RS-FISH: precise, interactive, fast, and scalable FISH spot detection.
RS-FISH: precise, interactive, fast, and scalable FISH spot detection.
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DOI:
10.1038/s41592-022-01669-y
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发表时间:
2022-12
期刊:
影响因子:
48
通讯作者:
Preibisch S
中科院分区:
文献类型:
--
作者:
Bahry E;Breimann L;Zouinkhi M;Epstein L;Kolyvanov K;Mamrak N;King B;Long X;Harrington KIS;Lionnet T;Preibisch S
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. RS-FISH is a user-friendly software for accurate spot detection that is applicable to smFISH experiments, spatial transcriptomics, and spatial genomics. The approach enables fast spot detection in even very large volumetric datasets.
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