Cargando…
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...
Autores principales: | , , , , , , , , , , |
---|---|
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 |
_version_ | 1784843140398579712 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9718671 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT bahryella rsfishpreciseinteractivefastandscalablefishspotdetection AT breimannlaura rsfishpreciseinteractivefastandscalablefishspotdetection AT zouinkhimarwan rsfishpreciseinteractivefastandscalablefishspotdetection AT epsteinleo rsfishpreciseinteractivefastandscalablefishspotdetection AT kolyvanovklim rsfishpreciseinteractivefastandscalablefishspotdetection AT mamraknicholas rsfishpreciseinteractivefastandscalablefishspotdetection AT kingbenjamin rsfishpreciseinteractivefastandscalablefishspotdetection AT longxi rsfishpreciseinteractivefastandscalablefishspotdetection AT harringtonkyleis rsfishpreciseinteractivefastandscalablefishspotdetection AT lionnettimothee rsfishpreciseinteractivefastandscalablefishspotdetection AT preibischstephan rsfishpreciseinteractivefastandscalablefishspotdetection |