RS-FISH: precise, interactive, fast, and scalable FISH spot detection

Tools

Item Type:	Preprint
Title:	RS-FISH: precise, interactive, fast, and scalable FISH spot detection
Creators Name:	Preibisch, S., Bahry, E., Breimann, L., Zouinkhi, M., Epstein, L., Kolyvanov, K., Long, X., Harrington, K. and Lionnet, T.
Abstract:	Fluorescent in-situ hybridization (FISH)-based methods are powerful tools to study molecular processes with subcellular resolution, relying on accurate identification and localization of diffraction-limited spots in microscopy images. We developed the Radial Symmetry-FISH (RS-FISH) software that accurately, robustly, and quickly detects single-molecule spots in two and three dimensions, making it applicable to several key assays, including single-molecule FISH (smFISH), spatial transcriptomics, and spatial genomics. RS-FISH allows interactive parameter tuning and scales to large sets of images as well as tera-byte sized image volumes such as entire brain scans using straight-forward distributed processing on workstations, clusters, and in the cloud.
Keywords:	SmFISH, Image Analysis, Spatial Transcriptomics, Transcription, Spatial Genomics, Microscopy
Source:	Research Square
Title of Book:	RS-FISH: Precise, interactive, fast, and scalable FISH spot detection
Publisher:	Research Square
Article Number:	rs-992563/v1
Date:	21 October 2021
Official Publication:	https://doi.org/10.21203/rs.3.rs-992563/v1
Related to:	URL URL Type https://edoc.mdc-berlin.de/22825/ Final version

Repository Staff Only: item control page