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-<!DOCTYPE html><html lang="en"><head><meta charset="utf-8"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link rel="shortcut icon" href="/static/2024/images/favicon.png" type="image/x-icon"><script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><script src="https://cdn.auth0.com/js/auth0-spa-js/1.12/auth0-spa-js.production.js"></script><script src="https://cdn.jsdelivr.net/npm/d3@6/dist/d3.min.js"></script><script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/handlebars.min.js" integrity="sha256-/PJBs6QWvXijOFIX04kZpLb6ZtSQckdOIavLWKKOgXU=" crossorigin="anonymous"></script><script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/umd/popper.min.js" integrity="sha384-Q6E9RHvbIyZFJoft+2mJbHaEWldlvI9IOYy5n3zV9zzTtmI3UksdQRVvoxMfooAo" crossorigin="anonymous"></script><script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/bootstrap.min.js" integrity="sha256-WqU1JavFxSAMcLP2WIOI+GB2zWmShMI82mTpLDcqFUg=" crossorigin="anonymous"></script><script src="https://cdn.jsdelivr.net/npm/[email protected]/min/moment.min.js" integrity="sha256-4iQZ6BVL4qNKlQ27TExEhBN1HFPvAvAMbFavKKosSWQ=" crossorigin="anonymous"></script><script src="https://cdn.jsdelivr.net/npm/[email protected]/builds/moment-timezone-with-data.min.js" integrity="sha256-IWYg4uIC8/erItNXYvLtyYHioRi2zT1TFva8qaAU/ww=" crossorigin="anonymous"></script><script src="https://cdn.jsdelivr.net/npm/@popperjs/[email protected]/dist/umd/popper.min.js"></script><script src="https://cdn.jsdelivr.net/npm/tippy.js@6/dist/tippy-bundle.umd.min.js"></script><script src="https://cdn.jsdelivr.net/npm/js-cookie@2/src/js.cookie.min.js"></script><script src="/static/2024/js/libs_ext/typeahead.bundle.js"></script><script src="/static/2024/js/data/persistor.js"></script><script src="/static/2024/js/data/api.js"></script><link rel="shortcut icon" href="/static/2024/images/favicon.png" type="image/x-icon"><link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" integrity="sha256-YLGeXaapI0/5IgZopewRJcFXomhRMlYYjugPLSyNjTY=" crossorigin="anonymous"><link href="/static/2024/css/Zilla.css" rel="stylesheet"><link href="/static/2024/css/Fira.css" rel="stylesheet"><link rel="stylesheet" href="/static/2024/css/main.css"><link rel="stylesheet" href="/static/2024/css/fa_solid.css"><link rel="stylesheet" href="/static/2024/css/lazy_load.css"><link rel="stylesheet" href="/static/2024/css/typeahead.css"><meta name="twitter:card" content="summary"><meta name="twitter:site" content="@ieeevis"><meta name="twitter:title" content="IEEE VIS 2024 - Paper: A Simplified Positional Cell Type Visualization using Spatially Aggregated Clusters"><meta name="twitter:description" content="We introduce a novel method for overlaying cell type proportion data onto tissue images. This approach preserves spatial context while avoiding visual clutter or excessively obscuring the underlying slide. Our proposed technique involves clustering the data and aggregating neighboring points of the same cluster into polygons."><meta name="twitter:image" content="https://ieeevis.b-cdn.net/vis_2021/vis_preview.png"><meta name="image" property="og:image" content="https://ieeevis.b-cdn.net/vis_2021/vis_preview.png"><meta name="description" property="og:description" content="We introduce a novel method for overlaying cell type proportion data onto tissue images. This approach preserves spatial context while avoiding visual clutter or excessively obscuring the underlying slide. Our proposed technique involves clustering the data and aggregating neighboring points of the same cluster into polygons."><meta name="title" property="og:title" content="Virtual IEEE VIS 2024 - Paper: A Simplified Positional Cell Type Visualization using Spatially Aggregated Clusters"><meta property="og:type" content="website"><title>IEEE VIS 2024 Content: A Simplified Positional Cell Type Visualization using Spatially Aggregated Clusters</title></head><body data-bs-spy="scroll" data-bs-target="#nav-scrollspy" style><div class="container mb-5"><div class="tabs"></div><div class="content"><div class="row mt-3"><div class="col-md-12"><nav class="nav-breadcrumb mb-3" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item"><a href="event_a-biomedchallenge.html">Bio+MedVis Challenges</a></li><li class="breadcrumb-item"><a href="session_contest1.html">Bio+Med+Vis Workshop</a></li><li class="breadcrumb-item active text-truncate" aria-current="page">A Simplified Positional Cell Type Visualization using Spatially Aggregated Clusters</li></ol></nav><h1 class="paper-title">A Simplified Positional Cell Type Visualization using Spatially Aggregated Clusters</h1><div class="checkbox-bookmark fas" style="font-size: 24pt;position: absolute; top:10px; right:20px;" data-tippy-content="(un-)bookmark this paper"> &#xf02e; </div><h4 class="paper-authors pb-2 mt-2"><span class="fas mr-1">&#xf183;</span><a href="mailto:[email protected]">Lee Mason</a> - NIH, Rockville, United States. Queen&#39;s University, Belfast, United Kingdom </h4><h4 class="paper-authors pb-2 mt-2"><span class="fas mr-1">&#xf183;</span> Jonas S Almeida - National Institutes of Health, Rockville, United States </h4><h3 class="session-room mt-4"><span class="fas mr-1">&#xf108;</span><a href="room_bayshore5.html"> Room: Bayshore V </a></h3><h5 class="paper-presentation pb-2"><span class="format-date">2024-10-13T16:00:00Z</span><span alt="Change timezone on schedule page" class="timezone tztooltip"><strong>GMT<span class="selectedTimezone">-0600</span></strong><span class="tztooltiptext">Change your timezone on the schedule page</span></span><br><span style="margin-left: 2rem; font-size: 1rem;" class="timezone tztooltip"><span class="relative-time">2024-10-13T16:00:00Z</span><span class="current-time tztooltiptext"></span></span></h5></div></div><div class="row my-3"><div class="col-md-8"></div></div><div class="row my-3"><div class="col-md-8"><h5 class="paper-details-heading">Abstract</h5><p>We introduce a novel method for overlaying cell type proportion data onto tissue images. This approach preserves spatial context while avoiding visual clutter or excessively obscuring the underlying slide. Our proposed technique involves clustering the data and aggregating neighboring points of the same cluster into polygons.</p></div></div><script lang="js">
+<!DOCTYPE html><html lang="en"><head><meta charset="utf-8"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link rel="shortcut icon" href="/static/2024/images/favicon.png" type="image/x-icon"><script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><script src="https://cdn.auth0.com/js/auth0-spa-js/1.12/auth0-spa-js.production.js"></script><script src="https://cdn.jsdelivr.net/npm/d3@6/dist/d3.min.js"></script><script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/handlebars.min.js" integrity="sha256-/PJBs6QWvXijOFIX04kZpLb6ZtSQckdOIavLWKKOgXU=" crossorigin="anonymous"></script><script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/umd/popper.min.js" integrity="sha384-Q6E9RHvbIyZFJoft+2mJbHaEWldlvI9IOYy5n3zV9zzTtmI3UksdQRVvoxMfooAo" crossorigin="anonymous"></script><script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/bootstrap.min.js" integrity="sha256-WqU1JavFxSAMcLP2WIOI+GB2zWmShMI82mTpLDcqFUg=" crossorigin="anonymous"></script><script src="https://cdn.jsdelivr.net/npm/[email protected]/min/moment.min.js" integrity="sha256-4iQZ6BVL4qNKlQ27TExEhBN1HFPvAvAMbFavKKosSWQ=" crossorigin="anonymous"></script><script src="https://cdn.jsdelivr.net/npm/[email protected]/builds/moment-timezone-with-data.min.js" integrity="sha256-IWYg4uIC8/erItNXYvLtyYHioRi2zT1TFva8qaAU/ww=" crossorigin="anonymous"></script><script src="https://cdn.jsdelivr.net/npm/@popperjs/[email protected]/dist/umd/popper.min.js"></script><script src="https://cdn.jsdelivr.net/npm/tippy.js@6/dist/tippy-bundle.umd.min.js"></script><script src="https://cdn.jsdelivr.net/npm/js-cookie@2/src/js.cookie.min.js"></script><script src="/static/2024/js/libs_ext/typeahead.bundle.js"></script><script src="/static/2024/js/data/persistor.js"></script><script src="/static/2024/js/data/api.js"></script><link rel="shortcut icon" href="/static/2024/images/favicon.png" type="image/x-icon"><link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" integrity="sha256-YLGeXaapI0/5IgZopewRJcFXomhRMlYYjugPLSyNjTY=" crossorigin="anonymous"><link href="/static/2024/css/Zilla.css" rel="stylesheet"><link href="/static/2024/css/Fira.css" rel="stylesheet"><link rel="stylesheet" href="/static/2024/css/main.css"><link rel="stylesheet" href="/static/2024/css/fa_solid.css"><link rel="stylesheet" href="/static/2024/css/lazy_load.css"><link rel="stylesheet" href="/static/2024/css/typeahead.css"><meta name="twitter:card" content="summary"><meta name="twitter:site" content="@ieeevis"><meta name="twitter:title" content="IEEE VIS 2024 - Paper: A Simplified Positional Cell Type Visualization using Spatially Aggregated Clusters"><meta name="twitter:description" content="We introduce a novel method for overlaying cell type proportion data onto tissue images. This approach preserves spatial context while avoiding visual clutter or excessively obscuring the underlying slide. Our proposed technique involves clustering the data and aggregating neighboring points of the same cluster into polygons."><meta name="twitter:image" content="https://ieeevis.b-cdn.net/vis_2021/vis_preview.png"><meta name="image" property="og:image" content="https://ieeevis.b-cdn.net/vis_2021/vis_preview.png"><meta name="description" property="og:description" content="We introduce a novel method for overlaying cell type proportion data onto tissue images. This approach preserves spatial context while avoiding visual clutter or excessively obscuring the underlying slide. Our proposed technique involves clustering the data and aggregating neighboring points of the same cluster into polygons."><meta name="title" property="og:title" content="Virtual IEEE VIS 2024 - Paper: A Simplified Positional Cell Type Visualization using Spatially Aggregated Clusters"><meta property="og:type" content="website"><title>IEEE VIS 2024 Content: A Simplified Positional Cell Type Visualization using Spatially Aggregated Clusters</title></head><body data-bs-spy="scroll" data-bs-target="#nav-scrollspy" style><div class="container mb-5"><div class="tabs"></div><div class="content"><div class="row mt-3"><div class="col-md-12"><nav class="nav-breadcrumb mb-3" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item"><a href="event_a-biomedchallenge.html">Bio+MedVis Challenges</a></li><li class="breadcrumb-item"><a href="session_contest1.html">Bio+Med+Vis Workshop</a></li><li class="breadcrumb-item active text-truncate" aria-current="page">A Simplified Positional Cell Type Visualization using Spatially Aggregated Clusters</li></ol></nav><h1 class="paper-title">A Simplified Positional Cell Type Visualization using Spatially Aggregated Clusters</h1><div class="checkbox-bookmark fas" style="font-size: 24pt;position: absolute; top:10px; right:20px;" data-tippy-content="(un-)bookmark this paper"> &#xf02e; </div><h4 class="paper-authors pb-2 mt-2"><span class="fas mr-1">&#xf183;</span><a href="mailto:[email protected]">Lee Mason</a> - NIH, Rockville, United States. Queen&#39;s University, Belfast, United Kingdom </h4><h4 class="paper-authors pb-2 mt-2"><span class="fas mr-1">&#xf183;</span> Jonas S Almeida - National Institutes of Health, Rockville, United States </h4><h3 class="session-room mt-4"><span class="fas mr-1">&#xf108;</span><a href="room_bayshore5.html"> Room: Bayshore V </a></h3><h5 class="paper-presentation pb-2"><span class="format-date">2024-10-13T16:00:00Z</span><span alt="Change timezone on schedule page" class="timezone tztooltip"><strong>GMT<span class="selectedTimezone">-0600</span></strong><span class="tztooltiptext">Change your timezone on the schedule page</span></span><br><span style="margin-left: 2rem; font-size: 1rem;" class="timezone tztooltip"><span class="relative-time">2024-10-13T16:00:00Z</span><span class="current-time tztooltiptext"></span></span></h5></div></div><div class="row my-3"><div class="col-md-8"></div></div><div class="row my-3"><div class="col-md-8"><h5 class="paper-details-heading">Full Video</h5><iframe width="730" height="410" src="https://www.youtube-nocookie.com/embed/6sxFyy5SXQ0?start=3384" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></div></div><div class="row my-3"><div class="col-md-8"><h5 class="paper-details-heading">Abstract</h5><p>We introduce a novel method for overlaying cell type proportion data onto tissue images. This approach preserves spatial context while avoiding visual clutter or excessively obscuring the underlying slide. Our proposed technique involves clustering the data and aggregating neighboring points of the same cluster into polygons.</p></div></div><script lang="js">
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