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Automated brightfield morphometry of 3D organoid populations by OrganoSeg
Spheroid and organoid cultures are powerful in vitro models for biology, but size and shape diversity within the culture is largely ignored. To streamline morphometric profiling, we developed OrganoSeg, an open-source software that integrates segmentation, filtering, and analysis for archived bright...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5871765/ https://www.ncbi.nlm.nih.gov/pubmed/29593296 http://dx.doi.org/10.1038/s41598-017-18815-8 |
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author | Borten, Michael A. Bajikar, Sameer S. Sasaki, Nobuo Clevers, Hans Janes, Kevin A. |
author_facet | Borten, Michael A. Bajikar, Sameer S. Sasaki, Nobuo Clevers, Hans Janes, Kevin A. |
author_sort | Borten, Michael A. |
collection | PubMed |
description | Spheroid and organoid cultures are powerful in vitro models for biology, but size and shape diversity within the culture is largely ignored. To streamline morphometric profiling, we developed OrganoSeg, an open-source software that integrates segmentation, filtering, and analysis for archived brightfield images of 3D culture. OrganoSeg is more accurate and flexible than existing platforms, and we illustrate its potential by stratifying 5167 breast-cancer spheroid and 5743 colon and colorectal-cancer organoid morphologies. Organoid transcripts grouped by morphometric signature heterogeneity were enriched for biological processes not prominent in the original RNA sequencing data. OrganoSeg enables complete, objective quantification of brightfield phenotypes, which may give insight into the molecular and multicellular mechanisms of organoid regulation. |
format | Online Article Text |
id | pubmed-5871765 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58717652018-04-02 Automated brightfield morphometry of 3D organoid populations by OrganoSeg Borten, Michael A. Bajikar, Sameer S. Sasaki, Nobuo Clevers, Hans Janes, Kevin A. Sci Rep Article Spheroid and organoid cultures are powerful in vitro models for biology, but size and shape diversity within the culture is largely ignored. To streamline morphometric profiling, we developed OrganoSeg, an open-source software that integrates segmentation, filtering, and analysis for archived brightfield images of 3D culture. OrganoSeg is more accurate and flexible than existing platforms, and we illustrate its potential by stratifying 5167 breast-cancer spheroid and 5743 colon and colorectal-cancer organoid morphologies. Organoid transcripts grouped by morphometric signature heterogeneity were enriched for biological processes not prominent in the original RNA sequencing data. OrganoSeg enables complete, objective quantification of brightfield phenotypes, which may give insight into the molecular and multicellular mechanisms of organoid regulation. Nature Publishing Group UK 2018-03-28 /pmc/articles/PMC5871765/ /pubmed/29593296 http://dx.doi.org/10.1038/s41598-017-18815-8 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Borten, Michael A. Bajikar, Sameer S. Sasaki, Nobuo Clevers, Hans Janes, Kevin A. Automated brightfield morphometry of 3D organoid populations by OrganoSeg |
title | Automated brightfield morphometry of 3D organoid populations by OrganoSeg |
title_full | Automated brightfield morphometry of 3D organoid populations by OrganoSeg |
title_fullStr | Automated brightfield morphometry of 3D organoid populations by OrganoSeg |
title_full_unstemmed | Automated brightfield morphometry of 3D organoid populations by OrganoSeg |
title_short | Automated brightfield morphometry of 3D organoid populations by OrganoSeg |
title_sort | automated brightfield morphometry of 3d organoid populations by organoseg |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5871765/ https://www.ncbi.nlm.nih.gov/pubmed/29593296 http://dx.doi.org/10.1038/s41598-017-18815-8 |
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