Cargando…
pomBseen: An automated pipeline for analysis of fission yeast images
Fission yeast is a model organism widely used for studies of eukaryotic cell biology. As such, it is subject to bright-field and fluorescent microscopy. Manual analysis of such data can be laborious and subjective. Therefore, we have developed pomBseen, an image analysis pipeline for the quantitatio...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497161/ https://www.ncbi.nlm.nih.gov/pubmed/37699057 http://dx.doi.org/10.1371/journal.pone.0291391 |
_version_ | 1785105250124824576 |
---|---|
author | Ohira, Makoto Rhind, Nicholas |
author_facet | Ohira, Makoto Rhind, Nicholas |
author_sort | Ohira, Makoto |
collection | PubMed |
description | Fission yeast is a model organism widely used for studies of eukaryotic cell biology. As such, it is subject to bright-field and fluorescent microscopy. Manual analysis of such data can be laborious and subjective. Therefore, we have developed pomBseen, an image analysis pipeline for the quantitation of fission yeast micrographs containing a bright-field channel and up to two fluorescent channels. It accepts a wide range of image formats and produces a table with the size and total and nuclear fluorescent intensities of the cells in the image. Benchmarking of the pipeline against manually annotated datasets demonstrates that it reliably segments cells and acquires their image parameters. Written in MATLAB, pomBseen is also available as a standalone application. |
format | Online Article Text |
id | pubmed-10497161 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-104971612023-09-13 pomBseen: An automated pipeline for analysis of fission yeast images Ohira, Makoto Rhind, Nicholas PLoS One Research Article Fission yeast is a model organism widely used for studies of eukaryotic cell biology. As such, it is subject to bright-field and fluorescent microscopy. Manual analysis of such data can be laborious and subjective. Therefore, we have developed pomBseen, an image analysis pipeline for the quantitation of fission yeast micrographs containing a bright-field channel and up to two fluorescent channels. It accepts a wide range of image formats and produces a table with the size and total and nuclear fluorescent intensities of the cells in the image. Benchmarking of the pipeline against manually annotated datasets demonstrates that it reliably segments cells and acquires their image parameters. Written in MATLAB, pomBseen is also available as a standalone application. Public Library of Science 2023-09-12 /pmc/articles/PMC10497161/ /pubmed/37699057 http://dx.doi.org/10.1371/journal.pone.0291391 Text en © 2023 Ohira, Rhind https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://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 | Research Article Ohira, Makoto Rhind, Nicholas pomBseen: An automated pipeline for analysis of fission yeast images |
title | pomBseen: An automated pipeline for analysis of fission yeast images |
title_full | pomBseen: An automated pipeline for analysis of fission yeast images |
title_fullStr | pomBseen: An automated pipeline for analysis of fission yeast images |
title_full_unstemmed | pomBseen: An automated pipeline for analysis of fission yeast images |
title_short | pomBseen: An automated pipeline for analysis of fission yeast images |
title_sort | pombseen: an automated pipeline for analysis of fission yeast images |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497161/ https://www.ncbi.nlm.nih.gov/pubmed/37699057 http://dx.doi.org/10.1371/journal.pone.0291391 |
work_keys_str_mv | AT ohiramakoto pombseenanautomatedpipelineforanalysisoffissionyeastimages AT rhindnicholas pombseenanautomatedpipelineforanalysisoffissionyeastimages |