RS-FISH

RS-FISH detects and localizes diffraction-limited single-molecule fluorescent in-situ hybridization (FISH) spots in two-dimensional and three-dimensional microscopy images to enable precise spatial analysis of molecular processes.


Key Features:

  • Accuracy and Robustness: Detects single-molecule FISH (smFISH) spots with high precision across two-dimensional and three-dimensional datasets, providing reliable identification in complex imaging conditions.
  • Parameter Tuning: Supports adjustment of detection parameters to optimize spot identification for specific experimental conditions and sample types.
  • Scalability: Processes large-scale image datasets and supports distributed processing for analysis of extensive image volumes.

Scientific Applications:

  • Single-Molecule FISH (smFISH): Enables study of gene expression at single-molecule resolution within cells.
  • Spatial Transcriptomics: Facilitates mapping of RNA transcripts across tissue sections to reveal spatial gene expression patterns.
  • Spatial Genomics: Aids localization and analysis of genomic elements within their native cellular context.

Methodology:

Uses the Radial Symmetry algorithm, analyzing symmetry around potential spot centers to distinguish true molecular signals from background noise.

Topics

Details

Tool Type:
desktop application
Programming Languages:
Java, Python
Added:
11/29/2021
Last Updated:
11/29/2021

Operations

Publications

Bahry E, Breimann L, Zouinkhi M, Epstein L, Kolyvanov K, Long X, Harrington KIS, Lionnet T, Preibisch S. RS-FISH: Precise, interactive, fast, and scalable FISH spot detection. Unknown Journal. 2021. doi:10.1101/2021.03.09.434205.

Links