What problem does it solve?
This Skill simplifies the complex and time-consuming process of analyzing large digital pathology slides, enabling efficient tissue detection, tile extraction, and preprocessing for machine learning.
Core Features & Use Cases
- Slide Loading & Inspection: Easily load and inspect WSI properties.
- Tissue Detection & Masking: Automatically identify and segment tissue regions.
- Flexible Tile Extraction: Extract tiles using random, grid, or score-based methods.
- Image Filtering & Preprocessing: Apply various filters for stain normalization and artifact removal.
- Visualization Tools: Preview masks, tile locations, and extraction results.
- Use Case: Prepare a dataset for training a cancer detection model by extracting 512x512 pixel tiles from all tumor regions across hundreds of H&E stained slides.
Quick Start
Use the histolab skill to extract 100 random 512x512 tiles from the slide located at '/path/to/your/slide.svs'.