Cargando…
CellProfiler 3.0: Next-generation image processing for biology
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, in...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6029841/ https://www.ncbi.nlm.nih.gov/pubmed/29969450 http://dx.doi.org/10.1371/journal.pbio.2005970 |
_version_ | 1783337036897320960 |
---|---|
author | 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. |
author_facet | 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. |
author_sort | McQuin, Claire |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6029841 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-60298412018-07-19 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. PLoS Biol Methods and Resources 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. Public Library of Science 2018-07-03 /pmc/articles/PMC6029841/ /pubmed/29969450 http://dx.doi.org/10.1371/journal.pbio.2005970 Text en © 2018 McQuin et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Methods and Resources 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. CellProfiler 3.0: Next-generation image processing for biology |
title | CellProfiler 3.0: Next-generation image processing for biology |
title_full | CellProfiler 3.0: Next-generation image processing for biology |
title_fullStr | CellProfiler 3.0: Next-generation image processing for biology |
title_full_unstemmed | CellProfiler 3.0: Next-generation image processing for biology |
title_short | CellProfiler 3.0: Next-generation image processing for biology |
title_sort | cellprofiler 3.0: next-generation image processing for biology |
topic | Methods and Resources |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6029841/ https://www.ncbi.nlm.nih.gov/pubmed/29969450 http://dx.doi.org/10.1371/journal.pbio.2005970 |
work_keys_str_mv | AT mcquinclaire cellprofiler30nextgenerationimageprocessingforbiology AT goodmanallen cellprofiler30nextgenerationimageprocessingforbiology AT chernyshevvasiliy cellprofiler30nextgenerationimageprocessingforbiology AT kamentskylee cellprofiler30nextgenerationimageprocessingforbiology AT ciminibetha cellprofiler30nextgenerationimageprocessingforbiology AT karhohskylew cellprofiler30nextgenerationimageprocessingforbiology AT doanminh cellprofiler30nextgenerationimageprocessingforbiology AT dingliya cellprofiler30nextgenerationimageprocessingforbiology AT rafelskisusannem cellprofiler30nextgenerationimageprocessingforbiology AT thirstrupderek cellprofiler30nextgenerationimageprocessingforbiology AT wiegraebewinfried cellprofiler30nextgenerationimageprocessingforbiology AT singhshantanu cellprofiler30nextgenerationimageprocessingforbiology AT beckertim cellprofiler30nextgenerationimageprocessingforbiology AT caicedojuanc cellprofiler30nextgenerationimageprocessingforbiology AT carpenterannee cellprofiler30nextgenerationimageprocessingforbiology |