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Virtual reality for 3D histology: multi-scale visualization of organs with interactive feature exploration
Kaisa Liimatainen1, Leena Latonen2, Masi Valkonen1
1Faculty of Medicine and Health Technology, Tampere University, FI-33014, Tampere, Finland.
BMC Cancer
|October 23, 2021
Summary
Virtual reality (VR) offers immersive 3D histology data visualization for digital pathology. This novel interface aids cancer research by enabling interactive exploration of complex biological data.
Area of Science:
- Biomedical Engineering
- Digital Pathology
- Computational Biology
Background:
- Virtual reality (VR) provides immersive and engaging data visualization.
- VR facilitates novel methods for exploring scientific data.
- This study utilizes VR for visualizing 3D histology data, introducing a new digital pathology interface for cancer research.
Purpose of the Study:
- To develop a novel virtual reality interface for the visualization of 3D histology data.
- To enhance digital pathology workflows for cancer research.
- To create an interactive platform for exploring complex biological datasets.
Main Methods:
- 3D modeling of whole organs and embedded objects of interest.
- Integration of quantitative features and high-resolution histology image patches.
- Implementation of a multi-scale VR application with organ and sub-organ levels.
- Inclusion of data layers for histology images and quantitative features.
Main Results:
- An interactive VR application allowing users to customize visualization properties and interact with various data objects.
- Demonstration using whole mouse prostates with prostate cancer tumors as case studies.
- Incorporation of quantitative histological features relevant to tumor biology within the VR model.
- Enabled exploration beyond the limitations of traditional 2D digital pathology views.
Conclusions:
- The VR application offers a new method for exploring high-resolution, multidimensional biomedical data.
- The platform is suitable for teaching and researcher training in biomedical fields.
- Automated data processing allows for easy adaptation to visualize other organs and pathologies.

