Management of multi-resolution data in a mobile spatial information visualization system

2004 ◽  
Author(s):  
J.-M. Follin ◽  
A. Bouju ◽  
F. Bertrand ◽  
P. Boursier
Keyword(s):  
Information Visualization ◽  
Spatial Information ◽  
Visualization System ◽  
Resolution Data ◽  
Spatial Information Visualization

Research on open spatial information visualization system (OSIVS)

2006 ◽  
Author(s):  
Zhirui Hu ◽  
Qingyun Du ◽  
Yingjie Wang ◽  
Zhuoyuan Yu
Keyword(s):  
Information Visualization ◽  
Spatial Information ◽  
Visualization System ◽  
Spatial Information Visualization

DEVELOPMENT OF AN AR VISUALIZATION SYSTEM USING SPATIAL INFORMATION BASED ON SLAM

2017 ◽  
Vol 73 (2) ◽  
pp. II_48-II_54
Author(s):  
Nao IKEDA ◽  
Maiko HANADATE ◽  
Kazuo KASHIYAMA ◽  
Mao KURUMATANI ◽  
Takashi YOSHINAGA ◽  
...  
Keyword(s):  
Spatial Information ◽  
Visualization System

scholarly journals Spatially resolved transcriptomics in immersive environments

2022 ◽  
Vol 5 (1) ◽  
Author(s):  
Denis Bienroth ◽  
Hieu T. Nim ◽  
Dimitar Garkov ◽  
Karsten Klein ◽  
Sabrina Jaeger-Honz ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Spatial Information ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Immersive Environments ◽  
Visualization System ◽  
Head Mounted Display ◽  
Spatially Resolved ◽  
Expression Of Genes ◽  
Fish Tank

AbstractSpatially resolved transcriptomics is an emerging class of high-throughput technologies that enable biologists to systematically investigate the expression of genes along with spatial information. Upon data acquisition, one major hurdle is the subsequent interpretation and visualization of the datasets acquired. To address this challenge, VR-Cardiomicsis presented, which is a novel data visualization system with interactive functionalities designed to help biologists interpret spatially resolved transcriptomic datasets. By implementing the system in two separate immersive environments, fish tank virtual reality (FTVR) and head-mounted display virtual reality (HMD-VR), biologists can interact with the data in novel ways not previously possible, such as visually exploring the gene expression patterns of an organ, and comparing genes based on their 3D expression profiles. Further, a biologist-driven use-case is presented, in which immersive environments facilitate biologists to explore and compare the heart expression profiles of different genes.

Sign in / Sign up

Export Citation Format

Share Document