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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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Related Experiment Video

Updated: Jan 1, 2026

Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ
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QSIM: quantitative structured illumination microscopy image processing in ImageJ.

Liang Gao1

  • 1Department of Biomedical Engineering, Washington University, St, Louis, MO 63139, USA. gaol@wustl.edu.

Biomedical Engineering Online
|January 16, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a quantitative structured illumination microscopy (QSIM) algorithm for ImageJ. QSIM enables precise photon measurements, transforming microscopy for demanding fluorescence imaging applications.

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Area of Science:

  • Biophotonics
  • Microscopy
  • Image Processing

Background:

  • Structured illumination microscopy (SIM) is widely used in biological imaging.
  • Traditional SIM lacks quantitative imaging for absolute irradiance measurements.

Purpose of the Study:

  • To develop a quantitative image processing algorithm for SIM.
  • To enable absolute irradiance measurements in SIM.

Main Methods:

  • Developed a quantitative structured illumination microscopy (QSIM) algorithm as an ImageJ plugin.
  • QSIM processes raw SIM images to quantitatively measure photon numbers.
  • Includes noise estimates for wide-field and sectioned images.

Main Results:

  • Demonstrated QSIM's quantitative imaging capability using 3D imaging of a mouse kidney section.
  • QSIM successfully transformed qualitative SIM data into quantitative measurements.
  • Validated the algorithm's ability to provide noise estimates.

Conclusions:

  • QSIM enhances structured illumination microscopy by adding quantitative capabilities.
  • This advancement is crucial for applications requiring precise fluorescence imaging.
  • The algorithm makes SIM suitable for absolute irradiance measurements.