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Related Concept Videos

Super-resolution Fluorescence Microscopy01:37

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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...
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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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Related Experiment Video

Updated: Mar 30, 2026

Cryo-Structured Illumination Microscopic Data Collection from Cryogenically Preserved Cells
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SIMcheck: a Toolbox for Successful Super-resolution Structured Illumination Microscopy.

Graeme Ball1, Justin Demmerle1, Rainer Kaufmann1,2

  • 1Department of Biochemistry, University of Oxford, Oxford, UK.

Scientific Reports
|November 4, 2015
PubMed
Summary
This summary is machine-generated.

SIMcheck is a new ImageJ plugin suite that helps users generate high-quality super-resolution microscopy data. It identifies common issues in 3D-SIM imaging and improves data analysis for cell biology research.

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Area of Science:

  • Microscopy
  • Cell Biology
  • Image Analysis

Background:

  • Three-dimensional structured illumination microscopy (3D-SIM) offers super-resolution fluorescence imaging capabilities.
  • Acquiring high-quality 3D-SIM data can be challenging, especially for users without specialized expertise.

Purpose of the Study:

  • To introduce SIMcheck, a novel ImageJ plugin suite designed to address common challenges in 3D-SIM data acquisition and processing.
  • To provide objective tools for assessing 3D-SIM data quality and resolution.

Main Methods:

  • Development of a suite of ImageJ plugins named SIMcheck.
  • Implementation of objective control parameters for data quality assessment.
  • Inclusion of advanced calibration tools and image processing utilities.

Main Results:

  • SIMcheck enables users to identify and mitigate common artifacts in 3D-SIM datasets.
  • The software provides objective metrics for evaluating image resolution and data quality.
  • It offers versatile tools applicable to various commercial and custom 3D-SIM platforms.

Conclusions:

  • SIMcheck empowers researchers, including non-specialists, to achieve reliable super-resolution imaging using 3D-SIM.
  • This open-source software facilitates the routine application of 3D-SIM in cell biology.
  • It promotes consistent and high-quality data generation across different 3D-SIM systems.