English

DeeperHistReg: Robust Whole Slide Images Registration Framework

Image and Video Processing 2024-04-24 v1 Computer Vision and Pattern Recognition Quantitative Methods

Abstract

DeeperHistReg is a software framework dedicated to registering whole slide images (WSIs) acquired using multiple stains. It allows one to perform the preprocessing, initial alignment, and nonrigid registration of WSIs acquired using multiple stains (e.g. hematoxylin \& eosin, immunochemistry). The framework implements several state-of-the-art registration algorithms and provides an interface to operate on arbitrary resolution of the WSIs (up to 200k x 200k). The framework is extensible and new algorithms can be easily integrated by other researchers. The framework is available both as a PyPI package and as a Docker container.

Keywords

Cite

@article{arxiv.2404.14434,
  title  = {DeeperHistReg: Robust Whole Slide Images Registration Framework},
  author = {Marek Wodzinski and Niccolò Marini and Manfredo Atzori and Henning Müller},
  journal= {arXiv preprint arXiv:2404.14434},
  year   = {2024}
}
R2 v1 2026-06-28T16:02:41.215Z