Interactive visualization of volumetric data with WebGL in real-time

2011 ◽  
Author(s):  
John Congote ◽  
Alvaro Segura ◽  
Luis Kabongo ◽  
Aitor Moreno ◽  
Jorge Posada ◽  
...  
Keyword(s):  
Real Time ◽  
Interactive Visualization ◽  
Volumetric Data

Real-time interactive visualization and manipulation of the volumetric data using GPU-based methods

2004 ◽  
Author(s):  
Carlos A. Dietrich ◽  
Luciana P. Nedel ◽  
Silvia D. Olabarriaga ◽  
Joao L. D. Comba ◽  
Dinamar J. Zanchet ◽  
...  
Keyword(s):  
Real Time ◽  
Interactive Visualization ◽  
Volumetric Data

Exploring 4D Image Sets Of Early Heart Development Using Gesture And An Immersive, Spatial Operating Environment

Leonardo ◽  
2021 ◽  
pp. 1-7
Author(s):  
John Carpenter ◽  
Rusty Lansford
Keyword(s):  
Real Time ◽  
Heart Development ◽  
New Technologies ◽  
Data Sets ◽  
Volumetric Data ◽  
Operating Environment ◽  
Human Scale ◽  
Gestural Interface ◽  
Hidden Patterns ◽  
Tissue Structures

Abstract Scientists today can collect more data than they can perceive using traditional visualization methods. New technologies and sensors allow researchers to gather dynamic, complex multi-dimensional data sets---all of which must be carefully studied to reveal their hidden patterns and narratives. The authors have utilized an immersive platform to design a new visualization for real-time, intuitive, spatial manipulations of time-based volumetric data sets via a wand-based gestural interface. The resulting work resolves microscopic tissue structures at a human scale in a room-based pixel space, facilitating research, discovery, and in-person teaching and collaboration.

Real-time discovery of hot routes on trajectory data streams using interactive visualization based on GPU

2018 ◽  
Vol 76 ◽  
pp. 129-141 ◽  
Author(s):  
George A.M. Gomes ◽  
Emanuele Santos ◽  
Creto A. Vidal ◽  
Ticiana L. Coelho da Silva ◽  
Jose Antonio F. Macedo
Keyword(s):  
Real Time ◽  
Data Streams ◽  
Interactive Visualization ◽  
Trajectory Data

scholarly journals scSVAS: CNV clonal visualization online platform for large scale single-cell genomics

2021 ◽  
Author(s):  
Lingxi Chen ◽  
Yuhao Qing ◽  
Ruikang Li ◽  
Chaohui Li ◽  
Hechen Li ◽  
...  
Keyword(s):  
Copy Number Variation ◽  
Single Cell ◽  
Real Time ◽  
Copy Number ◽  
Large Scale ◽  
Single Cell Analysis ◽  
Interactive Visualization ◽  
Cell Analysis ◽  
Single Cell Genomics ◽  
Number Variation

The recent advance of single-cell copy number variation analysis plays an essential role in addressing intra-tumor heterogeneity, identifying tumor subgroups, and restoring tumor evolving trajectories at single-cell scale. Pleasant visualization of copy number analysis results boosts productive scientific exploration, validation, and sharing. Several single-cell analysis figures have the effectiveness of visualizations for understanding single-cell genomics in published articles and software packages. However, they almost lack real-time interaction, and it is hard to reproduce them. Moreover, existing tools are time-consuming and memory-intensive when they reach large-scale single-cell throughputs. We present an online visualization platform, scSVAS, for real-time interactive single-cell genomics data visualization. scSVAS is specifically designed for large-scale single-cell analysis. Compared with other tools, scSVAS manifests the most comprehensive functionalities. After uploading the specified input files, scSVAS deploys the online interactive visualization automatically. Users may make scientific discoveries, share interactive visualization, and download high-quality publication-ready figures. scSVAS provides versatile utilities for managing, investigating, sharing, and publishing single-cell copy number variation profiles. We envision this online platform will expedite the biological understanding of cancer clonal evolution in single-cell resolution. All visualizations are publicly hosted at https://sc.deepomics.org.

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