Challenges of intracellular visualization using virtual and augmented reality

被引:1
|
作者
Valades-Cruz, Cesar Augusto [1 ,2 ]
Leconte, Ludovic [1 ,2 ]
Fouche, Gwendal [1 ,2 ,3 ]
Blanc, Thomas [4 ]
Van Hille, Nathan [5 ]
Fournier, Kevin [1 ,2 ,3 ]
Laurent, Tao [6 ]
Gallean, Benjamin [6 ]
Deslandes, Francois [7 ]
Hajj, Bassam [4 ]
Faure, Emmanuel [6 ]
Argelaguet, Ferran [3 ]
Trubuil, Alain [7 ]
Isenberg, Tobias [5 ]
Masson, Jean-Baptiste [8 ,9 ,10 ]
Salamero, Jean [1 ,2 ]
Kervrann, Charles [1 ,2 ]
机构
[1] Inria Ctr Rennes Bretagne Atlantique, SERPICO Project Team, Rennes, France
[2] Sorbonne Univ, PSL Res Univ, SERPICO STED Team, UMR144 CNRS Inst Curie, Paris, France
[3] Univ Rennes, Inria, CNRS, IRISA, Rennes, France
[4] Sorbonne Univ, Lab Physicochim, Inst Curie, PSL Res Univ,CNRS UMR168, Paris, France
[5] Univ Paris Saclay, CNRS, Inria, LISN, Orsay, France
[6] Univ Montpellier, LIRMM, CNRS, Montpellier, France
[7] Univ Paris Saclay, MaIAGE, INRAE, Jouy En Josas, France
[8] Univ Paris Cite, Decis & Bayesian Computat Dept, CNRS UMR 3571, Inst Pasteur, Paris, France
[9] Univ Paris Cite, Neurosci Dept, CNRS UMR 3571, Inst Pasteur, Paris, France
[10] Univ Paris Cite, Computat Biol Dept, CNRS UMR 3571, Inst Pasteur, Paris, France
来源
关键词
multi-dimensional biological data; virtual reality; augmented reality; intracellular imaging; bioimaging; DATA INTEGRATION; SELECTION; PLATFORM;
D O I
10.3389/fbinf.2022.997082
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Microscopy image observation is commonly performed on 2D screens, which limits human capacities to grasp volumetric, complex, and discrete biological dynamics. With the massive production of multidimensional images (3D + time, multi-channels) and derived images (e.g., restored images, segmentation maps, and object tracks), scientists need appropriate visualization and navigation methods to better apprehend the amount of information in their content. New modes of visualization have emerged, including virtual reality (VR)/augmented reality (AR) approaches which should allow more accurate analysis and exploration of large time series of volumetric images, such as those produced by the latest 3D + time fluorescence microscopy. They include integrated algorithms that allow researchers to interactively explore complex spatiotemporal objects at the scale of single cells or multicellular systems, almost in a real time manner. In practice, however, immersion of the user within 3D + time microscopy data represents both a paradigm shift in human-image interaction and an acculturation challenge, for the concerned community. To promote a broader adoption of these approaches by biologists, further dialogue is needed between the bioimaging community and the VR&AR developers.
引用
收藏
页数:9
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