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  <doc>
    <id>10058</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Fishexplorer: A multimodal cellular atlas platform for neuronal circuit dissection in larval zebrafish</title>
    <abstract language="eng">Understanding how neural circuits give rise to behavior requires comprehensive knowledge of neuronal morphology, connectivity, and function. Atlas platforms play a critical role in enabling the visualization, exploration, and dissemination of such information. Here, we present FishExplorer, an interactive and expandable community platform designed to integrate and analyze multimodal brain data from larval zebrafish. FishExplorer supports datasets acquired through light microscopy (LM), electron microscopy (EM), and X-ray imaging, all co-registered within a unified spatial coordinate system which enables seamless comparison of neuronal morphologies and synaptic connections. To further assist circuit analysis, FishExplorer includes a suite of tools for querying and visualizing connectivity at the whole-brain scale. By integrating data from recent large-scale EM reconstructions (presented in companion studies), FishExplorer enables researchers to validate circuit models, explore wiring principles, and generate new hypotheses. As a continuously evolving resource, FishExplorer is designed to facilitate collaborative discovery and serve the growing needs of the teleost neuroscience community.</abstract>
    <parentTitle language="eng">bioRxiv</parentTitle>
    <identifier type="doi">10.1101/2025.07.14.664689</identifier>
    <enrichment key="SubmissionStatus">under review</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="PeerReviewed">no</enrichment>
    <author>Sumit Kumar Vohra</author>
    <submitter>Sumit Kumar vohra</submitter>
    <author>Maren Eberle</author>
    <author>Jonathan Boulanger-Weill</author>
    <author>Mariela D. Petkova</author>
    <author>Gregor F. P. Schuhknecht</author>
    <author>Kristian J. Herrera</author>
    <author>Florian Kämpf</author>
    <author>Virginia M. S. Ruetten</author>
    <author>Jeff W. Lichtman</author>
    <author>Florian Engert</author>
    <author>Owen Randlett</author>
    <author>Armin Bahl</author>
    <author>Yasuko Isoe</author>
    <author>Hans-Christian Hege</author>
    <author>Daniel Baum</author>
    <collection role="persons" number="baum">Baum, Daniel</collection>
    <collection role="persons" number="hege">Hege, Hans-Christian</collection>
    <collection role="projects" number="MultiscaleVirtualFish">MultiscaleVirtualFish</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
    <collection role="persons" number="vohra">Vohra, Sumit Kumar</collection>
  </doc>
</export-example>
