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...

Descripción completa

Detalles Bibliográficos
Autores principales: Ohira, Makoto, Rhind, Nicholas
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