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<!doctype html>
<html>
<head>
<metacharset="UTF-8">
<metaname="viewport" content="width=device-width, initial-scale=1.0">
<linkhref="./style/output.css" rel="stylesheet">
</head>
<body>
<divclass="max-w-7xl mx-auto px-2 sm:px-6 lg:px-8">
<divclass="relative flex items-end justify-between h-52">
<divclass="flex-1 flex items-end justify-center sm:items-stretch sm:justify-start">
<divclass="flex-shrink-0 flex items-end ">
<imgclass="block h-36 w-auto" src="img/logo.png" alt="Workflow">
<!-- <span class="text-xl">DataVis Lab</span> -->
</div>
<divclass="flex items-end sm:block sm:ml-6 px-10">
<divclass="flex h-36 space-x-4 items-end">
<ahref="index.html" class="text-gray-900 hover:bg-gray-900 hover:text-amber-500 px-3 py-2 rounded-md text-lg font-medium no-underline" >Home</a>
<ahref="team.html" class="text-gray-900 hover:bg-gray-900 hover:text-amber-500 px-3 py-2 rounded-md text-lg font-medium no-underline">Team</a>
<ahref="papers.html" class="text-gray-900 hover:bg-gray-900 hover:text-amber-500 px-3 py-2 rounded-md text-lg font-medium no-underline">Publications</a>
<ahref="#" class="bg-amber-500 px-3 py-2 rounded-md text-lg font-medium no-underline">Software</a>
</div>
</div>
</div>
</div>
</div>
<divclass="max-w-7xl mx-auto p-10 sm:px-6 lg:px-8">
<divclass="grid grid-cols-3 gap-4">
<divclass="relative rounded-sm border border-gray-200 bg-white shadow-lg">
<imgsrc="img/papers/topoembedding.png" class="h-28 border-gray-200 border-solid border-2 absolute top-0 m-4 z-30 absolute grayscale hover:grayscale-0 hover:shadow-lg" alt="">
<divclass="text-right p-4">
<spanclass="text-xs text-gray-500 tracking-widest uppercase">Vis Tool</span>
</div>
<divclass="flex items-center relative">
<divclass="border-t border-gray-200 z-20 w-full"></div>
</div>
<divclass="px-2 pb-4 pt-14">
<pclass="text-gray-600 text-xs pl-2 m-3">
<h2class="text-gray-800 text-xl font-bold pt-5 m-3 pl-2">TopoEmbedding</h2>
</p>
<pclass="text-gray-600 text-xs pl-2 mx-3 mb-2 text-justify">
Existing software libraries for Topological Data Analysis (TDA) offer limited support for interactive visualization. Most libraries only allow to visualize topological descriptors (e.g., persistence diagrams), and lose the connection with the original domain of data. This makes it challenging for users to interpret the results of a TDA pipeline in an exploratory context.
</p>
<pclass="text-gray-600 text-xs pl-2 mx-3 mb-2 text-justify">
TopoEmbedding is a web-based tool that simplifies the interactive visualization and analysis of persistence-based descriptors. TopoEmbedding allows non-experts in TDA to explore similarities and differences found by TDA descriptors with simple yet effective visualization techniques.
</p>
<pclass="text-gray-600 text-xs pl-2 mx-3 mb-10 text-justify">
An interactive showcase of TopoEmbedding can be accessed <ahref="https://davislab.github.io/TopoEmbedding/">here</a>.
</p>
</div>
<divclass="absolute bottom-0 right-0 mr-3">
<ahref="https://github.com/DaVisLab/TopoEmbedding"><imgsrc="img/web.svg" class="w-8 pb-3 tracking-widest inline "alt=""></a>
<ahref="https://davislab.github.io/TopoEmbedding/"><imgsrc="img/github.svg" class="w-8 pb-3 tracking-widest inline "alt=""></a>
</div>
</div>
<divclass="relative rounded-sm border border-gray-200 bg-white shadow-lg">
<imgsrc="img/papers/celltrack.png" class="h-28 border-gray-200 border-solid border-2 absolute top-0 m-4 z-30 absolute grayscale hover:grayscale-0 hover:shadow-lg" alt="">
<divclass="text-right p-4">
<spanclass="text-xs text-gray-500 tracking-widest uppercase">Vis Tool</span>
</div>
<divclass="flex items-center relative">
<divclass="border-t border-gray-200 z-20 w-full"></div>
</div>
<divclass="px-2 pb-4 pt-14">
<pclass="text-gray-600 text-xs pl-2 m-3">
<h2class="text-gray-800 text-xl font-bold pt-5 m-3 pl-2">CellTrackViz</h2>
</p>
<pclass="text-gray-600 text-xs pl-2 mx-3 mb-2 text-justify">
CellTrackViz allows to visualize the result of cell tracking algorithms interactively investigating their performance.
</p>
<pclass="text-gray-600 text-xs pl-2 mx-3 mb-2 text-justify">
In our Eurovis paper we illustrate the importance of analyzing cell tracking algorithm performance in order to pick the best suited approach based on the biologists' need.
</p>
<pclass="text-gray-600 text-xs pl-2 mx-3 mb-10 text-justify">
An interactive showcase of CellTrackViz can be accessed <ahref="https://davislab.github.io/CellTrackVis/">here</a>.
</p>
</div>
<divclass="absolute bottom-0 right-0 mr-3">
<ahref="https://davislab.github.io/CellTrackVis/"><imgsrc="img/web.svg" class="w-8 pb-3 tracking-widest inline "alt=""></a>
<ahref="https://github.com/DaVisLab/CellTrackVis"><imgsrc="img/github.svg" class="w-8 pb-3 tracking-widest inline "alt=""></a>
</div>
</div>
<divclass="relative rounded-sm border border-gray-200 bg-white shadow-lg">
<imgsrc="img/papers/topocluster-logo.png" class="h-28 border-gray-200 border-solid border-2 absolute top-0 m-4 z-30 absolute grayscale hover:grayscale-0 hover:shadow-lg" alt="">
<divclass="text-right p-4">
<spanclass="text-xs text-gray-500 tracking-widest uppercase">Data structure</span>
</div>
<divclass="flex items-center relative">
<divclass="border-t border-gray-200 z-20 w-full"></div>
</div>
<divclass="px-2 pb-4 pt-14">
<pclass="text-gray-600 text-xs pl-2 m-3">
<h2class="text-gray-800 text-xl font-bold pt-5 m-3 pl-2">TopoCluster</h2>
</p>
<pclass="text-gray-600 text-xs pl-2 mx-3 mb-2 text-justify">
TopoCluster is a new block-based data structure for the efficient encoding and processing of irregular data.
The data structure provides efficient computation of mesh connectivity with a low memory footprint.
</p>
<pclass="text-gray-600 text-xs pl-2 mx-3 mb-10 text-justify">
TopoCluster can be used as a standalone C++ library, or from within the Topology ToolKit <ahref="https://topology-tool-kit.github.io/">(TTK)</a>.
The transparent integration allows to run any plugin of TTK using TopoCluster saving up to an order of magnitude of memory.
</p>
</div>
<divclass="absolute bottom-0 right-0 mr-3">
<ahref="https://davislab.github.io/TopoCluster/"><imgsrc="img/web.svg" class="w-8 pb-3 tracking-widest inline "alt=""></a>
<ahref="https://github.com/DaVisLab/TopoCluster"><imgsrc="img/github.svg" class="w-8 pb-3 tracking-widest inline "alt=""></a>
</div>
</div>
<divclass="relative rounded-sm border border-gray-200 bg-white shadow-lg">
<imgsrc="img/papers/cycles-logo.png" class="h-28 border-gray-200 border-solid border-2 absolute top-0 m-4 z-30 absolute grayscale hover:grayscale-0 hover:shadow-lg" alt="">
<divclass="text-right p-4">
<spanclass="text-xs text-gray-500 tracking-widest uppercase">Algorithm</span>
</div>
<divclass="flex items-center relative">
<divclass="border-t border-gray-200 z-20 w-full"></div>
</div>
<divclass="px-2 pb-4 pt-14">
<pclass="text-gray-600 text-xs pl-2 m-3">
<h2class="text-gray-800 text-xl font-bold pt-5 m-3 pl-2">Persistence Cycles</h2>
</p>
<pclass="text-gray-600 text-xs pl-2 mx-3 mb-2 text-justify">
The persistence cycles toolbox implements an efficient algorithm for computing representative cycles of persistent homology.
</p>
<pclass="text-gray-600 text-xs pl-2 mx-3 mb-2 text-justify">
In our associated <ahref="http://fiurici.people.clemson.edu/papers/tvcg2021-2.pdf">TVCG paper</a> we illustrate the importance of rendering persistence cycles when analyzing scalar fields, and we discuss the advantages that our approach provides
compared to other techniques in topology-based visualization.
</p>
<pclass="text-gray-600 text-xs pl-2 mx-3 mb-10 text-justify">
This toolbox provides an efficient implementation of our approach , as a new module for the Topology Toolkit (<ahref="https://topology-tool-kit.github.io/">TTK</a>).
</p>
</div>
<divclass="absolute bottom-0 right-0 mr-3">
<ahref="https://davislab.github.io/PersistenceCycles/"><imgsrc="img/web.svg" class="w-8 pb-3 tracking-widest inline "alt=""></a>
<ahref="https://github.com/DaVisLab/PersistenceCycles"><imgsrc="img/github.svg" class="w-8 pb-3 tracking-widest inline "alt=""></a>
</div>
</div>
</div>
</div>
</body>
</html>