Magnetic Nano-Actuation Platform for Remote and Controllable Mechanostimulation of Schwann Cells with Real-Time Confocal Imaging

Mechanical forces critically regulate cellular behavior, yet many existing methods of mechanical stimulation rely on direct physical contact or artificially engineered extracellular environments, thereby limiting their flexibility in dynamic live-cell studies. Here, we present a magnetic nano-actuation platform for remote, non-contact, and controllable mechanostimulation of Schwann cells in vitro. This integrated setup enables remote magnetic stimulation and synchronized live-cell imaging in the same experimental session. This manuscript describes the preparation of fluorescent superparamagnetic nanoparticles (SPIONs), optionally actin-targeting functionalized SPIONs (f-SPIONs), the construction and calibration of a microscope-compatible electromagnetic stimulation device, the estimation of magnetic forces at the single-particle and single-cell levels, and the integration of magnetic actuation with real-time confocal imaging. Schwann cells are highly mechanosensitive glial cells that play essential roles in the development, maintenance, and repair of peripheral nerves. Real-time monitoring of their responses to mechanical stimulation is crucial for understanding how mechanical forces influence cytoskeletal organization and cellular behavior. This platform provides a reproducible workflow for studying Schwann cell mechanobiology and may be adapted to other mechanically responsive cell types and multicellular systems.

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Publication Details

Journal
Journal of Visualized Experiments
Published
2026-09-08
DOI
https://doi.org/10.3791/71685
Primary Topic
Mechanical and Optical Resonators
Type
article
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Magnetic Nano-Actuation Platform for Remote and Controllable Mechanostimulation of Schwann Cells with Real-Time Confocal Imaging

Bin Liu, Yang Wang, Chong Qi, Ting Liu et al.
Journal of Visualized Experiments
Mechanical and Optical Resonators
article

Magnetic Nano-Actuation Platform for Remote and Controllable Mechanostimulation of Schwann Cells with Real-Time Confocal Imaging

Bin Liu, Yang Wang, Chong Qi, Ting Liu, Mingxi Yang
article en

Abstract

Mechanical forces critically regulate cellular behavior, yet many existing methods of mechanical stimulation rely on direct physical contact or artificially engineered extracellular environments, thereby limiting their flexibility in dynamic live-cell studies. Here, we present a magnetic nano-actuation platform for remote, non-contact, and controllable mechanostimulation of Schwann cells in vitro. This integrated setup enables remote magnetic stimulation and synchronized live-cell imaging in the same experimental session. This manuscript describes the preparation of fluorescent superparamagnetic nanoparticles (SPIONs), optionally actin-targeting functionalized SPIONs (f-SPIONs), the construction and calibration of a microscope-compatible electromagnetic stimulation device, the estimation of magnetic forces at the single-particle and single-cell levels, and the integration of magnetic actuation with real-time confocal imaging. Schwann cells are highly mechanosensitive glial cells that play essential roles in the development, maintenance, and repair of peripheral nerves. Real-time monitoring of their responses to mechanical stimulation is crucial for understanding how mechanical forces influence cytoskeletal organization and cellular behavior. This platform provides a reproducible workflow for studying Schwann cell mechanobiology and may be adapted to other mechanically responsive cell types and multicellular systems.

Journal of Visualized Experiments(235)
Jilin University (CN), Tissue Regeneration Systems (United States) (US), First Hospital of Jilin University (CN)
Affordable and clean energy
Openalex Percentile: Top 13%
Mechanical and Optical Resonators
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Magnetic Nano-Actuation Platform for Remote and Controllable Mechanostimulation of Schwann Cells with Real-Time Confocal Imaging — Bin Liu, Yang Wang, et al. · Journal of Visualized Experiments (2026) | TGRS Research Map | TGRS