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...

Descripción completa

Detalles Bibliográficos
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
Descripción
Sumario: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.