<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Bahry E</submitter><funding>Howard Hughes Medical Institute</funding><funding>NCI NIH HHS</funding><funding>NIGMS NIH HHS</funding><pagination>1563-1567</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9718671</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>19(12)</volume><pubmed_abstract>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.</pubmed_abstract><journal>Nature methods</journal><pubmed_title>RS-FISH: precise, interactive, fast, and scalable FISH spot detection.</pubmed_title><pmcid>PMC9718671</pmcid><funding_grant_id>R01 GM127538</funding_grant_id><funding_grant_id>F32 CA239394</funding_grant_id><pubmed_authors>Long X</pubmed_authors><pubmed_authors>Preibisch S</pubmed_authors><pubmed_authors>Bahry E</pubmed_authors><pubmed_authors>Lionnet T</pubmed_authors><pubmed_authors>Kolyvanov K</pubmed_authors><pubmed_authors>Mamrak N</pubmed_authors><pubmed_authors>Zouinkhi M</pubmed_authors><pubmed_authors>Harrington KIS</pubmed_authors><pubmed_authors>Breimann L</pubmed_authors><pubmed_authors>Epstein L</pubmed_authors><pubmed_authors>King B</pubmed_authors></additional><is_claimable>false</is_claimable><name>RS-FISH: precise, interactive, fast, and scalable FISH spot detection.</name><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.</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Dec</publication><modification>2026-06-04T05:57:49.098Z</modification><creation>2025-04-05T11:27:22.078Z</creation></dates><accession>S-EPMC9718671</accession><cross_references><pubmed>36396787</pubmed><doi>10.1038/s41592-022-01669-y</doi></cross_references></HashMap>