Evidence map›Paper›PMID 39473935›Full record

ArticleChemical & biomedical imaging2023

Supertemporal Resolution Imaging of Membrane Potential via Stroboscopic Microscopy.

Luxin Peng, Peng Zou

Abstract read
In one paragraph

Article in Chemical & biomedical imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

2 authors.

Luxin PengCollege of Chemistry and Molecular Engineering, Synthetic and Functional Biomolecules Center, Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Peking University, Beijing, 100871, China.
Peng ZouCollege of Chemistry and Molecular Engineering, Synthetic and Functional Biomolecules Center, Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Peking University, Beijing, 100871, China.ORCID https://orcid.org/0000-0002-9798-5242

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Membrane potential and its fluctuation are fundamental biophysical phenomena essential to cellular activities and functions. Compared to traditional electrode-based techniques, the optical recording via developed genetically encoded voltage indicators (GEVIs) offers a combination of noninvasiveness, high spatial resolution, and increased measurement throughput. However, its application is limited by the insufficient acquisition rate and time accuracy of the camera. Here we design and apply a stroboscopic illumination scheme to boost the temporal resolution of voltage imaging, while simultaneously eliminating the artifacts caused by nonsynchronized exposure in the rolling-shutter mode. We demonstrate that commonly used GEVIs are compatible with stroboscopic voltage imaging (SVI), and our SVI scheme offers a 5-fold faster acquisition frame rate than that of conventional continuous illumination. The GEVIs tested maintain high sensitivities in the SVI mode, supporting faithful reports of intracellular depolarization waveform and intercellular gap junction-mediated depolarization coupling in human embryonic kidney 293T (HEK 293T) cell populations. SVI allows resolving the action potential (AP) waveform with less distortion and mapping action potential initiation and propagation dynamics in cultured neurons in kilohertz, beyond the restriction from the camera in the field of view.

Identifiers

PMID39473935
PMCPMC11503715

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.