Data for: Image processing tools for petabyte-scale light sheet microscopy data (Part 2/2)

Light sheet microscopy is a powerful technique for high-speed 3D imaging
of subcellular dynamics and large biological specimens. However, it often
generates datasets ranging from hundreds of gigabytes to petabytes in size
for a single experiment. Conventional computational tools process such
images far slower than the time to acquire them and often fail outright
due to memory limitations. To address these challenges, we present
PetaKit5D, a scalable software solution for efficient petabyte-scale light
sheet image processing. This software incorporates a suite of commonly
used processing tools that are memory and performance-optimized. Notable
advancements include rapid image readers and writers, fast and
memory-efficient geometric transformations, high-performance
Richardson-Lucy deconvolution, and scalable Zarr-based stitching. These
features outperform state-of-the-art methods by over one order of
magnitude, enabling the processing of petabyte-scale image data at the
full teravoxel rates of modern imaging cameras. The software opens new
avenues for biological discoveries through large-scale imaging
experiments.