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CellProfiler 3.0: Next-generation image processing for biology.
McQuin, Claire; Goodman, Allen; Chernyshev, Vasiliy; Kamentsky, Lee; Cimini, Beth A; Karhohs, Kyle W; Doan, Minh; Ding, Liya; Rafelski, Susanne M; Thirstrup, Derek; Wiegraebe, Winfried; Singh, Shantanu; Becker, Tim; Caicedo, Juan C; Carpenter, Anne E.
Afiliação
  • McQuin C; Imaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America.
  • Goodman A; Imaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America.
  • Chernyshev V; Skolkovo Institute of Science and Technology, Skolkovo, Moscow Region, Russia.
  • Kamentsky L; Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, Russia.
  • Cimini BA; Imaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America.
  • Karhohs KW; Imaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America.
  • Doan M; Imaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America.
  • Ding L; Imaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America.
  • Rafelski SM; Allen Institute for Cell Science, Seattle, Washington, United States of America.
  • Thirstrup D; Allen Institute for Cell Science, Seattle, Washington, United States of America.
  • Wiegraebe W; Allen Institute for Cell Science, Seattle, Washington, United States of America.
  • Singh S; Allen Institute for Cell Science, Seattle, Washington, United States of America.
  • Becker T; Imaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America.
  • Caicedo JC; Imaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America.
  • Carpenter AE; Imaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America.
PLoS Biol ; 16(7): e2005970, 2018 07.
Article em En | MEDLINE | ID: mdl-29969450
ABSTRACT
CellProfiler has enabled the scientific research community to create flexible, modular image analysis pipelines since its release in 2005. Here, we describe CellProfiler 3.0, a new version of the software supporting both whole-volume and plane-wise analysis of three-dimensional (3D) image stacks, increasingly common in biomedical research. CellProfiler's infrastructure is greatly improved, and we provide a protocol for cloud-based, large-scale image processing. New plugins enable running pretrained deep learning models on images. Designed by and for biologists, CellProfiler equips researchers with powerful computational tools via a well-documented user interface, empowering biologists in all fields to create quantitative, reproducible image analysis workflows.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Software Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Software Idioma: En Ano de publicação: 2018 Tipo de documento: Article