[go: up one dir, main page]

HK1029170B - 採用多量成像手段的物體識別 - Google Patents

採用多量成像手段的物體識別 Download PDF

Info

Publication number
HK1029170B
HK1029170B HK00105518.2A HK00105518A HK1029170B HK 1029170 B HK1029170 B HK 1029170B HK 00105518 A HK00105518 A HK 00105518A HK 1029170 B HK1029170 B HK 1029170B
Authority
HK
Hong Kong
Prior art keywords
images
image
regions
cytoplasm
features
Prior art date
Application number
HK00105518.2A
Other languages
German (de)
English (en)
French (fr)
Other versions
HK1029170A1 (zh
Inventor
Ilya Ravkin
Original Assignee
Leica Biosystems Imaging 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 US09/072,502 external-priority patent/US6169816B1/en
Application filed by Leica Biosystems Imaging Inc. filed Critical Leica Biosystems Imaging Inc.
Publication of HK1029170A1 publication Critical patent/HK1029170A1/zh
Publication of HK1029170B publication Critical patent/HK1029170B/zh

Links

HK00105518.2A 1997-05-14 1998-05-12 採用多量成像手段的物體識別 HK1029170B (zh)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US4647097P 1997-05-14 1997-05-14
US46470P 1997-05-14
US72502 1998-05-04
US09/072,502 US6169816B1 (en) 1997-05-14 1998-05-04 Identification of objects of interest using multiple illumination schemes and finding overlap of features in corresponding multiple images
PCT/US1998/009689 WO1998052018A1 (en) 1997-05-14 1998-05-12 Identification of objects by means of multiple imaging

Publications (2)

Publication Number Publication Date
HK1029170A1 HK1029170A1 (zh) 2001-03-23
HK1029170B true HK1029170B (zh) 2006-11-10

Family

ID=

Similar Documents

Publication Publication Date Title
EP0981732B1 (en) Identification of objects by means of multiple imaging
US6633662B2 (en) Identification of objects of interest using multiple illumination schemes and finding overlap of features in corresponding multiple images
Kozubek et al. High‐resolution cytometry of FISH dots in interphase cell nuclei
US7945391B2 (en) Method and apparatus for computer controlled rare cell, including fetal cell, based diagnosis
US5764792A (en) Method and apparatus for processing images
US8548219B2 (en) Detection of circulating tumor cells using imaging flow cytometry
US7634125B2 (en) Blood and cell analysis using an imaging flow cytometer
US20070020697A1 (en) Virtual flow cytometry on immunostained tissue-tissue cytometer
WO1996009600A1 (en) Apparatus for identification and integration of multiple cell patterns
AU2003270687A1 (en) Interactive and automated tissue image analysis with global training database and variable-abstraction processing in cytological specimen classification and laser capture microdissection applications
US20080206774A1 (en) Automated cancer diagnostic methods using fish
JP2008518587A (ja) 多細胞下成分の検出及び定量法
Ravkin et al. Automated microscopy system for detection and genetic characterization of fetal nucleated red blood cells on slides
HK1029170B (zh) 採用多量成像手段的物體識別
Tarnok et al. Multicolor immunophenotyping of tissue sections by Laser Scanning Cytometry (LSC)
Ravkin et al. Automatic counting of FISH spots in interphase cells for prenatal characterization of aneuploidies
Plesch et al. Metaeer í a Novel Ultra High Throughput Scanning System eor Rare Cell Detection and Automatic Interphase FISH Scoring
Zhong et al. AUTOMATED BONE MARROW RETICULIN FIBROSIS DETERMINATION-“AUTORETIC” METHOD