Evidence map›Paper›PMID 27571194›Full record

ReviewNature neuroscience2016

Technologies for imaging neural activity in large volumes.

Na Ji, Jeremy Freeman, Spencer L Smith

Abstract readReview
In one paragraph

Review in Nature neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 140 papers.

0numbers the graph read from it
0cells of the map it votes in
140citing 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

140 citing papers in PubMed.

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  15. Non-inertial scan angle multiplier for expanded fields-of-view.bioRxiv : the preprint server for biology · 2025
    Article
  16. Article
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  20. Spike rate inference from mouse spinal cord calcium imaging data.bioRxiv : the preprint server for biology · 2025
    Article

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

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

3 authors.

Na JiJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, USA.
Jeremy FreemanJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, USA.
Spencer L SmithDepartment of Cell Biology and Physiology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.

Funding

Modulation of dendritic spiking in vivoR01NS091335 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BRENMAN, JAY, SMITH, SPENCER LAVERE · 2015 to 2020
$2.0M
Development and function of higher visual areas in miceR01EY024294 · NEI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SMITH, SPENCER LAVERE · 2015 to 2019
$1.7M
Howard Hughes Medical InstituteNEI NIH HHS R01 EY024294NINDS NIH HHS R01 NS091335
6 · The paper itself

Abstract

Neural circuitry has evolved to form distributed networks that act dynamically across large volumes. Conventional microscopy collects data from individual planes and cannot sample circuitry across large volumes at the temporal resolution relevant to neural circuit function and behaviors. Here we review emerging technologies for rapid volume imaging of neural circuitry. We focus on two critical challenges: the inertia of optical systems, which limits image speed, and aberrations, which restrict the image volume. Optical sampling time must be long enough to ensure high-fidelity measurements, but optimized sampling strategies and point-spread function engineering can facilitate rapid volume imaging of neural activity within this constraint. We also discuss new computational strategies for processing and analyzing volume imaging data of increasing size and complexity. Together, optical and computational advances are providing a broader view of neural circuit dynamics and helping elucidate how brain regions work in concert to support behavior.

Indexed as

AnimalsBrainHumansImage Processing, Computer-AssistedMicroscopy, Fluorescence, MultiphotonNerve NetNeuronsOptical Imaging

Identifiers

PMID27571194
PMCPMC5244827

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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.