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. C...
Main Authors: | , , , , , , , , , , , |
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Format: | Article |
Language: | English |
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BioMed Central Ltd
2010
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Online Access: | http://hdl.handle.net/1721.1/58762 https://orcid.org/0000-0003-2516-731X https://orcid.org/0000-0002-1446-7256 |
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author | Carpenter, Anne E. Jones, Thouis R. Lamprecht, Michael R. Clarke, Colin Kang, In Han Friman, Ola Guertin, David A. Chang, Joo Han Lindquist, Robert A. Moffat, Jason Golland, Polina Sabatini, David |
author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Carpenter, Anne E. Jones, Thouis R. Lamprecht, Michael R. Clarke, Colin Kang, In Han Friman, Ola Guertin, David A. Chang, Joo Han Lindquist, Robert A. Moffat, Jason Golland, Polina Sabatini, David |
author_sort | Carpenter, Anne E. |
collection | MIT |
description | 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). |
first_indexed | 2024-09-23T13:20:23Z |
format | Article |
id | mit-1721.1/58762 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T13:20:23Z |
publishDate | 2010 |
publisher | BioMed Central Ltd |
record_format | dspace |
spelling | mit-1721.1/587622022-10-01T14:37:14Z CellProfiler: image analysis software for identifying and quantifying cell phenotypes Carpenter, Anne E. Jones, Thouis R. Lamprecht, Michael R. Clarke, Colin Kang, In Han Friman, Ola Guertin, David A. Chang, Joo Han Lindquist, Robert A. Moffat, Jason Golland, Polina Sabatini, David Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Biology Whitehead Institute for Biomedical Research Clarke, Colin Golland, Polina Sabatini, David M. Jones, Thouis R. Kang, In Han 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). Merck/CSBi Fellowship Life Sciences Research Foundation Novartis Foundation Society for Biomolecular Screening MIT EECS/Whitehead/Broad Training Program in Computational Biology (NIH grant DK070069-01) Damon Runyon Cancer Research Foundation Natural Sciences and Engineering Research Council of Canada United States. Dept. of Defense (TSC grant W81XWH-05-1-0318-DS) National Institutes of Health (U.S.) (NIH grant R01 GM072555-01) W.M. Keck Foundation 2010-09-29T18:23:23Z 2010-09-29T18:23:23Z 2006-10 2006-09 2010-09-03T16:22:58Z Article http://purl.org/eprint/type/JournalArticle 1465-6906 http://hdl.handle.net/1721.1/58762 Genome Biology. 2006 Oct 31;7(10):R100 17076895 https://orcid.org/0000-0003-2516-731X https://orcid.org/0000-0002-1446-7256 en http://dx.doi.org/10.1186/gb-2006-7-10-r100 Genome biology Creative Commons Attribution http://creativecommons.org/licenses/by/2.0 Carpenter et al.; licensee BioMed Central Ltd. application/pdf BioMed Central Ltd BioMed Central Ltd |
spellingShingle | Carpenter, Anne E. Jones, Thouis R. Lamprecht, Michael R. Clarke, Colin Kang, In Han Friman, Ola Guertin, David A. Chang, Joo Han Lindquist, Robert A. Moffat, Jason Golland, Polina Sabatini, David CellProfiler: image analysis software for identifying and quantifying cell phenotypes |
title | CellProfiler: image analysis software for identifying and quantifying cell phenotypes |
title_full | CellProfiler: image analysis software for identifying and quantifying cell phenotypes |
title_fullStr | CellProfiler: image analysis software for identifying and quantifying cell phenotypes |
title_full_unstemmed | CellProfiler: image analysis software for identifying and quantifying cell phenotypes |
title_short | CellProfiler: image analysis software for identifying and quantifying cell phenotypes |
title_sort | cellprofiler image analysis software for identifying and quantifying cell phenotypes |
url | http://hdl.handle.net/1721.1/58762 https://orcid.org/0000-0003-2516-731X https://orcid.org/0000-0002-1446-7256 |
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