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Semantic Scholar Open Access 2006 5086 sitasi

CellProfiler: image analysis software for identifying and quantifying cell phenotypes

Anne E Carpenter T. Jones M. R. Lamprecht C. Clarke In Han Kang +7 lainnya
Lihat Sumber DOI

Abstrak

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).

Topik & Kata Kunci

Biology Medicine

Penulis (12)

A

Anne E Carpenter

T

T. Jones

M

M. R. Lamprecht

C

C. Clarke

I

In Han Kang

O

O. Friman

D

D. Guertin

J

J. H. Chang

R

Robert A Lindquist

J

J. Moffat

P

P. Golland

D

D. Sabatini

Format Sitasi

APA MLA BibTeX
Carpenter, A.E., Jones, T., Lamprecht, M.R., Clarke, C., Kang, I.H., Friman, O. et al. (2006). CellProfiler: image analysis software for identifying and quantifying cell phenotypes. https://doi.org/10.1186/gb-2006-7-10-r100

Akses Cepat

Lihat di Sumber doi.org/10.1186/gb-2006-7-10-r100
Informasi Jurnal
Tahun Terbit
2006
Bahasa
en
Total Sitasi
5086×
Sumber Database
Semantic Scholar
DOI
10.1186/gb-2006-7-10-r100
Akses
Open Access ✓