Learn to process whole slide images using Python in this comprehensive tutorial. Explore techniques for H&E normalization and signal separation using openslide to read and manipulate whole slide images. Extract lower resolution versions for normalization and separate H and E signals. Dive into tile-based processing for entire whole slide images, including extraction, processing, and saving. Gain insights into slide properties, dimensions, and statistical measures. Access accompanying code on GitHub and explore additional resources for deeper understanding of histology slide normalization and nucleus detection in histopathology images. Note that image pyramid reconstruction is not covered, but suggestions for further exploration are provided.
Overview
Syllabus
Introduction
Paper
Importing libraries
Extracting slide properties
Printing slide dimensions
Mean and standard deviation
Reading the original tiles
Reading individual tiles
Taught by
DigitalSreeni