Extracting biomedically important information from large, automated imaging experiments

Author

Carpenter, Anne E.

Author_Institution

Broad Inst. of Harvard, MIT, Cambridge, MA, USA

fYear

2011

fDate

March 30 2011-April 2 2011

Firstpage

1723

Lastpage

1726

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;

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.2011.5872737

Filename

5872737