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Related Concept Videos

Imaging Biological Samples with Optical Microscopy01:18

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Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
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Updated: Mar 10, 2026

Design and Implementation of an Automated Illuminating, Culturing, and Sampling System for Microbial Optogenetic Applications
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Implementation and Optimization of a Random Illumination Microscope: towards Robustness for Microscopy Core Facility.

Nina Soler1, Gilles Le Marchand1,2, Stéphanie Dutertre1

  • 1CNRS, Univ Rennes, INSERM, Biosit - UAR 3480 US18, Microscopy Rennes Imaging Centre, Rennes, France.

Biology of the Cell
|March 9, 2026
PubMed
Summary

Random Illumination Microscopy (RIM) offers rapid, deep imaging for live samples by using laser speckle patterns. This super-resolution technique overcomes limitations of traditional methods, enabling detailed visualization of subcellular structures.

Keywords:
fluorescence microscopylaser speckle illuminationlive cell imagingspatial light modulatorsuper‐resolution microscopy

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Area of Science:

  • Biophysics
  • Optical Microscopy
  • Cell Biology

Background:

  • Super-resolution microscopy is crucial for studying molecular structures in cells.
  • Existing methods struggle with rapid, deep imaging of live samples.
  • Random Illumination Microscopy (RIM) offers a potential solution.

Purpose of the Study:

  • To implement and characterize a Random Illumination Microscopy (RIM) prototype.
  • To demonstrate RIM's capability for deep-tissue, high-speed live-cell imaging.
  • To validate RIM's performance in resolving subcellular structures.

Main Methods:

  • Utilized laser speckle illumination and statistical analysis of speckle pattern invariance.
  • Acquired stacks of random speckle images using a diffusive element.
  • Developed algorithms for super-resolved optical section reconstruction.
  • Implemented and optimized a RIM prototype within a microscopy core facility.

Main Results:

  • Demonstrated RIM's ability to achieve super-resolution imaging.
  • Showcased rapid acquisition speeds and minimal photodamage.
  • Validated deep-tissue imaging capabilities due to persistent speckle properties.
  • Provided biological examples of resolved subcellular structures.

Conclusions:

  • RIM overcomes limitations of conventional super-resolution techniques for live samples.
  • The implemented RIM prototype is reliable and effective for subcellular structure visualization.
  • RIM holds promise for advancing live-cell imaging in biological research.