Cytomove: Browser-Based Tool for Automated Scratch Wound Healing Assay Analysis
Researchers have developed Cytomove, a browser-local software tool that automates the analysis of scratch wound healing assays, a common method for studying cell migration. The tool segments wound regions using an explainable algorithm, displays results for review before export, and keeps microscopy images on the user's machine for privacy. This addresses a practical bottleneck in converting assay images to reproducible measurements without requiring software installation or external dependencies.
Cytomove is a new software tool designed to streamline the quantification of scratch wound healing assays, which are widely used in cell biology research to study collective cell migration. The tool operates entirely in a web browser or as a desktop application, eliminating the need for local software installation or external image-processing dependencies. It uses an explainable variance-and-threshold pipeline to segment wound regions, displays segmentation overlays for user review before any data is exported, and generates outputs including wound area measurements, quality-control labels, and full analysis metadata in multiple formats (CSV, Excel, PNG, ZIP). In preliminary validation against the established ImageJ/Fiji Wound Healing Size Tool across 31 paired measurements, Cytomove showed close agreement with mean absolute percentage errors of 4.1% in brightfield images and 6.6% in phase-contrast time courses. The tool addresses key practical challenges in wound healing assay analysis: manual tracing bottlenecks, parameter tracking difficulties, and lack of transparency in segmentation decisions.
Limitations & open questions
The study notes this is a 'preliminary comparison' with limited scope (five image sets, 31 paired measurements). The authors do not discuss validation across diverse cell types, imaging conditions, or microscopy platforms beyond brightfield and phase-contrast. Computational performance metrics are described informally ('within seconds') rather than quantitatively. The tool's performance on challenging real-world images (mentioned via quality-control labels) is not systematically evaluated. Availability, licensing, and long-term maintenance plans are not addressed.
What different sources said
- bioRxivCenter
Cytomove: a browser-local and reviewable workflow for scratch wound healing assay quantification
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