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

Autor: K. Kolyvanov, Ella Bahry, M. Zouinkhi, Timothée Lionnet, Leo Epstein, Stephan Preibisch, Kyle Harrington, Xi Long, Laura Breimann
Rok vydání: 2021
Předmět:
DOI: 10.21203/rs.3.rs-992563/v1
Popis: 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.
Databáze: OpenAIRE