David A Guertin
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
David A Guertin has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
- Anne E. Carpenter
Imaging Platform, Broad Institute of MIT and Harvard, Cambridge, USA
1 shared publication - Colin Clarke
Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA
1 shared publication - David M. Sabatini
Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Prague, Czech Republic
1 shared publication - In Han Kang
Computer Sciences and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
1 shared publication - Jason Moffat
Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
1 shared publication - Joo Han Chang
Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA
1 shared publication
Latest Publications
- Top Cited PapersOpen Access
- 1 April 2006
- Published by Springer Nature in Genome Biology
- Vol. 7 (10) , R100
CellProfiler: image analysis software for identifying and quantifying cell phenotypes
Biologists can now prepare and image thousands of samples per day using automation, enabling chemical screens and functional genomics (for example, using RNA interference). Here we describe the first free, open-source system designed for flexible, high-throughput cell image analysis, CellProfiler. CellProfiler can address a variety of biological questions quantitatively, including standard assays (for example, cell count, size, per-cell protein levels) and complex morphological assays (for example, cell/organelle shape or subcellular patterns of DNA or protein staining).
- 1 April 2006
- Published by Springer Nature in Genome Biology
- Vol. 7 (10) , R100
Top Cited PapersOpen AccessCellProfiler: image analysis software for identifying and quantifying cell phenotypes
Biologists can now prepare and image thousands of samples per day using automation, enabling chemical screens and functional genomics (for example, using RNA interference). Here we describe the first free, open-source system designed for flexible, high-throughput cell image analysis, CellProfiler. CellProfiler can address a variety of biological questions quantitatively, including standard assays (for example, cell count, size, per-cell protein levels) and complex morphological assays (for example, cell/organelle shape or subcellular patterns of DNA or protein staining).