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Related Concept Videos

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

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.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

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,...
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.
Three-Dimensional Microscopy in Microbiology01:28

Three-Dimensional Microscopy in Microbiology

Three-dimensional imaging techniques are essential in cell biology, allowing researchers to visualize intricate cellular structures with high resolution. Two prominent methods, Differential Interference Contrast Microscopy (DIC) and Confocal Scanning Laser Microscopy (CSLM), provide distinct advantages for imaging live and thick specimens, respectively.Differential Interference Contrast MicroscopyDIC microscopy enhances contrast in transparent, unstained samples by converting phase...

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Related Experiment Video

Updated: Jun 16, 2026

Single Plane Illumination Module and Micro-capillary Approach for a Wide-field Microscope
08:53

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Published on: August 15, 2014

Strategic and practical guidelines for successful structured illumination microscopy.

Justin Demmerle1, Cassandravictoria Innocent1, Alison J North2

  • 1Micron Advanced Bioimaging Unit, Department of Biochemistry, University of Oxford, Oxford, UK.

Nature Protocols
|April 14, 2017
PubMed
Summary
This summary is machine-generated.

Structured Illumination Microscopy (SIM) provides high-resolution 3D imaging but can suffer from artifacts. This protocol details artifact correction and calibration for high-quality SIM data, saving time and resources.

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Related Experiment Videos

Last Updated: Jun 16, 2026

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08:53

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Published on: August 15, 2014

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors
11:15

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11:55

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Published on: May 28, 2021

Area of Science:

  • Microscopy
  • Biotechnology
  • Optical Imaging

Background:

  • Structured Illumination Microscopy (SIM) offers subdiffraction resolution for multicolor 3D imaging of biological specimens.
  • SIM's reliance on post-processing makes it susceptible to artifacts that can degrade image quality and interpretation.
  • Artifacts in SIM can lead to reduced resolution, compromised data, and increased experimental costs.

Purpose of the Study:

  • To present a protocol for generating high-quality SIM data by addressing common artifacts.
  • To provide researchers with methods for artifact correction and system calibration in SIM experiments.
  • To enable optimal SIM imaging environments for diverse specimens and research goals.

Main Methods:

  • Development of a protocol for preparing calibration bead slides specifically for SIM.
  • Detailed procedures for acquiring calibration data and documenting common SIM artifacts.
  • Inclusion of corrective measures for identified artifacts and a checklist for experimental design.

Main Results:

  • The protocol facilitates the generation of high-quality SIM data by accounting for and correcting artifacts.
  • Calibration sample preparation and system calibration can be completed within 1-2 days.
  • The protocol is applicable to various commercially available or custom SIM platforms.

Conclusions:

  • This protocol empowers researchers, from students to professionals, to optimize their SIM imaging.
  • It ensures reliable and interpretable SIM data by mitigating common artifacts.
  • The standardized approach enhances the efficiency and accuracy of super-resolution microscopy.