Wound analysis using smartphone images
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Updated
Apr 30, 2024 - Python
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
Wound healing analysis and segment the wound area
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.
Wound segmentation
Skin BioDynaMo (SkiBiDy) is a modular hybrid agent-continuum skin simulation built on BioDynaMo
Dermal healing monitoring tool based on Association of Professional Piercers (APP) clinical aftercare standards.
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.
Granular Linear Regression Tool
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