This repository contains Matlab code associated with the paper:
Bernd Rieger, Isabel Droste, Fabian Gerritsma, Tip ten Brink, and Sjoerd Stallinga, "Single image Fourier Ring Correlation", in review.
It consists of a set of Matlab scripts, associated with the Figures in the paper:
demo.m: A demo script that shows the main idea and how to apply 1FRC. Here we use one widefield image that is provided together with the code.simulator_1FRC.m: Simulates sensitivity of 1FRC on gain/offset/readout noise estimation.singleimageFRC_WFdataset.m: Analyses 1FRC on widefield bead data.singleimageFRC_WF2024dataset.m: Analyses 1FRC on widefield test slide data.singleimageFRC_STEDdataset.m: Analyses 1FRC on STED data.singleimageFRC_ISMdataset.m: Analyses 1FRC on ISM data.singleimageFRC_RCMdataset.m: Analyses 1FRC on RCM data.singleimageFRC_TEMdataset.m: Analyses 1FRC on TEM data.
The relevant data can be found at https://doi.org/10.4121/3f285c07-93c0-4a8a-bbcd-bc60ed749c88
The core of the numerical procedure, the random binomial data splitting, is coded in cBinomialSplit.c, which must be compiled to a mex file depending on the computer architecture. Build with mex -O BinomialSplit.c in Matlab.
All code was developed and tested in Matlab R2023a, and needs:
- DIPimage, which can be downloaded at https://diplib.org/
- the single image gain/offset estimation pcfo, which can be downloaded at ftp://qiftp.tudelft.nl/rieger/outgoing/pcfo for SIM and RC data (the required functions are included here for convineance).
- the package EMIODist2 for TEM data IO, which can be downloaded at https://nl.mathworks.com/matlabcentral/fileexchange/27021-imagic-mrc-dm-and-star-file-i-o