3d Visualization
3d Visualization - Related Videos
11:29
Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis
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Cited by 15 •
2014
A new computational system featuring GPU-accelerated molecular dynamics simulation and 3D/VR visualization, analysis and manipulation of nanostructures has been implemented, representing a novel approach to advance materials research and promote innovative investigation and alternative methods to learn about material structures with dimensions invisible to the human eye.
09:23
Integrating Automated Simulation Workflows with 3D Visualization for Virtual Experiments in the Metaverse
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2026
A generalized, FAIR-compliant method is presented for domain-expert researchers seeking to integrate simulation and data-processing tools into automated workflows for 3D virtual experiments. A neutronics example demonstrates setting up a local Galaxy instance, wrapping OpenMC and file-conversion tools, launching workflows from Omniverse, and visualizing the converted 3D outputs.
08:51
Non-invasive 3D-Visualization with Sub-micron Resolution Using Synchrotron-X-ray-tomography
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Cited by 9 •
2008
We used synchrotron X-ray tomography at the European Synchrotron Radiation Facility (ESRF) to non-invasively produce 3D tomographic datasets with a pixel-resolution of 0.7µm. Using volume rendering software, this allows the reconstruction of internal structures in their natural state without the artefacts produced by histological sectioning.
08:03
Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization
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Cited by 9 •
2014
Accurate modeling of nanohelical structures is important for predictive simulation studies leading to novel nanotechnology applications. Currently, software packages and codes are limited in creating atomistic helical models. We present two procedures designed to create atomistic nanohelical models for simulations, and a graphical interface to enhance research through visualization.
09:22
3D Visualization of Retinal Vascular Pericytes in Mice by Immunostaining
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2024
The pericytes in retinal vasculature were examined by immunofluorescent staining with platelet-derived growth factor receptor β after retro-orbital injection of fluorescent tomato lectin. The labeled retina was further treated with the tissue-clearing method and whole mounted for visualizing the three-dimensional views of pericytes surrounding retinal vasculature under a confocal microscope.
FAQs
These elements determine how biological information is organized and perceived in the rendered model. Coordinates place features in space, surfaces give structures visible boundaries, colors distinguish components, and lighting makes form easier to inspect. Together, they influence how viewers recognize shape and spatial relationships, while adjustable viewpoints allow the same model to be examined from different directions.
Rotation lets users inspect a structure from multiple viewpoints, sectioning exposes internal regions, and volume display presents spatial content throughout a modeled object. These controls are especially useful when cells, tissues, organs, organisms, or biomolecular structures contain relationships that are difficult to interpret in a single two-dimensional image. The result is more flexible visual examination rather than a fixed view.
A single two-dimensional image may not clearly convey depth or the arrangement of neighboring features. A three-dimensional model enables viewers to examine shape and spatial relationships together, making biological organization easier to interpret. This added perspective supports analysis of structures that are difficult to understand in flat images, while preserving the ability to inspect the model from different viewpoints.
The process begins with imaging or molecular data that software organizes into a spatial model. Coordinates establish the positions of features, surfaces represent visible structure, and colors or lighting help distinguish and inspect modeled components. Rendering then produces the view, after which users can rotate, section, or display the volume to examine the biological organization represented by the data.
Researchers can use it when they need to analyze microscopy data, examine anatomical organization, or study biomolecular structures in three dimensions. It also supports quantitative study of biological organization, where spatial arrangement matters to interpretation. By presenting complex structures in an adjustable model, the approach can improve communication of findings and help guide subsequent experiments.
Interactive models give students and researchers a way to inspect cells, tissues, organs, organisms, and biomolecular structures that may be difficult to interpret in two-dimensional images. Adjustable viewpoints and sectioning make complex arrangements easier to discuss, while colors and rendered surfaces help communicate distinct features. These capabilities support anatomical education and clearer presentation of biological findings.