ArticleBMC cancer2021
Virtual reality for 3D histology: multi-scale visualization of organs with interactive feature exploration.
Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed.
- Multiscale harmonization, semantic integration, and immersive exploration of single-cell data in support of novel biological insights.bioRxiv : the preprint server for biology · 2026Article
- SparStVR - exploring sparse 3D histology data in virtual reality.Communications engineering · 2026Article
- The Augmented Cytopathologist: A Conceptual Exploratory Narrative Review on Immersive and Vision-Language Models Tools in Digital Pathology.Journal of imaging · 2026Review
- The potential of x-ray virtual histology in the diagnosis of skin tumors.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024Article
- Blending space and time to talk about cancer in extended reality.NPJ digital medicine · 2024Review
- An end-to-end workflow for nondestructive 3D pathology.Nature protocols · 2024Review
- Engineering the future of 3D pathology.The journal of pathology. Clinical research · 2024Article
- An end-to-end workflow for non-destructive 3D pathology.bioRxiv : the preprint server for biology · 2023Article
- Virtual Models Using Augmented Reality May Provide a Suitable Supplement, Although Not a Physical Specimen Replacement, in Pathology Education.Medical science educator · 2023Article
- The HRA Organ Gallery Affords Immersive Superpowers for Building and Exploring the Human Reference Atlas with Virtual Reality.bioRxiv : the preprint server for biology · 2023Article
- The HRA Organ Gallery affords immersive superpowers for building and exploring the Human Reference Atlas with virtual reality.Frontiers in bioinformatics · 2023Article
- A Brave New World: Virtual Reality and Augmented Reality in Systems Biology.Frontiers in bioinformatics · 2022Article
- Spatial analysis of histology in 3D: quantification and visualization of organ and tumor level tissue environment.Heliyon · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundVirtual reality (VR) enables data visualization in an immersive and engaging manner, and it can be used for creating ways to explore scientific data. Here, we use VR for visualization of 3D histology data, creating a novel interface for digital pathology to aid cancer research.
methodsOur contribution includes 3D modeling of a whole organ and embedded objects of interest, fusing the models with associated quantitative features and full resolution serial section patches, and implementing the virtual reality application. Our VR application is multi-scale in nature, covering two object levels representing different ranges of detail, namely organ level and sub-organ level. In addition, the application includes several data layers, including the measured histology image layer and multiple representations of quantitative features computed from the histology.
resultsIn our interactive VR application, the user can set visualization properties, select different samples and features, and interact with various objects, which is not possible in the traditional 2D-image view used in digital pathology. In this work, we used whole mouse prostates (organ level) with prostate cancer tumors (sub-organ objects of interest) as example cases, and included quantitative histological features relevant for tumor biology in the VR model.
conclusionsOur application enables a novel way for exploration of high-resolution, multidimensional data for biomedical research purposes, and can also be used in teaching and researcher training. Due to automated processing of the histology data, our application can be easily adopted to visualize other organs and pathologies from various origins.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.