EASI-ORC: A pipeline for the efficient analysis and segmentation of smFISH images for organelle-RNA colocalization measurements in yeast.

ABSTRACT: Analysis of single-molecule fluorescent in situ hybridization (smFISH) images is important to translate cellular image data into a quantifiable format. Although smFISH is the gold standard for RNA localization measurements, there are no freely available, user-friendly applications for assaying messenger RNA (mRNA) localization to organelles. EASI-ORC (Efficient Analysis and Segmentation of smFISH Images for Organelle-RNA Colocalization) is a novel pipeline for the automated analysis of multiple smFISH images of yeast cells. EASI-ORC automates the segmentation of cells and organelles, identifies bona fide smFISH signals, and measures mRNA-organelle colocalization. EASI-ORC is efficient, unbiased, and plots the colocalization data and statistical analyses. EASI-ORC utilizes existing ImageJ p

SUBMITTER: Garin S 

PROVIDER: S-EPMC11829984 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature