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 :
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