Datasets for napari-lattice: Lattice Lightsheet Analysis
<p>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.</p> <p>Dimensions are in the format (Time, Channel, Z, Y, X)</p> <ul> <li>RBC_full_one_timepoint.czi: (1, 1, 834, 300, 2048)</li> <li>RBC_full_time_series.czi: (3, 1, 834, 300, 2048)</li> <li>RBC_medium_LLSZ.czi: (5, 1, 834, 297, 279)</li> <li>RBC_tiny.czi: (1, 1, 834, 118, 209)</li> </ul> <p>Voxel sizes in z, y and x respectively: ( 0.3, 0.1449922, 0.1449922)</p> <p>We have updated the dataset with pointspread functions (PSFs) for each channel. These are Zeiss simulated ones. There is a czi version and a tiff version. </p> <p>If you would like more PSFs, visit this comprehensive repo from EPFL: https://zenodo.org/records/14505724</p> <p> </p> <p>napari-lattice can process lattice lightsheet datasets from Zeiss Lattice lightsheet 7. We have updated the interface and API. Visit:</p> <p>https://github.com/BioimageAnalysisCoreWEHI/napari_lattice</p> <p> </p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 8
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0