Evidence map›Paper›PMID 34102057›Full record

ArticleNano letters2021

Graphene Electric Field Sensor Enables Single Shot Label-Free Imaging of Bioelectric Potentials.

Halleh B Balch, Allister F McGuire, Jason Horng, Hsin-Zon Tsai, Kevin K Qi, Yi-Shiou Duh, Patrick R Forrester, Michael F Crommie, Bianxiao Cui, Feng Wang

Open access · greenAbstract read
In one paragraph

Article in Nano letters, 2021. 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
0.9field-weighted citation impact, top 31% 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, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Graphene-based cardiac sensors and actuators.Frontiers in bioengineering and biotechnology · 2023
    Review
  7. Article
  8. Article
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

10 authors at 3 institutions in 1 country.

Halleh B BalchDepartment of Physics, University of California Berkeley, Berkeley, California 94720, United States.ORCID 0000-0003-4365-957X
Allister F McGuireDepartment of Chemistry, Stanford University, Stanford, California 94305, United States.
Jason HorngDepartment of Physics, University of California Berkeley, Berkeley, California 94720, United States.
Hsin-Zon TsaiDepartment of Physics, University of California Berkeley, Berkeley, California 94720, United States.
Kevin K QiDepartment of Physics, University of California Berkeley, Berkeley, California 94720, United States.
Yi-Shiou DuhDepartment of Physics, University of California Berkeley, Berkeley, California 94720, United States.
Patrick R ForresterDepartment of Physics, University of California Berkeley, Berkeley, California 94720, United States.
Michael F CrommieDepartment of Physics, University of California Berkeley, Berkeley, California 94720, United States.ORCID 0000-0001-8246-3444
Bianxiao CuiDepartment of Chemistry, Stanford University, Stanford, California 94305, United States.ORCID 0000-0002-8044-5629
Feng WangDepartment of Physics, University of California Berkeley, Berkeley, California 94720, United States.
Lawrence Berkeley National Laboratory · USUniversity of California, Berkeley · USStanford University · US

Funding

Label-free Optical Recording of Neuroelectric ActivitiesR01NS121934 · NINDS · STANFORD UNIVERSITY · PI CUI, BIANXIAO, MUELLER, HOLGER · 2021 to 2025
$2.2M
NINDS NIH HHS R01 NS121934US Department of Energy DE-AC02-05-CH11231US Department of Energy DGE 1106400US Department of Energy DMR-1344302
6 · The paper itself

Abstract

The measurement of electrical activity across systems of excitable cells underlies current progress in neuroscience, cardiac pharmacology, and neurotechnology. However, bioelectricity spans orders of magnitude in intensity, space, and time, posing substantial technological challenges. The development of methods permitting network-scale recordings with high spatial resolution remains key to studies of electrogenic cells, emergent networks, and bioelectric computation. Here, we demonstrate single-shot and label-free imaging of extracellular potentials with high resolution across a wide field-of-view. The critically coupled waveguide-amplified graphene electric field (CAGE) sensor leverages the field-sensitive optical transitions in graphene to convert electric potentials into the optical regime. As a proof-of-concept, we use the CAGE sensor to detect native electrical activity from cardiac action potentials with tens-of-microns resolution, simultaneously map the propagation of these potentials at tissue-scale, and monitor their modification by pharmacological agents. This platform is robust, scalable, and compatible with existing microscopy techniques for multimodal correlative imaging.

Indexed as

GraphiteAction PotentialsElectrophysiological PhenomenaHeartMicroscopyGraphitebioelectricityelectrophysiologygrapheneimagingmicroscopyphotonicsvoltage sensing

Identifiers

PMID34102057
PMCPMC8510444
OpenAlexW3168096889

What OpenQuestion holds

Textmetadata
LicenceTDM
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.