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Related Concept Videos

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been developed.
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Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...
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Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
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Related Experiment Video

Updated: Jun 6, 2026

Lensless Fluorescent Microscopy on a Chip
11:23

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

Denoising in fluorescence microscopy using compressed sensing with multiple reconstructions and non-local merging.

Marcio Marim1, Elsa Angelini, Jean-Christophe Olivo-Marin

  • 1Institut Pasteur, Unité d'Analyse d'Images Quantitative CNRS URA 2582, F-75015 Paris, France. marim@pasteur.fr

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|November 25, 2010
PubMed
Summary

This study introduces an improved compressed sensing (CS) framework for fluorescence microscopy. The method enhances image quality by reducing noise and photobleaching, even with minimal measurements.

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Last Updated: Jun 6, 2026

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High-plex Imaging using Spectral Confocal Microscopy to Minimize Non-specific Tissue Fluorescence

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Area of Science:

  • Microscopy
  • Image Processing
  • Computational Imaging

Background:

  • Noise and photobleaching are critical challenges in fluorescence microscopy.
  • Previous work established the cross-dependency of noise and photobleaching.
  • Compressed sensing (CS) offers a method for simultaneous noise and photobleaching reduction.

Purpose of the Study:

  • To present an improved CS denoising framework for fluorescence microscopy images.
  • To leverage Non-Local means filtering for merging multiple reconstructions.
  • To enable high-quality reconstruction from low-exposure images using random Fourier sampling.

Main Methods:

  • Developed an enhanced compressed sensing (CS) denoising framework.
  • Integrated Non-Local means filtering to combine multiple CS reconstructions.
  • Utilized random Fourier sampling for data acquisition.
  • Applied the framework to low-exposure fluorescence microscopy images.

Main Results:

  • Achieved significant signal-to-noise ratio improvement with only 10% of measurements.
  • Successfully reduced exposure time while maintaining image quality.
  • Preserved critical image features such as edges and sharpness.
  • Demonstrated high-quality reconstruction of low-exposure fluorescence images.

Conclusions:

  • The improved CS framework effectively denoises fluorescence microscopy images.
  • The method allows for reduced acquisition time and lower photobleaching.
  • Non-Local means filtering enhances reconstruction quality by merging multiple CS outputs.