Sample data acquired using the Zeiss lattice lightsheet microscope. The images are of human red blood cells acquired in the 488 channel. This dataset is associated with the software napari-lattice, which is a plugin for napari, an n-dimensional viewer in Python. Dimensions are in the format (Time, Channel, Z, Y, X) RBC_full_one_timepoint.czi: (1, 1, 834, 300, 2048) RBC_full_time_series.czi: (3, 1, 834, 300, 2048) RBC_medium_LLSZ.czi: (5, 1, 834, 297, 279) RBC_tiny.czi: (1, 1, 834, 118, 209) Voxel sizes in z, y and x respectively: ( 0.3, 0.1449922, 0.1449922) napari-lattice can process lattice lightsheet datasets skewed in the X or Y direction, and you can also create full analysis workflows in napari. For more information: https://github.com/BioimageAnalysisCoreWEHI/napari_lattice

{"references": ["Geoghegan, N.D., Evelyn, C., Whitehead, L.W. et al. 4D analysis of malaria parasite invasion offers insights into erythrocyte membrane remodeling and parasitophorous vacuole formation. Nat Commun 12, 3620 (2021). https://doi.org/10.1038/s41467-021-23626-7"]}