Evidence map›Paper›PMID 42329773›Full record

ArticleGigaScience2026

ScopeViewer: a browser-based solution for visualizing large biological images.

Danni Luo, Sophie Robertson, Yuanchun Zhan, Ruichen Rong, Shidan Wang, Xi Jiang, Sen Yang, Suzette Palmer, Peiran Quan, Hiroaki Kanzaki and 5 more

Abstract read
In one paragraph

Article in GigaScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Danni LuoQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390-8821, USA.
Sophie RobertsonPaul Allen School of Computer Science & Engineering, University of Washington, 185 E Stevens Way NE, Seattle, WA 98195, USA.
Yuanchun ZhanQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390-8821, USA.
Ruichen RongQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390-8821, USA.ORCID 0000-0002-3205-8915
Shidan WangQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390-8821, USA.ORCID 0000-0002-0001-3261
Xi JiangQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390-8821, USA.ORCID 0000-0002-2754-0862
Sen YangQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390-8821, USA.
Suzette PalmerQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390-8821, USA.ORCID 0000-0001-8376-3633
Peiran QuanQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390-8821, USA.
Hiroaki KanzakiDepartment of Internal Medicine, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390-9030, USA.
Yujin HoshidaDepartment of Internal Medicine, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390-9030, USA.
Liwei JiaDepartment of Pathology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390-9072, USA.
Qiwei LiDepartment of Mathematics Sciences, The University of Texas at Dallas Mathematical Sciences, FO35 800 W. Campbell Road Richardson, TX 75080-3021, USA.ORCID 0000-0002-1020-3050
Guanghua XiaoQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390-8821, USA.ORCID 0000-0001-9387-9883
Xiaowei ZhanQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390-8821, USA.ORCID 0000-0002-6249-7193

Funding

Methods to unveil sex-specific genetic architecture in trans-ancestry meta-analysisR01HG011035 · NHGRI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI Bibo Jiang · 2022 to 2026
$3.8M
Deep Learning Image Analysis Algorithms to Improve Oral Cancer Risk Assessment for Oral Potentially Malignant DisordersR01DE030656 · NIDCR · YALE UNIVERSITY · PI PICKERING, CURTIS, XIAO, GUANGHUA · 2021 to 2025
$3.4M
Developing computational algorithms for histopathological image analysisR01GM140012 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI XIAO, GUANGHUA · 2021 to 2024
$1.6M
Informatics Tools To Analyze And Model Whole Slide Image Data At The Single Cell LevelU01CA249245 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI XIAO, GUANGHUA · 2021 to 2023
$1.5M
Antibiotic Resistance Determination Utilizing Machine LearningU01AI169298 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI GREENBERG, DAVID ELIHU, ZHAN, XIAOWEI · 2022 to 2024
$1.4M
Integrative Analysis to Identify Regulation Targets of RNA-Binding ProteinsR01GM115473 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI XIE, YANG · 2016 to 2019
$1.3M
Cancer Prevention and Research Institute of Texas RP230330NCI NIH HHS U01 CA249245NHGRI NIH HHS R01 HG011035NIAID NIH HHS U01 AI169298NIDCR NIH HHS R01 DE030656NIGMS NIH HHS R01 GM115473NIGMS NIH HHS R01 GM140012NIH HHS 1U01CA249245NIH HHS R01DE030656NIH HHS R01GM115473NIH HHS R01GM140012NIH HHS R01HG011035NIH HHS U01AI169298
6 · The paper itself

Abstract

backgroundSpatial transcriptomics (ST) enables a high-resolution interrogation of molecular characteristics within specific spatial contexts and tissue morphology. Despite its potential, visualization of ST data is a challenging task due to the complexities in handling, sharing, and visualizing large image datasets together with molecular information.

resultsWe introduce ScopeViewer, a browser-based software designed to overcome these challenges. ScopeViewer offers the following functionalities: (1) it visualizes large image data and associated annotations at various zoom levels, allowing for intricate exploration of the data; (2) it enables dual interactive viewing of the original images along with their annotations, providing a comprehensive understanding of the context; (3) it displays spatial molecular features with optimized bandwidth, ensuring a smooth user experience; and (4) it bolsters data security by circumventing data transfers. CONCLUSIONS AND DISCUSSIONS: ScopeViewer offers the research community a convenient, powerful, and secure software for high-resolution images, including pathology images and ST. It serves as an open-source platform for imaging-based research. Future enhancements and new features will be shared on GitHub by the creators and are open for contributions from other researchers. ScopeViewer is freely available on the website at https://cdc.biohpc.swmed.edu/scopeviewer.

Indexed as

Computational BiologyImage Processing, Computer-AssistedSoftwareWeb BrowserAnimalsHumansSpatial TranscriptomicsUser-Computer InterfaceData privacyDigital pathologyGene expression profilingH&E stainingMASLDSpatial transcriptomicsTumor microenvironmentWeb-based visualization

Identifiers

PMID42329773
PMCPMC13369961

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.