Evidence map›Paper›PMID 37546786›Full record

ArticlebioRxiv : the preprint server for biology2023

ScopeViewer: A Browser-Based Solution for Visualizing Spatial Transcriptomics Data.

Danni Luo, Sophie Robertson, Yuanchun Zhan, Ruichen Rong, Shidan Wang, Xi Jiang, Sen Yang, Suzette Palmer, Liwei Jia, Qiwei Li and 2 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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

12 authors.

Danni LuoQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center.
Sophie RobertsonPaul Allen School of Computer Science & Engineering, University of Washington.
Yuanchun ZhanQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center.
Ruichen RongQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center.
Shidan WangQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center.
Xi JiangQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center.
Sen YangQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center.
Suzette PalmerQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center.
Liwei JiaDepartment of Pathology, UT Southwestern Medical Center.
Qiwei LiDepartment of Mathematics Sciences, University of Texas at Dallas.
Guanghua XiaoQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center.
Xiaowei ZhanQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center.

Funding

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
Developing novel algorithms for spatial molecular profiling technologiesR01GM141519 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI XIAO, GUANGHUA · 2021 to 2024
$1.4M
Antibiotic Resistance Determination Utilizing Machine LearningU01AI169298 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI GREENBERG, DAVID ELIHU, ZHAN, XIAOWEI · 2022 to 2024
$1.4M
Tools for integrative genomics and disease association study for the X chromosomeR01GM126479 · NIGMS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI LIU, DAJIANG · 2018 to 2021
$1.2M
NCI NIH HHS U01 CA249245NIAID NIH HHS U01 AI169298NIDCR NIH HHS R01 DE030656NIGMS NIH HHS R01 GM126479NIGMS NIH HHS R01 GM140012NIGMS NIH HHS R01 GM141519
6 · The paper itself

Abstract

Motivation: Spatial 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. Results: We 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. Availability: ScopeViewer is available at: https://datacommons.swmed.edu/scopeviewer.

Identifiers

PMID37546786
PMCPMC10401999

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.