AU2001257299A1 - Multi-neural net imaging apparatus and method - Google Patents

Multi-neural net imaging apparatus and method

Info

Publication number
AU2001257299A1
AU2001257299A1 AU2001257299A AU5729901A AU2001257299A1 AU 2001257299 A1 AU2001257299 A1 AU 2001257299A1 AU 2001257299 A AU2001257299 A AU 2001257299A AU 5729901 A AU5729901 A AU 5729901A AU 2001257299 A1 AU2001257299 A1 AU 2001257299A1
Authority
AU
Australia
Prior art keywords
particle
imaging apparatus
neural net
classification
net imaging
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.)
Abandoned
Application number
AU2001257299A
Inventor
Michael R. Ashe
Minn Chung
Harvey L. Kasdan
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Iris International Inc
Original Assignee
International 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 International Remote Imaging Systems Inc filed Critical International 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
Publication of AU2001257299A1 publication Critical patent/AU2001257299A1/en
Abandoned legal-status Critical Current

Links

Classifications

    • G01N15/1433—
    • 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
    • G01N2015/016—
    • 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
    • G01N2015/1488—Methods for deciding

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.
AU2001257299A 2000-04-24 2001-04-24 Multi-neural net imaging apparatus and method Abandoned AU2001257299A1 (en)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US19923700P 2000-04-24 2000-04-24
US60/199,237 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
AU2001257299A1 true AU2001257299A1 (en) 2001-11-07

Family

ID=46149960

Family Applications (1)

Application Number Title Priority Date Filing Date
AU2001257299A Abandoned AU2001257299A1 (en) 2000-04-24 2001-04-24 Multi-neural net imaging apparatus and method

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 (6)

* 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
CN109952614B (en) 2016-08-22 2023-11-10 艾瑞斯国际有限公司 Biological particle classification system and method
JPWO2020066209A1 (en) * 2018-09-27 2021-09-09 株式会社堀場製作所 Particle analysis data generation method, particle analysis data generation program, and particle analysis data generation device

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
CA2377602C (en) 2012-04-10
DK1301894T3 (en) 2009-08-24
JP2004505233A (en) 2004-02-19
ES2328450T3 (en) 2009-11-13
ATE434799T1 (en) 2009-07-15
CA2377602A1 (en) 2001-11-01

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