Evidence map›Paper›PMID 28866520›Full record

ArticleIEEE transactions on visualization and computer graphics2018

A Virtual Reality Visualization Tool for Neuron Tracing.

Will Usher, Pavol Klacansky, Frederick Federer, Peer-Timo Bremer, Aaron Knoll, Jeff Yarch, Alessandra Angelucci, Valerio Pascucci

Abstract read
In one paragraph

Article in IEEE transactions on visualization and computer graphics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. NeuRegenerate: A Framework for Visualizing Neurodegeneration.IEEE transactions on visualization and computer graphics · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Improving the Usability of Virtual Reality Neuron Tracing with Topological Elements.IEEE transactions on visualization and computer graphics · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Visualization of Neuronal Structures in Wide-Field Microscopy Brain Images.IEEE transactions on visualization and computer graphics · 2018
    Article
  16. 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

8 authors.

Will Usher
Pavol Klacansky
Frederick Federer
Peer-Timo Bremer
Aaron Knoll
Jeff Yarch
Alessandra Angelucci
Valerio Pascucci

Funding

University of Utah, Core Vision Research GrantP30EY014800 · NEI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI PAUL STEVEN BERNSTEIN · 2005 to 2026
$14.6M
Anatomical and functional organization of inter-areal feedback circuits in the visual cortex, and their impact on neuronal responsesR01EY026812 · NEI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI ANGELUCCI, ALESSANDRA · 2016 to 2025
$4.7M
Parallel pathways in visual cortex: functional connectivity of output pathways from area V1 to area V2R01EY019743 · NEI · UNIVERSITY OF UTAH · PI ANGELUCCI, ALESSANDRA · 2009 to 2020
$4.2M
Development of an integrated array for simultaneous optogenetic stimulation and electrical recording to study cortical circuit function in the non-human primate brainU01NS099702 · NINDS · UNIVERSITY OF UTAH · PI ANGELUCCI, ALESSANDRA, BLAIR, STEVEN M · 2016 to 2018
$2.4M
NEI NIH HHS P30 EY014800NEI NIH HHS R01 EY019743NEI NIH HHS R01 EY026812NINDS NIH HHS U01 NS099702
6 · The paper itself

Abstract

Tracing neurons in large-scale microscopy data is crucial to establishing a wiring diagram of the brain, which is needed to understand how neural circuits in the brain process information and generate behavior. Automatic techniques often fail for large and complex datasets, and connectomics researchers may spend weeks or months manually tracing neurons using 2D image stacks. We present a design study of a new virtual reality (VR) system, developed in collaboration with trained neuroanatomists, to trace neurons in microscope scans of the visual cortex of primates. We hypothesize that using consumer-grade VR technology to interact with neurons directly in 3D will help neuroscientists better resolve complex cases and enable them to trace neurons faster and with less physical and mental strain. We discuss both the design process and technical challenges in developing an interactive system to navigate and manipulate terabyte-sized image volumes in VR. Using a number of different datasets, we demonstrate that, compared to widely used commercial software, consumer-grade VR presents a promising alternative for scientists.

Indexed as

Computer GraphicsUser-Computer InterfaceHumansMicroscopyNeuroanatomyNeuronsVirtual RealityVision, Ocular

Identifiers

PMID28866520
PMCPMC5722662

What OpenQuestion holds

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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.