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3D Molecules Visualization with XRmol: An AR Web Tool for Mobile Devices

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Virtual Reality and Mixed Reality (EuroXR 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14410))

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Abstract

We present XRmol, a prototype web application, based on the WebXR standard, for visualizing 3D proteins and nucleic acids. The work represents a contribution to the investigation of the potential stemming from the AR paradigm coupled with the use of personal smartphones and features a number of solutions for improving access, portability, and use in different contexts. A first pilot study with 14 volunteers outlines its potential for integration into daily lab activities and use in educational contexts.

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Authors and Affiliations

  1. Università Ca’ Foscari Venezia, Venice, Italy

    Sara Corazza, Fabio Pittarello & Marta Simeoni

Authors
  1. Sara Corazza
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  2. Fabio Pittarello
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  3. Marta Simeoni
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Corresponding author

Correspondence to Fabio Pittarello .

Editor information

Editors and Affiliations

  1. University of Bremen, Bremen, Germany

    Gabriel Zachmann

  2. Poznań University of Economics and Business, Poznań, Poland

    Krzysztof Walczak

  3. TNO, The Hague, The Netherlands

    Omar A. Niamut

  4. University of Georgia, Athens, GA, USA

    Kyle Johnsen

  5. Simon Fraser University, Surrey, BC, Canada

    Wolfgang Stuerzlinger

  6. LabLENI, Universitat Politècnica de Valencia, Valencia, Spain

    Mariano Alcañiz-Raya

  7. University of Central Florida, Orlando, FL, USA

    Greg Welch

  8. Université Paris-Saclay, CNRS, Orsay, France

    Patrick Bourdot

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Corazza, S., Pittarello, F., Simeoni, M. (2023). 3D Molecules Visualization with XRmol: An AR Web Tool for Mobile Devices. In: Zachmann, G., et al. Virtual Reality and Mixed Reality. EuroXR 2023. Lecture Notes in Computer Science, vol 14410. Springer, Cham. https://doi.org/10.1007/978-3-031-48495-7_9

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  • DOI: https://doi.org/10.1007/978-3-031-48495-7_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-48494-0

  • Online ISBN: 978-3-031-48495-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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