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        <span>Computational Pathology Lab</span>
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          <p class="eyebrow">Vessel spatial analysis · Multiplex imaging · Open workflows</p>
          <h1>Computational Pathology Lab</h1>
          <p>Reproducible computational pathology for vascular biology, tumor microenvironment analysis, imaging mass cytometry, and translational cancer research.</p>
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      <section class="metrics" aria-label="Lab overview">
        <div class="metric"><strong>VeSpA</strong><span>vessel spatial analysis</span></div>
        <div class="metric"><strong>IMC</strong><span>multiplex imaging workflows</span></div>
        <div class="metric"><strong>6</strong><span>public software repositories</span></div>
        <div class="metric"><strong>Open</strong><span>reproducible research tools</span></div>
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          <p class="eyebrow">Research theme</p>
          <h2>Turning tissue images into measurable vascular and spatial biology</h2>
          <p>
            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.
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          <article class="card"><span class="card-icon">VA</span><h3>Vascular image analysis</h3><p>Automated vessel segmentation, morphology extraction, and spatial distribution metrics from histological images.</p></article>
          <article class="card"><span class="card-icon">DP</span><h3>Digital pathology</h3><p>Whole-slide and annotation workflows that translate expert pathology questions into repeatable quantitative analyses.</p></article>
          <article class="card"><span class="card-icon">SB</span><h3>Spatial biology</h3><p>Cell neighborhoods, tissue architecture, vascular remodeling, and tumor microenvironment organization.</p></article>
          <article class="card"><span class="card-icon">IMC</span><h3>Imaging Mass Cytometry</h3><p>Multiplex imaging workflows for channel preparation, segmentation, phenotyping, and spatial statistics.</p></article>
          <article class="card"><span class="card-icon">DD</span><h3>Drug distribution modeling</h3><p>Computational links between vascular architecture, tissue context, and therapy delivery patterns.</p></article>
          <article class="card"><span class="card-icon">AI</span><h3>AI-assisted biomarkers</h3><p>Careful machine learning for candidate biomarker discovery, validation, and biological interpretation.</p></article>
          <article class="card"><span class="card-icon">WF</span><h3>Reproducible pipelines</h3><p>Documented Python, Nextflow, QuPath, and HPC workflows built for reuse and transparent analysis.</p></article>
          <article class="card"><span class="card-icon">OS</span><h3>Open science</h3><p>Maintainable software, public repositories, and adaptable methods for interdisciplinary research.</p></article>
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          <p class="eyebrow">Selected projects</p>
          <h2>Current work</h2>
          <p>Selected projects span vessel spatial analysis, multiplex imaging, computational pathology pipelines, and AI-assisted tumor microenvironment research.</p>
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          <div class="fallback card"><h3>VeSpA</h3><p>Vessel Spatial Analysis for histological image analysis.</p></div>
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          <p class="eyebrow">Team preview</p>
          <h2>People behind the work</h2>
          <p>A pathology-led, computation-enabled group connecting diagnostic expertise, bioinformatics, and reproducible software development.</p>
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          <div class="fallback card"><h3>Team profiles</h3><p>Member cards load from editable JSON data.</p></div>
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          <p class="eyebrow">Software</p>
          <h2>Open repositories</h2>
          <p>Open-source tools and workflows for VeSpA, imaging mass cytometry, QuPath-based annotation, Nextflow automation, and HPC execution.</p>
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        <div class="grid four" data-render="repositories" data-limit="featured">
          <div class="fallback card"><h3>GitHub repositories</h3><p><a class="text-link" href="https://github.com/ComputationalPathologyLab">Visit the organization on GitHub.</a></p></div>
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          <p class="eyebrow">Collaborate</p>
          <h2>Interested in spatial vessel analysis or computational pathology workflows?</h2>
          <p>Contact the lab to discuss collaborations, software, datasets, or translational research questions around tissue image analysis.</p>
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          <strong>Computational Pathology Lab</strong>
          <p>Reproducible computational pathology, vascular image analysis, and spatial biology for translational cancer research.</p>
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