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Updated: Oct 29, 2025

Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy
Published on: March 6, 2018
isoSTED microscopy with water-immersion lenses and background reduction
René Siegmund1, Frank Werner2, Stefan Jakobs3
1Department of Optical Nanoscopy, Institute for Nanophotonics Göttingen, Göttingen, Germany.
We developed an isoSTED microscope for high-resolution cellular imaging. This advanced fluorescence microscopy technique achieves isotropic resolution below 60 nm in living samples, significantly improving visualization of cellular structures.
Area of Science:
- Biophysics
- Cell Biology
- Microscopy
Background:
- Fluorescence microscopy is crucial for studying cellular structures and processes.
- Stimulated emission depletion (STED) microscopy offers nanometer resolution but often lacks isotropic capabilities.
- Isotropic resolution is essential for accurately imaging cellular structures in any orientation.
Purpose of the Study:
- To present an isoSTED microscope enabling isotropic super-resolution imaging.
- To demonstrate its application in imaging living cellular structures with high fidelity.
- To introduce a method for background signal removal in super-resolution images.
Main Methods:
- Utilized water-immersion objective lenses in the STED microscope setup.
- Achieved isotropic resolution better than 60 nm in living samples at room temperature.
- Developed a method to identify and remove unspecific background fluorescence signals.
Main Results:
- The isoSTED microscope provides isotropic resolution of <60 nm in living cells.
- Imaging was performed without CO2 supply or pH control, at room temperature.
- Imaging speed reached 0.8 s/μm³, enabling rapid acquisition.
- A novel method effectively removed background noise from the super-resolution images.
Conclusions:
- The isoSTED microscope significantly enhances the visualization of cellular structures with isotropic resolution.
- This technique offers a powerful tool for studying dynamic biological processes in living cells.
- The background removal method improves image quality and data interpretation in super-resolution microscopy.
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