Sequential Tissue Image Morphing and Registration
This project focuses on building an automated image processing pipeline to process, align, and morph consecutive slices of tissue samples from Whole Slide Images (WSI). By correcting structural deformations introduced during physical tissue sectioning and scanning, the pipeline is able to construct smooth intermediate representations (morphs) between sequential tissue layers. This approach helps in visualizing gradual morphological changes in biological tissues in 3D-like continuity. Authors Jedrzej Golaszewski Title MiMorph Status Completed Date Sep 2, 2025 Tech stack OpenSlide, scikit-image, OpenCV, SimpleITK, PyWavelets, Optuna, NumPy Links GitHub Pipeline Architecture The pipeline is split into four distinct stages, moving from raw slide extraction to the final morphed outputs. ...