Image Registration: The Navigation System for Digital Pathology Diagnostics and Biomedical Research
Image registration is the automatic alignment of similar images such as consecutive tissue sections in pathology diagnostics and biomedical research. In a digital workflow, image registration allows pathologists to seamlessly switch between various stains, minimizing repetitive navigation tasks and thereby streamlining the diagnostic procedure. In research, it integrates direct and third-party information from differently stained slides, combining otherwise separate information in pharmacological studies and biomarker discovery. For this integration to work in practice, image registration must be robust against variations found in routine pathology images, such as differences in stain intensity and artifacts, to ensure widespread applicability. Diverse approaches are possible for registration: feature-based, intensity-based, deep learning, and combinations thereof. As computational pathology continues to advance, leveraging image registration technologies significantly improves diagnostic efficiency and accuracy, paving the way for enhanced patient outcomes and groundbreaking research discoveries.
Authors
- Daniel Budelmann (ORCID: https://orcid.org/0000-0001-6086-1222)
- Johannes Lotz (ORCID: https://orcid.org/0000-0003-3387-2596)
Publication Details
- Journal
- Trillium Pathology
- Published
- 2025-06-02
- DOI
- https://doi.org/10.47184/tp.2025.01.02
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00