ProteinScanAR - An Augmented Reality Web Application for High School Education in Biomolecular Life Sciences

Stefan Nickels, Hienke Sminia, Sabine C. Mueller, Bas Kools, Anna Katharina Dehof, Hans-Peter Lenhof, A. Hildebrandt
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引用次数: 14

Abstract

Understanding protein structures is a crucial step in creating molecular insight for researchers as well as students and pupils. The enormous scaling gap between an atomic point of view and objects in daily life hampers developing an intuitive relation between them. Especially for high school students, it can be difficult to understand the spatial relations of a protein structure. Due to lack of direct imaging techniques, molecules can only be explored by studying abstract molecular models. Here, the use of Augmented reality (AR) techniques has proven to strongly improve structural perception. In this work we present ProteinScanAR, an augmented reality framework for biomolecular education that allows connecting virtual and real worlds intuitively, and thus enables focusing on the scientific or educational content. Special attention was taken to guarantee implementational and technical requirements as general and simple as possible to alleviate application in nonexpert computer settings. The ProteinScanAR framework is freely available under the GNU Public License (GPL).
ProteinScanAR -生物分子生命科学高中教育的增强现实网络应用
了解蛋白质结构对于研究人员以及学生和学生来说是创造分子洞察力的关键一步。原子观点和日常生活中物体之间的巨大尺度差距阻碍了它们之间建立一种直观的关系。特别是对高中生来说,很难理解蛋白质结构的空间关系。由于缺乏直接成像技术,只能通过研究抽象的分子模型来探索分子。在这里,增强现实(AR)技术的使用已被证明可以有力地改善结构感知。在这项工作中,我们提出了ProteinScanAR,这是一种用于生物分子教育的增强现实框架,可以直观地连接虚拟世界和现实世界,从而使人们能够专注于科学或教育内容。特别注意确保执行和技术要求尽可能一般和简单,以减轻在非专家计算机环境中的应用。ProteinScanAR框架是在GNU公共许可证(GPL)下免费提供的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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