| Comparison of quantitative methods for cell-shape analysis. | |
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MedLine Citation:
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PMID: 17845709 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Morphology is an important large-scale manifestation of the global organizational and physiological state of cells, and is commonly used as a qualitative or quantitative measure of the outcome of various assays. Here we evaluate several different basic representations of cell shape - binary masks, distance maps and polygonal outlines - and different subsequent encodings of those representations - Fourier and Zernike decompositions, and the principal and independent components analyses - to determine which are best at capturing biologically important shape variation. We find that principal components analysis of two-dimensional shapes represented as outlines provide measures of morphology which are quantitative, biologically meaningful, human interpretable and work well across a range of cell types and parameter settings. |
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Authors:
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Z Pincus; J A Theriot |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S. |
Journal Detail:
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Title: Journal of microscopy Volume: 227 ISSN: 0022-2720 ISO Abbreviation: J Microsc Publication Date: 2007 Aug |
Date Detail:
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Created Date: 2007-09-11 Completed Date: 2007-11-30 Revised Date: 2009-11-19 |
Medline Journal Info:
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Nlm Unique ID: 0204522 Medline TA: J Microsc Country: England |
Other Details:
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Languages: eng Pagination: 140-56 Citation Subset: IM |
Affiliation:
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Program in Biomedical Informatics, and Department of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305, USA. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Animals Caulobacter / cytology* Cell Biology* Cell Size Cells, Cultured / cytology* |
| Grant Support | |
ID/Acronym/Agency:
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5-T15-LM007003-23/LM/NLM NIH HHS |
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