Evidence map›Paper›PMID 32341158›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

High-speed interferometric imaging reveals dynamics of neuronal deformation during the action potential.

Tong Ling, Kevin C Boyle, Valentina Zuckerman, Thomas Flores, Charu Ramakrishnan, Karl Deisseroth, Daniel Palanker

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
8.0field-weighted citation impact, top 2% 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

53 citing papers in PubMed, 116 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Tong LingHansen Experimental Physics Laboratory, Stanford University, Stanford, CA 94305; tongling@stanford.edu palanker@stanford.edu kcb76@stanford.edu.ORCID 0000-0001-9009-7966
Kevin C BoyleDepartment of Electrical Engineering, Stanford University, Stanford, CA 94305; tongling@stanford.edu palanker@stanford.edu kcb76@stanford.edu.ORCID 0000-0002-9539-6786
Valentina ZuckermanHansen Experimental Physics Laboratory, Stanford University, Stanford, CA 94305.
Thomas FloresHansen Experimental Physics Laboratory, Stanford University, Stanford, CA 94305.ORCID 0000-0001-6753-3942
Charu RamakrishnanDepartment of Bioengineering, Stanford University, Stanford, CA 94305.
Karl DeisserothDepartment of Bioengineering, Stanford University, Stanford, CA 94305.
Daniel PalankerHansen Experimental Physics Laboratory, Stanford University, Stanford, CA 94305; tongling@stanford.edu palanker@stanford.edu kcb76@stanford.edu.ORCID 0000-0002-0480-3025
Stanford University · USHoward Hughes Medical Institute · US

Funding

Optoretinography: All-optical measures of functional activity in the human retinaU01EY032055 · NEI · UNIVERSITY OF WASHINGTON · PI PALANKER, DANIEL V, ROORDA, AUSTIN · 2021 to 2025
$5.2M
Interferometric Optophysiology of the Human RetinaU01EY025501 · NEI · UNIVERSITY OF CALIFORNIA BERKELEY · PI ROORDA, AUSTIN · 2015 to 2019
$3.4M
NEI NIH HHS U01 EY025501NEI NIH HHS U01 EY032055
6 · The paper itself

Abstract

Neurons undergo nanometer-scale deformations during action potentials, and the underlying mechanism has been actively debated for decades. Previous observations were limited to a single spot or the cell boundary, while movement across the entire neuron during the action potential remained unclear. Here we report full-field imaging of cellular deformations accompanying the action potential in mammalian neuron somas (-1.8 to 1.4 nm) and neurites (-0.7 to 0.9 nm), using high-speed quantitative phase imaging with a temporal resolution of 0.1 ms and an optical path length sensitivity of <4 pm per pixel. The spike-triggered average, synchronized to electrical recording, demonstrates that the time course of the optical phase changes closely matches the dynamics of the electrical signal. Utilizing the spatial and temporal correlations of the phase signals across the cell, we enhance the detection and segmentation of spiking cells compared to the shot-noise-limited performance of single pixels. Using three-dimensional (3D) cellular morphology extracted via confocal microscopy, we demonstrate that the voltage-dependent changes in the membrane tension induced by ionic repulsion can explain the magnitude, time course, and spatial features of the phase imaging. Our full-field observations of the spike-induced deformations shed light upon the electromechanical coupling mechanism in electrogenic cells and open the door to noninvasive label-free imaging of neural signaling.

Indexed as

Action PotentialsAnimalsCell MembraneInterferometryMolecular ImagingNeuronsOptogeneticsaction potentialelectromotilityquantitative phase imagingsingle-cell mechanics

Identifiers

PMID32341158
PMCPMC7229674
OpenAlexW3018961226

What OpenQuestion holds

Textmetadata
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.