DocumentCode :
2570165
Title :
Automating the quantification of membrane proteins under confocal microscopy
Author :
Vallotton, Pascal ; Payne, Matthew ; Bednarz, Tomasz ; Domanski, Luke ; James, David ; Hughes, Will ; Sun, Changming
fYear :
2012
fDate :
2-5 May 2012
Firstpage :
776
Lastpage :
779
Abstract :
In a prior contribution, we described a semi-automated system that allowed a user to quantify the relative abundance of fluorescently labeled membrane proteins in confocal microscopy images. Here, we describe a step change in assay automation, enabled by explicitly casting the problem in terms of mathematical graphs. This permitted to include extensive and relevant image information in the tracing process; something not possible when using the marginally faster traditional algorithms. These improvements bring us closer to an industrial strength membrane tracing assay suitable in a drug discovery and development environment.
Keywords :
biochemistry; biological techniques; biomembranes; cellular transport; molecular biophysics; optical microscopy; proteins; assay automation; casting; confocal microscopy imaging; development environment; drug discovery; fluorescently labeled membrane proteins; industrial strength membrane tracing assay; marginally faster traditional algorithms; mathematical graphs; membrane protein quantification; semiautomated system; tracing processing; Algorithm design and analysis; Biomembranes; Drugs; Fluorescence; Microscopy; Proteins; Sun; Dijkstra; Membrane tracing; circular shortest paths; high content analysis; high content screening; shortest paths;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on
Conference_Location :
Barcelona
ISSN :
1945-7928
Print_ISBN :
978-1-4577-1857-1
Type :
conf
DOI :
10.1109/ISBI.2012.6235663
Filename :
6235663
Link To Document :
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