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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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Ground State Depletion Super-resolution Imaging in Mammalian Cells
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Calibration-Free Single-Molecule Absolute Quantification Using Super-resolution Microscopy.

Guang Li1,2, Qiqing Zhang1

  • 1Institute of Biomedical Engineering, The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, Shenzhen 518020, P. R. China.

Analytical Chemistry
|April 7, 2021
PubMed
Summary
This summary is machine-generated.

We developed a new method, crucial connected-component entropy (CCCE), for accurate single-molecule (SM) counting using super-resolution imaging. This approach improves quantification without calibration, aiding biomarker discovery and diagnostics.

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Area of Science:

  • Biophysics
  • Biochemistry
  • Molecular Biology

Background:

  • Single-molecule (SM) quantification is vital in life sciences.
  • Super-resolution (SR) imaging enhances the study of individual molecules, including disease biomarkers.
  • Accurate molecular counting is crucial for understanding cellular mechanisms.

Purpose of the Study:

  • To introduce an absolute quantification method for SR SM detection.
  • To achieve subresolution accuracy in SM counting.
  • To provide a calibration-free approach for SM analysis.

Main Methods:

  • Development of the crucial connected-component entropy (CCCE) quantification approach.
  • Implementation of a cross-validation analytical pipeline using SM profiling.
  • Application to super-resolution single-molecule detection platforms.

Main Results:

  • CCCE achieves subresolution accuracy for SM quantification.
  • The method demonstrates high efficiency, accuracy, and robustness.
  • Cross-validation confirms nanoscale performance assessments.

Conclusions:

  • CCCE offers a reliable alternative to existing SM quantification strategies.
  • This protocol facilitates precise molecular counting in complex biological systems.
  • Potential applications include biochemistry research, drug discovery, and molecular diagnostics.