lazyslide 0.5.0

Modularized and scalable whole slide image analysis

LazySlide

Modularized and scalable whole slide image analysis

LazySlide is a Python package for whole-slide image (WSI) processing. It is designed to be fast and memory-efficient, allowing users to work with large WSIs on modest hardware.

Highlights

• Multimodel analysis
• Transcriptomics integration
• scanpy-style API
• CLI and Nextflow support

Quick start

With few lines of code, you can quickly run preprocessing and feature extraction with LazySlide:

import lazyslide as zs

wsi = zs.datasets.sample()

# Pipeline
zs.pp.find_tissues(wsi)
zs.pp.tile_tissues(wsi, tile_px=256, mpp=0.5)
zs.tl.feature_extraction(wsi, model='resnet50')

# Access the features
features = wsi['resnet50_tiles']