Vascular image analysis
Automated vessel segmentation, morphology extraction, and spatial distribution metrics from histological images.
Vessel spatial analysis · Multiplex imaging · Open workflows
Computational Pathology Lab
Reproducible computational pathology for vascular biology, tumor microenvironment analysis, imaging mass cytometry, and translational cancer research.
VeSpAvessel spatial analysis
IMCmultiplex imaging workflows
6public software repositories
Openreproducible research tools
Research theme
Turning tissue images into measurable vascular and spatial biology
The Computational Pathology Lab builds analytical pipelines for extracting quantitative information from histological and multiplex tissue images. The group connects anatomical pathology, bioinformatics, image analysis, spatial biology, and computational modeling to study vascular remodeling, drug distribution, and tumor microenvironment organization.
Digital pathology
Whole-slide and annotation workflows that translate expert pathology questions into repeatable quantitative analyses.
Spatial biology
Cell neighborhoods, tissue architecture, vascular remodeling, and tumor microenvironment organization.
Imaging Mass Cytometry
Multiplex imaging workflows for channel preparation, segmentation, phenotyping, and spatial statistics.
Drug distribution modeling
Computational links between vascular architecture, tissue context, and therapy delivery patterns.
AI-assisted biomarkers
Careful machine learning for candidate biomarker discovery, validation, and biological interpretation.
Reproducible pipelines
Documented Python, Nextflow, QuPath, and HPC workflows built for reuse and transparent analysis.
Open science
Maintainable software, public repositories, and adaptable methods for interdisciplinary research.
Selected projects
Current work
Selected projects span vessel spatial analysis, multiplex imaging, computational pathology pipelines, and AI-assisted tumor microenvironment research.
VeSpA
Vessel Spatial Analysis for histological image analysis.
Team preview
People behind the work
A pathology-led, computation-enabled group connecting diagnostic expertise, bioinformatics, and reproducible software development.
Team profiles
Member cards load from editable JSON data.
Software
Open repositories
Open-source tools and workflows for VeSpA, imaging mass cytometry, QuPath-based annotation, Nextflow automation, and HPC execution.
GitHub repositories
Collaborate
Interested in spatial vessel analysis or computational pathology workflows?
Contact the lab to discuss collaborations, software, datasets, or translational research questions around tissue image analysis.