Extracting biomedically important information from large, automated imaging experiments

Major challenges remain in the extraction of rich information from high-throughput microscopy experiments. In this paper, I describe some of these challenges, particularly those that are the subject of ongoing research in my laboratory. The challenges include segmenting neurons, co-cultures of diffe...

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Bibliographic Details
Published in2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro pp. 1723 - 1726
Main Author Carpenter, A E
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 01.01.2011
Subjects
Algorithm design and analysis
Biomedical imaging
C. elegans
co-cultures
fluorescence microscopy
Grippers
high-throughput
Microscopy
Organisms
screening
C. elegans
screening
co-cultures
fluorescence microscopy
high-throughput
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Summary:Major challenges remain in the extraction of rich information from high-throughput microscopy experiments. In this paper, I describe some of these challenges, particularly those that are the subject of ongoing research in my laboratory. The challenges include segmenting neurons, co-cultures of different cell types, and whole organisms; segmenting and tracking cells in time-lapse images; quantifying complex phenotypic changes; and discovering biologically relevant subpopulations of cells.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISBN:1424441277
9781424441273
ISSN:1945-7928
1945-8452
DOI:10.1109/ISBI.2011.5872737