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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.
Phase Contrast and Differential Interference Contrast Microscopy01:26

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Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...
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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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A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors
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Published on: May 30, 2016

Stochastic transfer function for structured illumination microscopy.

Michael G Somekh1, Ken Hsu, Mark C Pitter

  • 1Institute of Biophysics Imaging and Optical Science, The University of Nottingham, University Park, Nottingham, UK. mike.somekh@nottingham.ac.uk

Journal of the Optical Society of America. A, Optics, Image Science, and Vision
|July 2, 2009
PubMed
Summary
This summary is machine-generated.

The stochastic transfer function quantifies signal-to-noise ratio across spatial frequencies, aiding resolution enhancement technique comparison. A hybrid algorithm boosts photon efficiency in structured illumination microscopy.

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Area of Science:

  • Microscopy and imaging science
  • Signal processing and noise analysis

Background:

  • Conventional transfer functions lack noise statistics, limiting assessment of resolution enhancement trade-offs.
  • Evaluating signal-to-noise ratio across spatial frequencies is crucial for microscopy technique optimization.

Purpose of the Study:

  • Introduce the stochastic transfer function for noise-aware metric in microscopy.
  • Compare noise performance of structured illumination microscopy (SIM) against wide-field microscopy.
  • Investigate hybrid algorithms for enhanced photon efficiency in SIM.

Main Methods:

  • Developed and applied the stochastic transfer function incorporating noise statistics.
  • Quantified signal-to-noise ratio as a function of spatial frequency for different microscopy techniques.
  • Implemented and evaluated a hybrid algorithm for structured illumination microscopy.

Main Results:

  • The stochastic transfer function provides a standardized metric for signal-to-noise ratio and spatial frequency trade-offs.
  • Structured illumination microscopy exhibits distinct noise performance compared to wide-field microscopy across spatial frequencies.
  • The hybrid algorithm demonstrated improved photon efficiency in structured illumination microscopy.

Conclusions:

  • The stochastic transfer function is a valuable tool for characterizing and comparing resolution enhancement techniques.
  • Understanding noise performance is key to optimizing advanced microscopy methods like SIM.
  • Hybrid algorithms offer a promising direction for enhancing the efficiency of structured illumination microscopy.