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Updated: Dec 6, 2025

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Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy
Published on: December 9, 2013
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Fast TIRF-SIM imaging of dynamic, low-fluorescent biological samples
Julian Roth1, Johanna Mehl1,2, Alexander Rohrbach1
1Laboratory for Bio- and Nano-Photonics, Department of Microsystems Engineering, University of Freiburg, Germany.
Biomedical Optics Express
|October 5, 2020
Summary
This study presents a new TIRF-SIM system for super-resolved live-cell imaging, achieving high spatial and temporal resolution. It offers guidelines to minimize artifacts in structured illumination microscopy (SIM) for better biological dynamics analysis.
Area of Science:
- Biophysics
- Cell Biology
- Optical Microscopy
Background:
- Fluorescence microscopy is crucial for studying live cells but faces trade-offs between spatial and temporal resolution.
- Limitations include photobleaching and imaging artifacts, particularly in structured illumination microscopy (SIM), hindering high-speed super-resolution imaging of low-fluorescent samples.
Purpose of the Study:
- To develop and characterize a Total Internal Reflection Fluorescence-Structured Illumination Microscopy (TIRF-SIM) system.
- To achieve high spatial (110 nm) and temporal (8 Hz) resolution for live-cell imaging.
- To provide a framework for optimizing SIM parameters and understanding image artifacts.
Main Methods:
- Implementation of a TIRF-SIM system using scan-mirrors and a Michelson interferometer.
- Optimization of illumination interference contrast for low-fluorescent, moving samples.
- Analysis of modulation contrast dependencies (laser coherence, polarization, beam displacement, sample movement).
- Characterization of signal-to-noise ratio and Wiener filtering effects on SIM image reconstruction.
Main Results:
- The developed TIRF-SIM system achieves 110 nm spatial resolution and up to 8 Hz temporal resolution.
- High resolution is maintained even for low-fluorescent and moving biological samples.
- A framework is provided to map and understand modulation contrast across the field of view.
- The influence of SNR and Wiener filtering on image quality and artifacts is characterized.
Conclusions:
- The TIRF-SIM system overcomes limitations of conventional SIM for live-cell super-resolution imaging.
- The provided guidelines and theoretical understanding aid microscopists in optimizing optical parameters.
- This facilitates more reliable measurements and analyses of dynamic biological processes using super-resolution microscopy.
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