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RS-FISH: precise, interactive, fast, and scalable FISH spot detection

Fluorescent in-situ hybridization (FISH)-based methods extract spatially resolved genetic and epigenetic information from biological samples by detecting fluorescent spots in microscopy images, an often challenging task. We present Radial Symmetry-FISH (RS-FISH), an accurate, fast, and user-friendly...

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Autores principales: Bahry, Ella, Breimann, Laura, Zouinkhi, Marwan, Epstein, Leo, Kolyvanov, Klim, Mamrak, Nicholas, King, Benjamin, Long, Xi, Harrington, Kyle I. S., Lionnet, Timothée, Preibisch, Stephan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9718671/
https://www.ncbi.nlm.nih.gov/pubmed/36396787
http://dx.doi.org/10.1038/s41592-022-01669-y
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author Bahry, Ella
Breimann, Laura
Zouinkhi, Marwan
Epstein, Leo
Kolyvanov, Klim
Mamrak, Nicholas
King, Benjamin
Long, Xi
Harrington, Kyle I. S.
Lionnet, Timothée
Preibisch, Stephan
author_facet Bahry, Ella
Breimann, Laura
Zouinkhi, Marwan
Epstein, Leo
Kolyvanov, Klim
Mamrak, Nicholas
King, Benjamin
Long, Xi
Harrington, Kyle I. S.
Lionnet, Timothée
Preibisch, Stephan
author_sort Bahry, Ella
collection PubMed
description Fluorescent in-situ hybridization (FISH)-based methods extract spatially resolved genetic and epigenetic information from biological samples by detecting fluorescent spots in microscopy images, an often challenging task. We present Radial Symmetry-FISH (RS-FISH), an accurate, fast, and user-friendly software for spot detection in two- and three-dimensional images. RS-FISH offers interactive parameter tuning and readily scales to large datasets and image volumes of cleared or expanded samples using distributed processing on workstations, clusters, or the cloud. RS-FISH maintains high detection accuracy and low localization error across a wide range of signal-to-noise ratios, a key feature for single-molecule FISH, spatial transcriptomics, or spatial genomics applications.
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spelling pubmed-97186712022-12-04 RS-FISH: precise, interactive, fast, and scalable FISH spot detection Bahry, Ella Breimann, Laura Zouinkhi, Marwan Epstein, Leo Kolyvanov, Klim Mamrak, Nicholas King, Benjamin Long, Xi Harrington, Kyle I. S. Lionnet, Timothée Preibisch, Stephan Nat Methods Brief Communication Fluorescent in-situ hybridization (FISH)-based methods extract spatially resolved genetic and epigenetic information from biological samples by detecting fluorescent spots in microscopy images, an often challenging task. We present Radial Symmetry-FISH (RS-FISH), an accurate, fast, and user-friendly software for spot detection in two- and three-dimensional images. RS-FISH offers interactive parameter tuning and readily scales to large datasets and image volumes of cleared or expanded samples using distributed processing on workstations, clusters, or the cloud. RS-FISH maintains high detection accuracy and low localization error across a wide range of signal-to-noise ratios, a key feature for single-molecule FISH, spatial transcriptomics, or spatial genomics applications. Nature Publishing Group US 2022-11-17 2022 /pmc/articles/PMC9718671/ /pubmed/36396787 http://dx.doi.org/10.1038/s41592-022-01669-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Brief Communication
Bahry, Ella
Breimann, Laura
Zouinkhi, Marwan
Epstein, Leo
Kolyvanov, Klim
Mamrak, Nicholas
King, Benjamin
Long, Xi
Harrington, Kyle I. S.
Lionnet, Timothée
Preibisch, Stephan
RS-FISH: precise, interactive, fast, and scalable FISH spot detection
title RS-FISH: precise, interactive, fast, and scalable FISH spot detection
title_full RS-FISH: precise, interactive, fast, and scalable FISH spot detection
title_fullStr RS-FISH: precise, interactive, fast, and scalable FISH spot detection
title_full_unstemmed RS-FISH: precise, interactive, fast, and scalable FISH spot detection
title_short RS-FISH: precise, interactive, fast, and scalable FISH spot detection
title_sort rs-fish: precise, interactive, fast, and scalable fish spot detection
topic Brief Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9718671/
https://www.ncbi.nlm.nih.gov/pubmed/36396787
http://dx.doi.org/10.1038/s41592-022-01669-y
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