Segmentation helps interpret imaging data in a biological context. With the development of powerful tools for automated segmentation, public repositories for imaging data have added support for sharing and visualizing segmentations, creating the need for interactive web-based visualization of 3D volume segmentations. To address the ongoing challenge of integrating and visualizing multimodal data, we developed Mol* Volumes and Segmentations (Mol*VS), which enables the interactive, web-based visualization of cellular imaging data supported by macromolecular data and biological annotations. Mol*VS is fully integrated into Mol* Viewer, which is already used for visualization by several public repositories. All EMDB and EMPIAR entries with segmentation datasets are accessible via Mol*VS, which supports the visualization of data from a wide range of electron and light microscopy experiments. Additionally, users can run a local instance of Mol*VS to visualize and share custom datasets in generic or application-specific formats including volumes in .ccp4, .mrc, and .map, and segmentations in EMDB-SFF .hff, Amira .am, iMod .mod, and Segger .seg. Mol*VS is open source and freely available at https://molstarvolseg.ncbr.muni.cz/.

Biological Data Management and Analysis Core Facility Centre for Structural Biology CEITEC Central European Institute of Technology Masaryk University 625 00 Brno Czech Republic

Department of Physical Chemistry Faculty of Science Palacký University Olomouc 779 00 Olomouc Czech Republic

Mol* Consortium San Diego CA 92109 USA

National Centre for Biomolecular Research Faculty of Science Masaryk University 625 00 Brno Czech Republic

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Visualizing Volumetric and Segmentation Data using Mol* Volumes & Segmentations 2.0