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Single-molecule localization microscopy based on denoising, interpolation and local maxima.

Tao Cheng1

  • 1School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, No. 268 Avenue Donghuan, Chengzhong District, Liuzhou, Guangxi 545006, P. R. China.

Microscopy (Oxford, England)
|November 22, 2022
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Summary

A new denoising, interpolation, and local maxima (DIL) method accurately localizes single fluorescent molecules. This faster technique achieves ~18nm precision, comparable to existing Gaussian fitting algorithms.

Keywords:
denoisingfluorescence microscopyinterpolationlocal maximumsuper-resolution

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Area of Science:

  • Optical Microscopy
  • Nanotechnology
  • Biophysics

Background:

  • Accurate single-molecule localization is crucial for super-resolution imaging.
  • Traditional methods face challenges with noise and computational speed.

Purpose of the Study:

  • To introduce a novel, efficient single-molecule localization method.
  • To evaluate the accuracy and speed of the proposed technique.

Main Methods:

  • Developed a denoising, interpolation, and local maxima (DIL) algorithm.
  • Applied DIL to low-resolution raw images to generate super-resolution pixel-sized images.
  • Extracted local maxima to identify fluorescent molecule positions.

Main Results:

  • DIL method demonstrated high accuracy in localizing single fluorescent molecules.
  • Simulations showed ~18nm localization accuracy with Gaussian noise variance of 0.01.
  • Experimental results confirmed DIL's performance comparable to Gaussian fitting, with improved speed.

Conclusions:

  • The DIL method provides a fast and accurate approach for single-molecule localization.
  • This technique offers a viable alternative to conventional Gaussian fitting algorithms in super-resolution microscopy.