Evidence map›Paper›PMID 31570865›Full record

ArticleNature neuroscience2019

Accurate quantification of astrocyte and neurotransmitter fluorescence dynamics for single-cell and population-level physiology.

Yizhi Wang, Nicole V DelRosso, Trisha V Vaidyanathan, Michelle K Cahill, Michael E Reitman, Silvia Pittolo, Xuelong Mi, Guoqiang Yu, Kira E Poskanzer

Abstract read
In one paragraph

Article in Nature neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers.

0numbers the graph read from it
0cells of the map it votes in
123citing 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

123 citing papers in PubMed.

  1. Article
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  7. Hippocampal astrocytic sequences emerge during learning and memory.bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Article
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  11. Article
  12. Article
  13. LPS-induced inflammation differentially affects endogenous CaMolecular medicine (Cambridge, Mass.) · 2026
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Spontaneous activity of astrocytes is a stochastic functional signal for memory consolidation.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  19. Article
  20. Article

63 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Yizhi Wang *Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA, USA.
Nicole V DelRosso *Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, CA, USA.
Trisha V VaidyanathanNeuroscience Graduate Program, University of California, San Francisco, San Francisco, CA, USA.
Michelle K CahillNeuroscience Graduate Program, University of California, San Francisco, San Francisco, CA, USA.
Michael E ReitmanNeuroscience Graduate Program, University of California, San Francisco, San Francisco, CA, USA.
Silvia PittoloDepartment of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, CA, USA.
Xuelong MiBradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA, USA.
Guoqiang YuBradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA, USA. yug@vt.edu.ORCID http://orcid.org/0000-0002-6743-7413
Kira E PoskanzerDepartment of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, CA, USA. kira.poskanzer@ucsf.edu.ORCID http://orcid.org/0000-0003-4830-8891

Funding

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
A Functional Taxonomy of Cortical AstrocytesR01NS099254 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Evan Harriman Feinberg · 2017 to 2026
$4.1M
Dissecting Monoaminergic Physiology of Prefrontal Cortical AstrocytesR21DA048497 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI POSKANZER, KIRA · 2019 to 2020
$442k
NIDA NIH HHS R21 DA048497NIMH NIH HHS R01 MH110504NINDS NIH HHS R01 NS099254
6 · The paper itself

Abstract

Recent work examining astrocytic physiology centers on fluorescence imaging, due to development of sensitive fluorescent indicators and observation of spatiotemporally complex calcium activity. However, the field remains hindered in characterizing these dynamics, both within single cells and at the population level, because of the insufficiency of current region-of-interest-based approaches to describe activity that is often spatially unfixed, size-varying and propagative. Here we present an analytical framework that releases astrocyte biologists from region-of-interest-based tools. The Astrocyte Quantitative Analysis (AQuA) software takes an event-based perspective to model and accurately quantify complex calcium and neurotransmitter activity in fluorescence imaging datasets. We apply AQuA to a range of ex vivo and in vivo imaging data and use physiologically relevant parameters to comprehensively describe the data. Since AQuA is data-driven and based on machine learning principles, it can be applied across model organisms, fluorescent indicators, experimental modes, and imaging resolutions and speeds, enabling researchers to elucidate fundamental neural physiology.

Indexed as

AdenoviridaeAlgorithmsAnimalsAnimals, NewbornAstrocytesCalciumGenetic VectorsImage Processing, Computer-AssistedMiceNeurotransmitter AgentsOptical ImagingSoftwareTransfectionVisual CortexCalciumNeurotransmitter Agents

Identifiers

PMID31570865
PMCPMC6858541

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.