Evidence map›Paper›PMID 41959064›Full record

ArticlebioRxiv : the preprint server for biology2026

AQuA2-Cloud: a web platform for fluorescence bioimaging activity analysis.

Mark Bright, Xuelong Mi, Daniela Duarte, Erin Carey, Boyu Lyu, Yihzi Wang, Axel Nimmerjahn, Guoqiang Yu

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

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.

Mark BrightBradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA 22203, United States.ORCID 0009-0002-7430-4763
Xuelong MiBradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA 22203, United States.
Daniela DuarteWaitt Advanced Biophotonics Center, The Salk Institute for Biological Studies, La Jolla, CA 92037, United States.
Erin CareyWaitt Advanced Biophotonics Center, The Salk Institute for Biological Studies, La Jolla, CA 92037, United States.
Boyu LyuBradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA 22203, United States.
Yihzi WangBradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA 22203, United States.
Axel NimmerjahnWaitt Advanced Biophotonics Center, The Salk Institute for Biological Studies, La Jolla, CA 92037, United States.ORCID 0000-0002-0875-7855
Guoqiang YuDepartment of Automation, Tsinghua University, Beijing, People's Republic of China.

Funding

Spinal Circuits for the Control of Dextrous MovementU19NS112959 · NINDS · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI GOULDING, MARTYN D · 2019 to 2023
$14.3M
Novel Genetically Encoded Indicators for Interrogating Neuron-Astrocyte Communication Across TimescalesU19NS123719 · NINDS · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI EROGLU, CAGLA, NIMMERJAHN, AXEL · 2021 to 2025
$10.7M
Decoding Astrocyte Signaling in Neural Circuitry with Novel Computational Modeling and Analytical ToolsR01MH110504 · NIMH · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI YUE WANG · 2017 to 2026
$6.1M
NIMH NIH HHS R01 MH110504NINDS NIH HHS U19 NS112959NINDS NIH HHS U19 NS123719
6 · The paper itself

Abstract

Background: Advanced biological imaging analysis platforms such as Activity Quantification and Analysis (AQuA2) enable accurate spatiotemporal activity analysis across diverse cell populations within many species. These tools are increasingly important for investigating cellular signaling dynamics and behavior. However, despite advances in the accuracy and species capability of AQuA2, it remains computationally demanding for analysis of long time-series datasets and requires all users to maintain a MATLAB license, which may limit accessibility and large-scale deployment. Results: To address these limitations, we have designed and made available Conclusion: AQuA2-Cloud constitutes a cloud-native solution for laboratories or research groups seeking to centralize analysis of spatiotemporal biological imaging datasets while reducing software installation and licensing barriers for end users. The platform enables researchers with minimal technical expertise to perform advanced bioimaging analysis through standard web browsers while maintaining the analytical capabilities of AQuA2. AQuA2-Cloud source code, deployment procedures, and documentation are freely available at (https://github.com/yu-lab-vt/AQuA2-Cloud).

Indexed as

Bioimage analysisCalcium ImagingCloud computingSpatiotemporal activity detectionWeb-based analysis platform

Identifiers

PMID41959064
PMCPMC13060981

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.