Year: 2025
Type: article
Abstract: Characterizing the movement of biomolecules in single cells quantitatively is essential to understanding fundamental biological mechanisms. RNA fluorescent in situ hybridization (RNA-FISH) is a technique for visualizing RNA in fixed cells using fluorescent probes. Automated processing of the resulting images is essential for large datasets. Here we demonstrate that our RNA-FISH image processing tool, TrueSpot, is useful for automatically detecting the locations of RNA at single molecule resolution. TrueSpot also performs well on images with immunofluorescent and GFP-tagged clustered protein targets. Additionally, we show that our 3D spot detection approach substantially outperforms current 2D spot detection algorithms.
Source: Genome biology
Institution: Vanderbilt University
Language: English
Subfield: Biophysics
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $5,490
Awards: High-Performance Computer Cluster for Biomedical Research, G3485139178, G3606619490, Molecular Mechanism of Gene Transcription Activation, G5984483675, BIDS: Vanderbilt Training Program in BIg Biomedical Data Science, G7110204130, DECODING THE NONCODING GENOME: LNCRNA DYNAMICS AND FUNCTION IN SINGLE CELLS, G9000014545, G9000344807
OpenAlex ID: W4414617549