Comparison of quantitative methods for cell-shape analysis.
J Microsc
; 227(Pt 2): 140-56, 2007 Aug.
Article
em En
| MEDLINE
| ID: mdl-17845709
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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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Células Cultivadas
/
Caulobacter
/
Biologia Celular
Tipo de estudo:
Qualitative_research
Limite:
Animals
Idioma:
En
Revista:
J Microsc
Ano de publicação:
2007
Tipo de documento:
Article
País de afiliação:
Estados Unidos