wound-healing

Wound analysis using smartphone images

Comprehensive analysis of single cell RNAseq and spatial transcriptomics in human acute and chronic wounds

This web application is useful for scratch analysis

bulk RNA-seq of miRNA and mRNA profiling of human acute and chronic wounds

Real-time AI wound monitoring system using computer vision, streaming analytics, and LLM insights to transform post-surgical care with privacy-first design.

This is MATLAB script created and used via the Trinkaus-Randall Lab at Boston University for the analysis of epithelial cellular calcium signaling during wound healing.

Skin BioDynaMo (SkiBiDy) is a modular hybrid agent-continuum skin simulation built on BioDynaMo

Wound healing analysis and segment the wound area

Wound segmentation

Granular Linear Regression Tool

Repository for publication outlining a number of computational models for complex wound analysis in both mice and humans.

A completely local, browser-based tool for quantifying cell-free regions in wound healing assays. No server or installation required. Features include scale calibration, automatic Otsu thresholding for cell front detection, batch processing, and CSV export. Perfect for fast, private, and unbiased monolayer analysis.

Code, dataset, and benchmark for cross-cell-line wound-healing segmentation (IEEE ICIP 2026 COMIC Workshop)

Dermal healing monitoring tool based on Association of Professional Piercers (APP) clinical aftercare standards.

A dynamical systems model of fibroblast state transitions under pulsed electromagnetic field (PEMF) stimulation, linking migration, matrix production, metabolic activity, and repair-associated functional states.

Explainable wound-age estimation using human and animal transcriptomic data, grouped validation and uncertainty-aware machine learning.