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Updated: Feb 3, 2026
09:09
Cortical Actin Flow in T Cells Quantified by Spatio-temporal Image Correlation Spectroscopy of Structured Illumination Microscopy Data
Published on: December 17, 2015
10.2K
Imaging tissues and cells beyond the diffraction limit with structured illumination microscopy and Bayesian image
Jakub Pospíšil1, Tomáš Lukeš1,2, Justin Bendesky3
1Department of Radioelectronics, Faculty of Electrical Engineering, Czech Technical University in Prague, Technická 2, 16627 Prague 6, Czech Republic.
Gigascience
|October 24, 2018
Summary
This study presents freely available structured illumination microscopy (SIM) datasets, including raw and analyzed data, to advance super-resolution microscopy method development. Researchers can use these resources to explore optical sectioning and super-resolution imaging techniques.
Area of Science:
- Optical Microscopy
- Biophysics
- Image Analysis
Background:
- Structured illumination microscopy (SIM) offers optical sectioning and super-resolution capabilities.
- SIM is effective for high-resolution imaging of fixed and live biological samples.
- The technique involves acquiring images with shifting illumination patterns, followed by algorithmic processing.
Purpose of the Study:
- To provide complete, freely available SIM datasets for method development.
- To demonstrate image acquisition and analysis methods using open-source software.
- To facilitate the advancement of SIM techniques and biological imaging.
Main Methods:
- Acquisition of five complete SIM datasets (raw and analyzed data).
- Processing data using established optical sectioning and super-resolution SIM methods.
- Application of novel Bayesian restoration approaches for image enhancement.
Main Results:
- Presentation of raw and analyzed SIM data for public access.
- Examples of images processed with different SIM methods, including Bayesian restoration.
- Demonstration of high-resolution imaging of animal tissues and cells.
Conclusions:
- Publicly available high-quality raw SIM data are crucial for developing new SIM methods.
- The presented datasets and open-source software (SIMToolbox) will aid researchers.
- The study provides valuable resources for both method developers and biologists seeking high-resolution images.
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