EBRAINS LocaliZoom serial section image viewer provides an intuitive way of navigating high resolution 2D image series coupled with segmentation overlay, from a web browser. At its core, it is a web-based pan-and-zoom 2D image viewer coupled with a volumetric atlas slicer, and a navigational aid showing the entire image series as a “filmstrip”. Building on the open standard Deep Zoom Image (DZI) format, it is able to efficiently visualise very large brain images in the gigapixel range, allowing to zoom from common, display-sized overview resolutions down to the microscopic resolution without downloading the underlying very large image dataset.
https://localiview.apps.ebrains.eu/
Version v0.9
https://localizoom.readthedocs.io/en/latest/
- Programming: Gergely Csucs
- Conception, design, validation: Maja Puchades, Sharon Yates, Jan Bjaalie.
MIT licence
LocaliZoom (RRID:SCR_023481)
- Puchades MA, Yates SC, Csucs G, Carey H, Balkir A, Leergaard TB, Bjaalie JG. Software and pipelines for registration and analyses of rodent brain image data in reference atlas space. Front Neuroinform. 2025 Sep 24;19:1629388. https://doi.org/10.3389/fninf.2025.1629388
Localizoom is developed by the Neural Systems Laboratory at the Institute of Basic Medical Sciences, University of Oslo, Norway. Localizoom was developed with support from the EBRAINS infrastructure, and funding from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under the Framework Partnership Agreement No. 650003 (HBP FPA) and the European Union’s Horizon Europe Programme for Research Infrastructures Grant Agreement No. 101147319 (EBRAINS 2.0).
Report issues here on github or email: [email protected]