Evidence map›Paper›PMID 38840033›Full record

ArticleNature methods2024

Large-scale deep tissue voltage imaging with targeted-illumination confocal microscopy.

Sheng Xiao, William J Cunningham, Krishnakanth Kondabolu, Eric Lowet, Maria V Moya, Rebecca A Mount, Cara Ravasio, Emma Bortz, Dana Shaw, Michael N Economo and 2 more

Abstract read
In one paragraph

Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

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  14. A dendrite-resolved,bioRxiv : the preprint server for biology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Sheng XiaoDepartment of Biomedical Engineering, Boston University, Boston, MA, USA. shengx@bu.edu.ORCID http://orcid.org/0000-0001-8959-2388
William J CunninghamDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.
Krishnakanth KondaboluDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.
Eric LowetDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.
Maria V MoyaDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0003-2310-1990
Rebecca A MountDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.
Cara RavasioDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.
Emma BortzDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0001-7442-8825
Dana ShawGraduate Program for Neuroscience, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0003-1828-9191
Michael N EconomoDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0001-9893-1505
Xue HanDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0003-3896-4609
Jerome MertzDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0002-6343-9155

Funding

Translational Research in BiomaterialsT32EB006359 · NIBIB · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI MARK W. GRINSTAFF, Michelle H Teplensky · 2009 to 2026
$4.2M
Multidimensional Optimization of Voltage Indicators for In Vivo Neural Activity ImagingR01MH122971 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI HAN, XUE · 2020 to 2024
$3.4M
High-throughput mapping of synaptic connectivity between transcriptomically defined cell typesRF1MH126882 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI ECONOMO, MICHAEL NICHOLAS · 2022 to 2022
$1.4M
Ultrafast high-contrast voltage imaging in freely moving animalsR34NS127098 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI MERTZ, JEROME · 2022 to 2022
$655k
A Scalable Method for Mapping Microconnectivity in Transcriptomically Distinct Neuron TypesF32MH129149 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI MOYA, MARIA VICTORIA · 2022 to 2024
$150k
National Science Foundation (NSF) 2002971-DIOSNIBIB NIH HHS T32 EB006359NIMH NIH HHS F32 MH129149NIMH NIH HHS R01 MH122971NIMH NIH HHS RF1 MH126882NINDS NIH HHS R34 NS127098U.S. Department of Health & Human Services | National Institutes of Health (NIH) F32MH129149U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01MH122971U.S. Department of Health & Human Services | National Institutes of Health (NIH) R34NS127098U.S. Department of Health & Human Services | National Institutes of Health (NIH) RF1MH126882
6 · The paper itself

Abstract

Voltage imaging with cellular specificity has been made possible by advances in genetically encoded voltage indicators. However, the kilohertz rates required for voltage imaging lead to weak signals. Moreover, out-of-focus fluorescence and tissue scattering produce background that both undermines the signal-to-noise ratio and induces crosstalk between cells, making reliable in vivo imaging in densely labeled tissue highly challenging. We describe a microscope that combines the distinct advantages of targeted illumination and confocal gating while also maximizing signal detection efficiency. The resulting benefits in signal-to-noise ratio and crosstalk reduction are quantified experimentally and theoretically. Our microscope provides a versatile solution for enabling high-fidelity in vivo voltage imaging at large scales and penetration depths, which we demonstrate across a wide range of imaging conditions and different genetically encoded voltage indicator classes.

Indexed as

Microscopy, ConfocalAnimalsMiceSignal-To-Noise Ratio

Identifiers

PMID38840033
PMCPMC11500676

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.