Evidence map›Paper›PMID 32101736›Full record

ArticleCell reports2020

High-Accuracy Detection of Neuronal Ensemble Activity in Two-Photon Functional Microscopy Using Smart Line Scanning.

Marco Brondi, Monica Moroni, Dania Vecchia, Manuel Molano-Mazón, Stefano Panzeri, Tommaso Fellin

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

8 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  6. Review
  7. Lighting Up CaCells · 2021
    Review
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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

6 authors at 3 institutions in 1 country.

Marco BrondiOptical Approaches to Brain Function Laboratory, Istituto Italiano di Tecnologia, Genova, Italy; Neural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy.
Monica MoroniNeural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy; Neural Computation Laboratory, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy; Center for Mind and Brain Sciences (CIMeC), University of Trento, Trento, Italy.
Dania VecchiaOptical Approaches to Brain Function Laboratory, Istituto Italiano di Tecnologia, Genova, Italy; Neural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy.
Manuel Molano-MazónNeural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy; Neural Computation Laboratory, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy.
Stefano PanzeriNeural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy; Neural Computation Laboratory, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy.
Tommaso FellinOptical Approaches to Brain Function Laboratory, Istituto Italiano di Tecnologia, Genova, Italy; Neural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy. Electronic address: tommaso.fellin@iit.it.
Italian Institute of Technology · ITCenter for Neuroscience and Cognitive Systems · ITUniversity of Trento · IT

Funding

Readout and control of spatiotemporal neuronal codes for behaviorU19NS107464 · NINDS · UNIVERSITY OF CHICAGO · PI PLENZ, DIETMAR · 2018 to 2022
$17.3M
The role of patterned activity in neuronal codes for behaviorU01NS090576 · NINDS · UNIVERSITY OF CHICAGO · PI FELLIN, TOMMASO, HISTED, MARK H · 2014 to 2016
$1.6M
NINDS NIH HHS U01 NS090576NINDS NIH HHS U19 NS107464
6 · The paper itself

Abstract

Two-photon functional imaging using genetically encoded calcium indicators (GECIs) is one prominent tool to map neural activity. Under optimized experimental conditions, GECIs detect single action potentials in individual cells with high accuracy. However, using current approaches, these optimized conditions are never met when imaging large ensembles of neurons. Here, we developed a method that substantially increases the signal-to-noise ratio (SNR) of population imaging of GECIs by using galvanometric mirrors and fast smart line scan (SLS) trajectories. We validated our approach in anesthetized and awake mice on deep and dense GCaMP6 staining in the mouse barrel cortex during spontaneous and sensory-evoked activity. Compared to raster population imaging, SLS led to increased SNR, higher probability of detecting calcium events, and more precise identification of functional neuronal ensembles. SLS provides a cheap and easily implementable tool for high-accuracy population imaging of neural GCaMP6 signals by using galvanometric-based two-photon microscopes.

Indexed as

Image Processing, Computer-AssistedMicroscopy, Fluorescence, MultiphotonAction PotentialsAnimalsArtifactsCalciumMiceMotionNeuronsNeuropil ThreadsWakefulnessCalciumbarrel cortexGCaMP6neuronal ensemblesspatiotemporal neural responsestwo-photon imaging

Identifiers

PMID32101736
PMCPMC7043026
OpenAlexW3008539609

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.