SparStVR - exploring sparse 3D histology data in virtual reality

Visualization of three-dimensional image stacks from serial sectioned histology or from other modalities poses a challenge, and solutions are often limited to projections or to rotated views of the 3D stacks. Here, we present SparStVR, a virtual reality application for interactive 3D image data visualization. A virtual environment with textured 3D models and, when desired, embedded measurements is generated from a stack of labeled masks and stacks of color images. In addition, modeling whole sample from sample masks and embedding multimodal measurements from heatmaps are supported. The possibility to interactively and intuitively study 3D structures and measurements in virtual reality is a ground-breaking feature compared to traditional tools. SparStVR was designed especially for visualization of sparse 3D histology data, yet it can be used for any 3D image data with objects of interest to model. SparStVR enables discoveries from complex data of tissue structures and pathology in an unprecedented manner.

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Publication Details

Journal
Communications Engineering
Published
2026-03-13
DOI
https://doi.org/10.1038/s44172-026-00634-3
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00
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article

SparStVR - exploring sparse 3D histology data in virtual reality

Leena Latonen, Kaisa Liimatainen, Pekka Ruusuvuori
Communications Engineering
AI in cancer detection
article

SparStVR - exploring sparse 3D histology data in virtual reality

Leena Latonen, Kaisa Liimatainen, Pekka Ruusuvuori
article en

Abstract

Visualization of three-dimensional image stacks from serial sectioned histology or from other modalities poses a challenge, and solutions are often limited to projections or to rotated views of the 3D stacks. Here, we present SparStVR, a virtual reality application for interactive 3D image data visualization. A virtual environment with textured 3D models and, when desired, embedded measurements is generated from a stack of labeled masks and stacks of color images. In addition, modeling whole sample from sample masks and embedding multimodal measurements from heatmaps are supported. The possibility to interactively and intuitively study 3D structures and measurements in virtual reality is a ground-breaking feature compared to traditional tools. SparStVR was designed especially for visualization of sparse 3D histology data, yet it can be used for any 3D image data with objects of interest to model. SparStVR enables discoveries from complex data of tissue structures and pathology in an unprecedented manner.

Communications Engineering
Tampere University of Applied Sciences (FI), University of Turku (FI), Tampere University (FI), University of Eastern Finland (FI), Tampere University (FI)
Openalex Percentile: Top 28%
AI in cancer detection
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SparStVR - exploring sparse 3D histology data in virtual reality — Leena Latonen, Kaisa Liimatainen, et al. · Communications Engineering (2026) | TGRS Research Map | TGRS