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Extracting Biomedically Important Information from Large, Automated Imaging Experiments



Extracting Biomedically Important Information from Large, Automated Imaging Experiments



Proceedings. IEEE International Symposium on Biomedical Imaging 2011: 1723-1726



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.

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Accession: 053169060

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PMID: 24525841

DOI: 10.1109/ISBI.2011.5872737



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