Spatially resolved transcriptomics in immersive environments

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BIENROTH, Denis, Hieu T. NIM, Dimitar GARKOV, Karsten KLEIN, Sabrina JAEGER-HONZ, Mirana RAMIALISON, Falk SCHREIBER, 2022. Spatially resolved transcriptomics in immersive environments. In: Visual computing for industry, biomedicine, and art. Springer. 5(1), 2. eISSN 2524-4442. Available under: doi: 10.1186/s42492-021-00098-6

@article{Bienroth2022-01-10Spati-56138, title={Spatially resolved transcriptomics in immersive environments}, year={2022}, doi={10.1186/s42492-021-00098-6}, number={1}, volume={5}, journal={Visual computing for industry, biomedicine, and art}, author={Bienroth, Denis and Nim, Hieu T. and Garkov, Dimitar and Klein, Karsten and Jaeger-Honz, Sabrina and Ramialison, Mirana and Schreiber, Falk}, note={Article Number: 2} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <dc:creator>Bienroth, Denis</dc:creator> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:contributor>Klein, Karsten</dc:contributor> <dcterms:title>Spatially resolved transcriptomics in immersive environments</dcterms:title> <dc:contributor>Garkov, Dimitar</dc:contributor> <dc:creator>Garkov, Dimitar</dc:creator> <dspace:hasBitstream rdf:resource=""/> <dc:contributor>Bienroth, Denis</dc:contributor> <bibo:uri rdf:resource=""/> <dc:rights>Attribution 4.0 International</dc:rights> <dcterms:issued>2022-01-10</dcterms:issued> <dc:creator>Klein, Karsten</dc:creator> <dc:contributor>Schreiber, Falk</dc:contributor> <dc:creator>Ramialison, Mirana</dc:creator> <dc:creator>Nim, Hieu T.</dc:creator> <dcterms:isPartOf rdf:resource=""/> <dcterms:available rdf:datatype="">2022-01-17T09:07:20Z</dcterms:available> <dc:creator>Schreiber, Falk</dc:creator> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:language>eng</dc:language> <dcterms:hasPart rdf:resource=""/> <dc:contributor>Nim, Hieu T.</dc:contributor> <dcterms:abstract xml:lang="eng">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-Cardiomics is 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.</dcterms:abstract> <dcterms:rights rdf:resource=""/> <dc:contributor>Ramialison, Mirana</dc:contributor> <dc:creator>Jaeger-Honz, Sabrina</dc:creator> <dspace:isPartOfCollection rdf:resource=""/> <dc:contributor>Jaeger-Honz, Sabrina</dc:contributor> <dc:date rdf:datatype="">2022-01-17T09:07:20Z</dc:date> </rdf:Description> </rdf:RDF>

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