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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,&nbsp;&nbsp;834, 300, 2048)</li> <li>RBC_full_time_series.czi: (3, 1,&nbsp;&nbsp;834, 300, 2048)</li> <li>RBC_medium_LLSZ.czi: (5, 1,&nbsp;&nbsp;834, 297, 279)</li> <li>RBC_tiny.czi:&nbsp; (1, 1,&nbsp;&nbsp;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.&nbsp;</p> <p>If you would like more PSFs, visit this comprehensive repo from EPFL: https://zenodo.org/records/14505724</p> <p>&nbsp;</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>&nbsp;</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

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