Article ; Online: RS-FISH: precise, interactive, fast, and scalable FISH spot detection.
2022 Volume 19, Issue 12, Page(s) 1563–1567
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 ( ... ...
| 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. |
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| MeSH term(s) | In Situ Hybridization, Fluorescence ; Coloring Agents ; Epigenomics ; Genomics ; Microscopy | |||||
| Chemical Substances | Coloring Agents | |||||
| Language | English | |||||
| Publishing date | 2022-11-17 | |||||
| Publishing country | United States | |||||
| Document type | Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't | |||||
| ZDB-ID | 2169522-2 | |||||
| ISSN | 1548-7105 ; 1548-7091 | |||||
| ISSN (online) | 1548-7105 | |||||
| ISSN | 1548-7091 | |||||
| DOI | 10.1038/s41592-022-01669-y | |||||
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| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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