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Related Concept Videos

Super-resolution Fluorescence Microscopy01:37

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Related Experiment Video

Updated: Sep 10, 2025

Quantitative Immunofluorescence to Measure Global Localized Translation
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Non-Uniform Illumination Correction for Quantitative Fluorescence Imaging.

Yue Wang1,2, Yongqiang Liu1,2, Beini Sun1,2

  • 1Key Laboratory of Laser Life Science, Ministry of Education, College of Biophotonics, School of Optoelectronic Science and Engineering, South China Normal University, Guangzhou, Guangdong, China.

Microscopy Research and Technique
|August 27, 2025
PubMed
Summary
This summary is machine-generated.

Systematic Uniform Fluorescence Image Correction (SUFIC) improves quantitative microscopy by correcting non-uniform illumination. This efficient prospective method requires minimal reference images, enhancing accuracy in fluorescence resonance energy transfer (FRET) imaging.

Keywords:
fluorescence imagingillumination correctionillumination uniformityquantitative FRET

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Area of Science:

  • Microscopy and Imaging Technologies
  • Biophysics
  • Quantitative Fluorescence Imaging

Background:

  • Illumination uniformity is critical for accurate quantitative analysis in fluorescence microscopy.
  • Existing retrospective correction methods struggle with limited image data, while prospective methods require frequent recalibration.
  • Non-uniform illumination significantly impacts quantitative fluorescence resonance energy transfer (FRET) measurements.

Purpose of the Study:

  • To theoretically and experimentally analyze the effect of non-uniform illumination on quantitative FRET.
  • To introduce Systematic Uniform Fluorescence Image Correction (SUFIC), a novel prospective illumination correction method.
  • To evaluate the efficacy of SUFIC compared to existing methods.

Main Methods:

  • Theoretical analysis of illumination non-uniformity's impact on FRET.
  • Development and application of the Systematic Uniform Fluorescence Image Correction (SUFIC) method.
  • Experimental validation using fluorescent microspheres, Argo-HM slides, and live cells expressing FRET constructs.

Main Results:

  • SUFIC significantly improved field uniformity in Argo-HM slide images (27.45% to 65.30%).
  • SUFIC enhanced signal-to-background ratios in FRET images by 12.3%, 7.9%, and 20.9%.
  • SUFIC requires a minimum of three reference images, substantially fewer than CIDRE and BaSiC methods.

Conclusions:

  • SUFIC is a highly efficient prospective method for illumination correction in quantitative microscopy.
  • The method offers improved accuracy and reduced recalibration needs for fluorescence imaging.
  • SUFIC demonstrates broad applicability across various biological samples and FRET studies.