Title :
Extracting biomedically important information from large, automated imaging experiments
Author :
Carpenter, Anne E.
Author_Institution :
Broad Inst. of Harvard, MIT, Cambridge, MA, USA
fDate :
March 30 2011-April 2 2011
Abstract :
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.
Keywords :
biomedical optical imaging; cellular biophysics; image segmentation; medical image processing; medical information systems; microorganisms; optical microscopy; automated imaging experiments; biomedically important information; complex phenotypic changes; high-throughput microscopy experiments; segmenting cells; segmenting neurons; time-lapse imaging; tracking cells; whole organisms; Algorithm design and analysis; Biomedical imaging; Grippers; Microscopy; Organisms; C. elegans; co-cultures; fluorescence microscopy; high-throughput; screening;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-4127-3
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2011.5872737
