DocumentCode
3511292
Title
Methods and algorithms for extracting high-content signatures from cells, tissues, and model organisms
Author
Rittscher, J. ; Padfield, D. ; Santamaria, A. ; Tu, J. ; Can, A. ; Bello, M. ; Gao, D. ; Sood, A. ; Gerdes, M. ; Ginty, F.
Author_Institution
GE Global Res., Niskayuna, NY, USA
fYear
2011
fDate
March 30 2011-April 2 2011
Firstpage
1712
Lastpage
1716
Abstract
While high-content screening is already playing an important role in drug discovery, a growing number of academic laboratories are applying these techniques to conduct a system-level analysis of biological processes. In this context more complex assays and model systems are being imaged at higher throughput. Examples include co-culture assays, tissues, and entire model systems, as for example zebrafish. This summary presents examples of methods and algorithms that have been developed at GE Global Research that facilitate the quantitative analysis of such complex specimens.
Keywords
biological specimen preparation; biological tissues; biology computing; cellular biophysics; feature extraction; fluorescence; image segmentation; optical microscopy; zoology; cell culture assays; cell tracking; complex assays; feature extraction; fluorescence microscopy; image segmentation; tissues; zebrafish; Algorithm design and analysis; Biomedical imaging; Image analysis; Image segmentation; Microscopy; Proteins; High-content screening; cell tracking; fluorescence microscopy; segmentation; tissue quality; zebrafish;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on
Conference_Location
Chicago, IL
ISSN
1945-7928
Print_ISBN
978-1-4244-4127-3
Electronic_ISBN
1945-7928
Type
conf
DOI
10.1109/ISBI.2011.5872734
Filename
5872734
Link To Document