The size and complexity of data in the BICAN ecosystem necessitates presenting the data in a manner that a user can generate overview visualizations of the whole dataset, but also enables “detail on demand” data views based on individual user exploration trajectories across multimodal data. While web-based platforms provide enterprise scale data hosting and overview visualization, they offer limited functionality for fast, interactive visual exploration that requires on-the-fly local compute across multiple datasets. Cytosplore Viewer leverages fast local compute and compressed data access for the linked exploration of multi-modal spatial and single cell datasets. Specific focus is to complement the BKP functionality with low-level detail analyses across multiple datasets.
Cytosplore Viewer is being developed in close collaboration between the Allen Institute for Brain Science, the Leiden Computational Biology Center, the Division of Image Processing at the Leiden University Medical Center, and the Computer Graphics and Visualization Group at the TU Delft. Data displayed in this viewer was downloaded and adapted from the Allen Cell Types Database.
