Spatially resolved transcriptomics in immersive environments
| Autor: | Denis Bienroth, Hieu T. Nim, Dimitar Garkov, Karsten Klein, Sabrina Jaeger-Honz, Mirana Ramialison, Falk Schreiber |
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| Rok vydání: | 2021 |
| Předmět: |
Visual Arts and Performing Arts
NC1-1940 Spatially-resolved transcriptomics Spatial transcriptomics Virtual reality Fish tank virtual reality Head-mounted display Immersive analytics Immersive environment Computer applications to medicine. Medical informatics R858-859.7 Medicine (miscellaneous) Computer Graphics and Computer-Aided Design Virtual reality Drawing. Design. Illustration QA76.75-76.765 Spatial transcriptomics Immersive analytics ComputingMethodologies_PATTERNRECOGNITION Spatially-resolved transcriptomics Computer Science (miscellaneous) Immersive environment Original Article Fish tank virtual reality Computer Vision and Pattern Recognition Computer software Head-mounted display ddc:004 Software |
| Zdroj: | Visual Computing for Industry, Biomedicine, and Art Visual Computing for Industry, Biomedicine, and Art, Vol 5, Iss 1, Pp 1-13 (2022) |
| ISSN: | 2524-4442 |
| Popis: | Spatially 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. |
| Databáze: | OpenAIRE |
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