| JOURNAL OF MOLECULAR BIOLOGY | 卷:431 |
| Virtual Reality: Beyond Visualization | |
| Article | |
| El Beheiry, Mohamed1,4  Doutreligne, Sebastien2,3  Caporal, Clement1,4  Ostertag, Cecilia1,4  Dahan, Maxime1,4  Masson, Jean-Baptiste2,3  | |
| [1] PSL Res Univ, Inst Curie, Phys Chim Curie, CNRS UMR 168, F-75005 Paris, France | |
| [2] Inst Pasteur, CNRS UMR 3571, Decis & Bayesian Computat, Paris, France | |
| [3] Inst Pasteur, USR 3756 IP CNRS, Ctr Biostat Bioinformat & Integrat Biol C3BI, Paris, France | |
| [4] UPMC Univ Paris 06, Sorbonne Univ, CNRS UMR 168, F-75005 Paris, France | |
| 关键词: virtual reality; microscopy; data visualization; image processing; human-in-the-loop; | |
| DOI : 10.1016/j.jmb.2019.01.033 | |
| 来源: Elsevier | |
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【 摘 要 】
Virtual reality (VR) has recently become an affordable technology. A wide range of options are available to access this unique visualization medium, from simple cardboard inserts for smartphones to truly advanced headsets tracked by external sensors. While it is now possible for any research team to gain access to VR, we can still question what it brings to scientific research. Visualization and the ability to navigate complex three-dimensional data are undoubtedly a gateway to many scientific applications; however, we are convinced that data treatment and numerical simulations, especially those mixing interactions with data, human cognition, and automated algorithms will be the future of VR in scientific research. Moreover, VR might soon merit the same level of attention to imaging data as machine learning currently has. In this short perspective, we discuss approaches that employ VR in scientific research based on some concrete examples. (C) 2019 Elsevier Ltd. All rights reserved.
【 授权许可】
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【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| 10_1016_j_jmb_2019_01_033.pdf | 408KB |
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