Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/182752
Title: Electromechanical deformation of biological neurons: an intrinsic marker for label-free functional neuroimaging
Authors: You, Hengze
Li, Huakun
Ling, Tong
Keywords: Physics
Issue Date: 2025
Source: You, H., Li, H. & Ling, T. (2025). Electromechanical deformation of biological neurons: an intrinsic marker for label-free functional neuroimaging. Journal of Physics D: Applied Physics, 58(5), 053002-. https://dx.doi.org/10.1088/1361-6463/ad8deb
Project: NRF-NRFF14-2022-0005 
NTU SUG 
NMRC/CG/C010A/2017 
RS19/20 
RG28/21 
Journal: Journal of Physics D: Applied Physics 
Abstract: Membrane potential is fundamental to cell physiology and signaling. Conventional electrode-based electrophysiology has advanced the biophysical understanding of membrane potential and its implications in biological perceptions, cognitive intelligence, and embryonic development, but it necessitates placing an electrode on or near the cell of interest and is inherently invasive and low-throughput. Emerging optical electrophysiology techniques, such as genetically encoded voltage and calcium indicators, allow imaging of neural activity in a large field of view with high spatial resolution. Still, these techniques rely on preloading fluorophores or conducting genetic modifications to generate exogenous optical contrast of voltage changes or functional activities. Electromechanical deformations accompanying cells' membrane potential changes, which have been observed using modalities such as atomic force microscopy and interferometric imaging, can yield intrinsic contrast for label-free functional neuroimaging without affecting cell viability or other biological functions. This review consolidates experimental evidence of electromechanical deformations across diverse cell types, from mammalian cortical neurons to non-spiking cells, to provide an overview of this phenomenon and gain new perspectives to guide future research in label-free functional neuroimaging.
URI: https://hdl.handle.net/10356/182752
URL: https://doi.org/10.1088/1361-6463/ad8deb
ISSN: 1361-6463
DOI: 10.1088/1361-6463/ad8deb
Schools: School of Chemistry, Chemical Engineering and Biotechnology 
School of Electrical and Electronic Engineering 
Organisations: Singapore National Eye Centre 
Research Centres: SERI-NTU Advanced Ocular Engineering (STANCE) Program
Rights: © 2024 The Author(s). Published by IOP Publishing Ltd. Original Content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:CCEB Journal Articles

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