2001-04-24 DEVICE AND METHOD FOR IMAGING USING A MULTINEURAL NETWORK ATE434799T1 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US19923700P 2000-04-24 2000-04-24
PCT/US2001/013451 WO2001082216A1 (en) 2000-04-24 2001-04-24 Multi-neural net imaging apparatus and method
US09/841,941 US6947586B2 (en) 2000-04-24 2001-04-24 Multi-neural net imaging apparatus and method

Publications (1)

Publication Number Publication Date
ATE434799T1 true ATE434799T1 (en) 2009-07-15

Family

ID=46149960

Family Applications (1)

Application Number Title Priority Date Filing Date
AT01930796T ATE434799T1 (en) 2000-04-24 2001-04-24 DEVICE AND METHOD FOR IMAGING USING A MULTINEURAL NETWORK

Country Status (6)

Country Link
JP (1) JP4945045B2 (en)
AT (1) ATE434799T1 (en)
AU (1) AU2001257299A1 (en)
CA (1) CA2377602C (en)
DK (1) DK1301894T3 (en)
ES (1) ES2328450T3 (en)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB0218909D0 (en) * 2002-08-15 2002-09-25 Qinetiq Ltd Histological assessment
JP5321145B2 (en) * 2009-03-04 2013-10-23 日本電気株式会社 Image diagnosis support apparatus, image diagnosis support method, image diagnosis support program, and storage medium thereof
ES2388169B1 (en) * 2010-02-25 2013-08-19 Universidad De León ARTIFICIAL VISION PROCEDURE FOR THE DETECTION OF DISTAL CYTOPLASMATIC DROPS IN ESPERMATOZOIDS.
JP6092132B2 (en) * 2014-01-29 2017-03-08 シスメックス株式会社 Blood cell analyzer
EP3500964A1 (en) * 2016-08-22 2019-06-26 Iris International, Inc. System and method of classification of biological particles
WO2019241471A1 (en) * 2018-06-13 2019-12-19 Klaris Corporation Compositions and methods for cellular phenotype assessment of a sample using confined volume arrays
US20210349007A1 (en) * 2018-09-27 2021-11-11 Horiba, Ltd. Method for generating data for particle analysis, program for generating data for particle analysis, and device for generating data for particle analysis

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH03131756A (en) * 1989-10-18 1991-06-05 Hitachi Ltd Automatic classifying device for blood cell
JPH07286954A (en) * 1994-04-19 1995-10-31 Hitachi Ltd Cell automatic classification device
JP3050046B2 (en) * 1994-07-18 2000-06-05 株式会社日立製作所 Automatic particle classification system
JPH0991430A (en) * 1995-09-27 1997-04-04 Hitachi Ltd Pattern recognition device
JPH10302067A (en) * 1997-04-23 1998-11-13 Hitachi Ltd Pattern recognition device
JPH11132984A (en) * 1997-10-24 1999-05-21 Fuji Electric Co Ltd Method for manufacturing detection element for gas sensor
JPH11132932A (en) * 1997-10-29 1999-05-21 Hitachi Ltd System for classifying particle image on organism and method for reclassifying particle

Also Published As

Publication number Publication date
JP4945045B2 (en) 2012-06-06
DK1301894T3 (en) 2009-08-24
ES2328450T3 (en) 2009-11-13
JP2004505233A (en) 2004-02-19
AU2001257299A1 (en) 2001-11-07
CA2377602C (en) 2012-04-10
CA2377602A1 (en) 2001-11-01

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