Evidence map›Paper›PMID 39669424›Full record

ArticleiScience2024

QuickVol: A lightweight browser tool for immersive visualizations of volumetric data.

Maxim Kuznetsov, Mircea Teodorescu, Mohammed A Mostajo-Radji, Sri Kurniawan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Maxim KuznetsovDepartment of Computational Media, University of California Santa Cruz, Santa Cruz, CA, USA.
Mircea TeodorescuGenomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA.
Mohammed A Mostajo-RadjiGenomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA.
Sri KurniawanDepartment of Computational Media, University of California Santa Cruz, Santa Cruz, CA, USA.

Funding

Nanoparticle Tracking Analyzer (NTA) for the Center for Live Cell GenomicsRM1HG011543 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI HAUSSLER, DAVID H, SALAMA, SOFIE REDA · 2021 to 2025
$12.0M
Data Resource and Administrative Coordination Center for the Scalable and Systematic Neurobiology of Psychiatric and Neurodevelopmental Disorder Risk Genes ConsortiumU24MH132628 · NIMH · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI DAVID H HAUSSLER, Tomasz Nowakowski · 2023 to 2026
$7.9M
NHGRI NIH HHS RM1 HG011543NIMH NIH HHS U24 MH132628
6 · The paper itself

Abstract

Volumetric layouts of data are becoming increasingly common in a number of fields. Visualizing these data often requires downloading a large suite of dedicated tools with a significant learning curve. This process can be overwhelming for students or new researchers looking to quickly visualize and showcase a volumetric dataset. QuickVol was developed as a system to allow for rapid viewing of volumetric data without requiring extra setup. Built on WebGL, our system can run on any modern web browser, including mobile browsers, and can work completely offline. Additionally, an experimental immersive hand-tracking feature is included, which allows for hands-free manipulation of the imported volume, along with a showcase mode for viewing with a virtual reality headset.

Indexed as

Applied sciencesComputer scienceSoftware engineering

Identifiers

PMID39669424
PMCPMC11635019

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.