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Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
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Real-Time 3D Reconstruction of Nanomotor Dynamics Using Phase-Space Deconvolution Light-Field Microscopy.

Yanfang Cheng1,2,3, Xinlin Chen2, Hao Chen2

  • 1School of Medicine and Health, Harbin Institute of Technology, Harbin, China.

Small (Weinheim an Der Bergstrasse, Germany)
|May 14, 2026
PubMed
Summary
This summary is machine-generated.

We developed a 3D light-field microscopy system to accurately track nanoscale motion. This method improves diffusivity measurements for colloidal active matter and nanomotors, overcoming limitations of 2D tracking.

Keywords:
3D trackingactive diffusionintracellular trackingjanus nanomotorlight‐field microscopy

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Area of Science:

  • Physics
  • Materials Science
  • Biophysics

Background:

  • Accurate nanoscale motion tracking is crucial for understanding colloidal active matter.
  • Conventional 2D tracking methods are limited by projection bias, affecting diffusivity measurements and active propulsion characterization.

Purpose of the Study:

  • To introduce a novel phase-space deconvolution light-field microscopy (LFM) system for real-time 3D imaging and nanoscale motion analysis.
  • To overcome the limitations of 2D tracking by enabling accurate 3D trajectory reconstruction and diffusivity measurements.

Main Methods:

  • Implemented a scan-free, real-time volumetric imaging LFM system.
  • Achieved millisecond temporal resolution and axial localization precision of ~100 nm.
  • Validated the system with colloidal particles and enzyme-powered Janus nanomotors.

Main Results:

  • Demonstrated a sixfold improvement in diffusivity accuracy for colloidal particles compared to 2D tracking.
  • Quantitatively separated active propulsion from Brownian motion for nanomotors.
  • Revealed a two-fold increase in effective diffusivity for nanomotors under glucose (D_eff = 5.97 µm²/s).
  • Enabled robust 3D tracking in living cells, distinguishing active nanomotors from passive controls.

Conclusions:

  • The developed LFM system provides a robust framework for quantitative 3D characterization of passive and active nanosystems.
  • Establishes a direct experimental link between nanoscale dynamics and theoretical models in complex biological environments.
  • Offers significant advancements in understanding colloidal active matter and nanomotor behavior.