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Related Experiment Video

Updated: May 15, 2025

Super-resolution Imaging of Neuronal Dense-core Vesicles

Super-resolution Imaging of Neuronal Dense-core Vesicles

Published on: July 2, 2014

Fast and Long-Term Super-Resolution Imaging of Endoplasmic Reticulum Nano-structural Dynamics in Living Cells Using a

Johanna V Rahm¹, Ashwin Balakrishnan¹, Maren Wehrheim^2,3

¹Institute of Physical and Theoretical Chemistry Goethe University Frankfurt Max-von-Laue-Str. 7 60438 Frankfurt Germany.

|April 11, 2025

Summary

This summary is machine-generated.

This study introduces a novel method combining ultra-low intensity STED microscopy (Stimulated Emission Depletion) with neural network image restoration. This breakthrough enables prolonged, high-resolution live-cell imaging of organelle dynamics.

Keywords:

autophagy denoising image restoration live‐cell microscopy neural networks super‐resolution microscopy

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Last Updated: May 15, 2025

Super-resolution Imaging of Neuronal Dense-core Vesicles

Super-resolution Imaging of Neuronal Dense-core Vesicles

Published on: July 2, 2014

Visualization of Endosome Dynamics in Living Nerve Terminals with Four-dimensional Fluorescence Imaging

Visualization of Endosome Dynamics in Living Nerve Terminals with Four-dimensional Fluorescence Imaging

Published on: April 16, 2014

Super-Resolution Live Cell Imaging of Subcellular Structures

Super-Resolution Live Cell Imaging of Subcellular Structures

Published on: January 13, 2021

Area of Science:

Biophysics
Cell Biology
Microscopy

Background:

Stimulated Emission Depletion (STED) microscopy offers super-resolution imaging beyond the diffraction limit.
High laser power in STED microscopy causes photobleaching and phototoxicity, limiting live-cell imaging duration.
Analyzing dynamic cellular processes requires advanced imaging techniques with minimal sample perturbation.

Purpose of the Study:

To overcome limitations of photobleaching and phototoxicity in STED microscopy for extended live-cell imaging.
To enable quantitative analysis of organelle dynamics over both short and long timescales within the same living cell.
To develop a method for fast 3D live-cell STED microscopy.

Main Methods:

Utilized ultra-low irradiation intensities for STED microscopy.
Employed a neural network for image restoration and denoising.
Focused on imaging the endoplasmic reticulum (ER) dynamics in living cells.

Main Results:

Achieved continuous observation of ER dynamics in living cells for up to 7 hours with second-level temporal resolution.
Enabled quantitative analysis of ER structural changes over timescales ranging from seconds to hours.
Facilitated fast 3D live-cell STED microscopy.

Conclusions:

The combination of ultra-low irradiation and neural network-based image restoration significantly enhances live-cell imaging capabilities.
This approach allows for comprehensive analysis of organelle dynamics over extended periods, overcoming previous limitations.
The developed technique provides new possibilities for studying dynamic cellular processes in unprecedented detail.