ColocZStats: a z-stack signal colocalization extension tool for 3D slicer
Xiang Chen, Teena Thakur, Anand D. Jeyasekharan, Touati Benoukraf, Oscar Meruvia-Pastor

TL;DR
ColocZStats is a new tool for 3D Slicer that enables users to analyze colocalization of signals in 3D confocal microscopy images within user-defined regions.
Contribution
The tool introduces ROI-based colocalization analysis in 3D Slicer, filling a gap in existing visualization platforms.
Findings
Current 3D visualization tools lack robust ROI-based colocalization analysis features.
ColocZStats provides a user-friendly interface for thresholding and ROI selection in 3D image stacks.
The extension generates colocalization metrics and reports in diagrams and spreadsheets.
Abstract
Confocal microscopy has evolved to be a widely adopted imaging technique in molecular biology and is frequently utilized to achieve accurate subcellular localization of proteins. Applying colocalization analysis on image z-stacks obtained from confocal fluorescence microscopes is a dependable method of revealing the relationship between different molecules. In addition, despite the established advantages and growing adoption of 3D visualization software in various microscopy research domains, there have been few systems that can support colocalization analysis within a user-specified region of interest (ROI). In this context, several broadly employed biological image visualization platforms are meticulously explored in this study to understand the current landscape. It has been observed that while these applications can generate three-dimensional (3D) reconstructions for z-stacks, and…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsCell Image Analysis Techniques · Advanced Fluorescence Microscopy Techniques · Single-cell and spatial transcriptomics
