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Official MATLAB implementation of the "SACD" -v0.2.0

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SACDm

Fater super-resolution fluctuation imaging: SACD reconstruction with MATLAB.
v0.2.0


This repository is for SACD reconstruction, and it will be in continued development. It is distributed as accompanying software for publication: Weisong Zhao et al. Enhanced detection of fluorescence fluctuation for high-throughput super-resolution imaging, Nature Photonics (2023). Please cite SACD in your publications, if it helps your research.


SACD reconstruction

Instruction

  • The SACD reconstruction requires resolution-related parameter to execute deconvolution, you can give it with objective-NA; wavelength (nm); and pixel-size (nm), or just provide resolution and pixel-size, or feed it with your own-PSF. Here are 3 examples:
SRimg = SACDm(imgstack, 'pixel', 65, 'NA', 1.3, 'wavelength', 561);
SRimg = SACDm(imgstack, 'pixel', 65, 'resolution', 250);
SRimg = SACDm(imgstack, 'psf', ownpsf);
  • Please try help to get the API.
addpath(genpath('SACDm')); 
help SACDm
  • Regarding the SACD SR frame visualization, it can be scaled with a gamma correction according to the bSOFI setting.
background = 0.02; order = 2;
SRimg2vis = real(SRimg.^0.5);
SRimg2vis(SRimg2vis < order * background * max(SRimg2vis(:))) = 0;
figure(2);imshow(SRimg2vis, [], 'colormap', hot)

Two demos can also be found at the SACDj release v1.1.3.

Declaration

This repository contains the MATLAB source code for SACD .

If you are not a MATLAB user, you can have a try on the imagej version of SACD: SACDj.



Version

  • v0.2.0 Sparse-SACD reconstruction core
  • v0.1.0 SACD reconstruction core

Related links:

Plans
  • Full FRC assisted SACD;
  • Full 3D-SACD;
  • GPU acceleration.

Open source SACDm

This software and corresponding methods can only be used for non-commercial use, and they are under Open Data Commons Open Database License v1.0.

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