Evidence map›Paper›PMID 35775989›Full record

ArticleActa crystallographica. Section D, Structural biology2022

Development of CryoVR, a virtual reality training system for hands-on cryoEM operations.

Jiahui Dong, Daoyi Li, Kadir Ozcan, Dayu Wan, Wen Jiang, Yingjie Chen

Abstract read
In one paragraph

Article in Acta crystallographica. Section D, Structural biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. ManiLoco: A VR-Based Locomotion Method for Concurrent Object Manipulation.Proceedings of the ACM on computer graphics and interactive techniques · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jiahui DongComputer Graphics Technology, Purdue University, Knoy Hall Room 363, 401 North Grant Street, West Lafayette, IN 47907, USA.ORCID 0000-0001-9211-3149
Daoyi LiDepartment of Biological Sciences, Purdue University, 915 W. State Street, West Lafayette, IN 47907, USA.ORCID 0000-0003-2913-8049
Kadir OzcanDepartment of Biological Sciences, Purdue University, 915 W. State Street, West Lafayette, IN 47907, USA.ORCID 0000-0002-9337-9798
Dayu WanComputer Graphics Technology, Purdue University, Knoy Hall Room 363, 401 North Grant Street, West Lafayette, IN 47907, USA.ORCID 0000-0003-2104-0768
Wen JiangDepartment of Biological Sciences, Purdue University, 915 W. State Street, West Lafayette, IN 47907, USA.ORCID 0000-0002-1292-2411
Yingjie ChenComputer Graphics Technology, Purdue University, Knoy Hall Room 363, 401 North Grant Street, West Lafayette, IN 47907, USA.ORCID 0000-0001-6705-3535

Funding

Purdue University Molecular Biophysics Training ProgramT32GM132024 · NIGMS · PURDUE UNIVERSITY · PI Angeline Marie Lyon, John Tesmer · 2019 to 2026
$2.0M
Virtual Reality Augmented Hands-on Cryo-EM TrainingR25EY029127 · NEI · PURDUE UNIVERSITY · PI CHEN, YINGJIE, JIANG, WEN · 2018 to 2023
$761k
NEI NIH HHS R25 EY029127NIGMS NIH HHS T32 GM132024NIH HHS 1R25EY029127-01
6 · The paper itself

Abstract

Cryogenic electron microscopy (cryoEM) has emerged as a revolutionary method for solving high-resolution structures and studying the dynamics of macromolecular complexes and viruses in near-native states. However, the availability of the equipment, and the time and cost needed for training, severely limit the opportunities for training. To solve these problems, a virtual reality-based training system, CryoVR, has been developed to prepare trainees before operating real-world cryoEM equipment. This paper describes the design and assessment of CryoVR (available at https://www.purdue.edu/cryoVR), which helps users learn cryoEM experimental procedures in a virtual environment, allowing immersive training with step-by-step tutorials with vivid visual, audio and text guidance. Implemented as a training step before a novice user interacts with the expensive real-world cryoEM equipment, CryoVR can help users to become familiar with hands-on operational procedures through multiple training modules and earning certificates after passing the built-in Exam mode. Qualitative evaluation and feedback of CryoVR from users with various levels of cryoEM experience indicate the substantial value of CryoVR as a tool for a comprehensive cryoEM procedural training.

Indexed as

Virtual RealityVirusesMacromolecular SubstancesMicroscopy, ElectronUser-Computer InterfaceMacromolecular SubstancescryoEMCryoVRhuman–computer interactionstructural biologyvirtual realityvirtual reality training

Identifiers

PMID35775989
PMCPMC9248840

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.