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Virtual reality assisted microscopy data visualization and colocalization analysis

BACKGROUND: Confocal microscopes deliver detailed three-dimensional data and are instrumental in biological analysis and research. Usually, this three-dimensional data is rendered as a projection onto a two-dimensional display. We describe a system for rendering such data using a modern virtual real...

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Autores principales: Theart, Rensu P., Loos, Ben, Niesler, Thomas R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333173/
https://www.ncbi.nlm.nih.gov/pubmed/28251867
http://dx.doi.org/10.1186/s12859-016-1446-2
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author Theart, Rensu P.
Loos, Ben
Niesler, Thomas R.
author_facet Theart, Rensu P.
Loos, Ben
Niesler, Thomas R.
author_sort Theart, Rensu P.
collection PubMed
description BACKGROUND: Confocal microscopes deliver detailed three-dimensional data and are instrumental in biological analysis and research. Usually, this three-dimensional data is rendered as a projection onto a two-dimensional display. We describe a system for rendering such data using a modern virtual reality (VR) headset. Sample manipulation is possible by fully-immersive hand-tracking and also by means of a conventional gamepad. We apply this system to the specific task of colocalization analysis, an important analysis tool in biological microscopy. We evaluate our system by means of a set of user trials. RESULTS: The user trials show that, despite inaccuracies which still plague the hand tracking, this is the most productive and intuitive interface. The inaccuracies nevertheless lead to a perception among users that productivity is low, resulting in a subjective preference for the gamepad. Fully-immersive manipulation was shown to be particularly effective when defining a region of interest (ROI) for colocalization analysis. CONCLUSIONS: Virtual reality offers an attractive and powerful means of visualization for microscopy data. Fully immersive interfaces using hand tracking show the highest levels of intuitiveness and consequent productivity. However, current inaccuracies in hand tracking performance still lead to a disproportionately critical user perception. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-016-1446-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-53331732017-03-06 Virtual reality assisted microscopy data visualization and colocalization analysis Theart, Rensu P. Loos, Ben Niesler, Thomas R. BMC Bioinformatics Research BACKGROUND: Confocal microscopes deliver detailed three-dimensional data and are instrumental in biological analysis and research. Usually, this three-dimensional data is rendered as a projection onto a two-dimensional display. We describe a system for rendering such data using a modern virtual reality (VR) headset. Sample manipulation is possible by fully-immersive hand-tracking and also by means of a conventional gamepad. We apply this system to the specific task of colocalization analysis, an important analysis tool in biological microscopy. We evaluate our system by means of a set of user trials. RESULTS: The user trials show that, despite inaccuracies which still plague the hand tracking, this is the most productive and intuitive interface. The inaccuracies nevertheless lead to a perception among users that productivity is low, resulting in a subjective preference for the gamepad. Fully-immersive manipulation was shown to be particularly effective when defining a region of interest (ROI) for colocalization analysis. CONCLUSIONS: Virtual reality offers an attractive and powerful means of visualization for microscopy data. Fully immersive interfaces using hand tracking show the highest levels of intuitiveness and consequent productivity. However, current inaccuracies in hand tracking performance still lead to a disproportionately critical user perception. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-016-1446-2) contains supplementary material, which is available to authorized users. BioMed Central 2017-02-15 /pmc/articles/PMC5333173/ /pubmed/28251867 http://dx.doi.org/10.1186/s12859-016-1446-2 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Theart, Rensu P.
Loos, Ben
Niesler, Thomas R.
Virtual reality assisted microscopy data visualization and colocalization analysis
title Virtual reality assisted microscopy data visualization and colocalization analysis
title_full Virtual reality assisted microscopy data visualization and colocalization analysis
title_fullStr Virtual reality assisted microscopy data visualization and colocalization analysis
title_full_unstemmed Virtual reality assisted microscopy data visualization and colocalization analysis
title_short Virtual reality assisted microscopy data visualization and colocalization analysis
title_sort virtual reality assisted microscopy data visualization and colocalization analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333173/
https://www.ncbi.nlm.nih.gov/pubmed/28251867
http://dx.doi.org/10.1186/s12859-016-1446-2
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