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Approaches for modelling autocorrelation function and data processing in time-domain diffuse correlation spectroscopy

Version 1.0

Sudakou, Aleh; Tachtsidis, Ilias; Kacprzak, Michal; Liebert, Adam; Wojtkiewicz, Stanislaw, 2026, "Approaches for modelling autocorrelation function and data processing in time-domain diffuse correlation spectroscopy", https://doi.org/10.18150/018MNB, RepOD, V1

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Description

This repository contains Monte Carlo simulation data and MATLAB scripts used in the study of modelling and data processing approaches in time-domain diffuse correlation spectroscopy (TD-DCS).

The dataset allows the analysis of different methods for modelling the normalised electric field autocorrelation function (g1), including approaches based on Monte Carlo simulations, the photon diffusion equation (DE), and the correlation diffusion equation (CDE).

The provided MATLAB scripts load the raw outputs of Monte Carlo simulations, carry out data analysis, and reproduce all results presented in the publication, including generating all figures. Please see "README.txt" for a description of how to use the script and the format of the data files. For detailed information about the Monte Carlo simulations, please refer to the publication.

The repository provides tools to investigate the impact of optical properties, source–detector separation, and time-gating on the recovery of the blood flow index (αDb) using TD-DCS, as well as to study optimisation of correlator settings such as the time bin width (Tbin).

This resource enables reproducibility of the published results and facilitates further research in time-domain diffuse correlation spectroscopy and biomedical optics.

Subject

Medicine, Health and Life Sciences

Keyword

Time-domain diffuse correlation spectroscopy, Modelling autocorrelation function, Monte Carlo simulations, Noise modelling, Blood flow index

Related Publication

Aleh Sudakou, Ilias Tachtsidis, Michal Kacprzak, Adam Liebert, and Stanislaw Wojtkiewicz.
"Approaches for Modelling Autocorrelation Function and Data Processing in Time-Domain Diffuse Correlation Spectroscopy."
Biomedical Optics Express 16, no. 12 (2025/12/01): 5315-31. https://doi.org/10.1364/BOE.577785 doi: 10.1364/BOE.577785

License

CC BY - Creative Commons Attribution 4.0

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		README.txt Plain Text - 6.0 KB - Mar 24, 2026 - 0 Downloads MD5: 30701260b079fb1058b2ff5c31051e6d License: CC BY - Creative Commons Attribution 4.0 MAIN FILE WITH INFORMATION Dokumentacja	Preview Download
		Analysis.m Plain Text - 56.9 KB - Mar 24, 2026 - 0 Downloads MD5: 3c9e278c786e29bae8be2de2a56c4d43 License: CC BY - Creative Commons Attribution 4.0 MAIN FILE FOR ALL DATA ANALYSIS	Preview Download
		MC_g_0_9.mat Unknown - 828.8 MB - Mar 24, 2026 - 0 Downloads MD5: fec2f7f4e900df0927b383b4a33dc9b4 License: CC BY - Creative Commons Attribution 4.0 Monte Carlo output data	Download
		MC_six_small_del_musp.mat Unknown - 3.4 MB - Mar 24, 2026 - 0 Downloads MD5: cfa9eef1d15a0e01abcabb21de03ca56 License: CC BY - Creative Commons Attribution 4.0 Monte Carlo output data	Download
		MC_eight_rsd.mat Unknown - 646.9 MB - Mar 24, 2026 - 0 Downloads MD5: c8a1c6834be82df10d6207ebd2b7cd36 License: CC BY - Creative Commons Attribution 4.0 Monte Carlo output data	Download
		MC_six_LARGE_del_musp.mat Unknown - 59.1 MB - Mar 24, 2026 - 0 Downloads MD5: 48a3d69ad838491cd69ede865d7269e3 License: CC BY - Creative Commons Attribution 4.0 Monte Carlo output data	Download
		MC_layered.mat Unknown - 34.9 MB - Mar 24, 2026 - 0 Downloads MD5: e074078fbd3357a1f78ab974ca43d685 License: CC BY - Creative Commons Attribution 4.0 Monte Carlo output data	Download
		MC_g_0.mat Unknown - 195.3 MB - Mar 24, 2026 - 0 Downloads MD5: 613b8ace8d6d15f1e3d8d0dcf469d1c7 License: CC BY - Creative Commons Attribution 4.0 Monte Carlo output data	Download
		calc_G1_Stan.m Plain Text - 5.3 KB - Mar 24, 2026 - 0 Downloads MD5: ea84681256fbb4a49d4fab17de2e9ec5 License: CC BY - Creative Commons Attribution 4.0 Function called by "Analysis.m"	Preview Download
		calc_G1_Stan_Liemert.m Plain Text - 2.0 KB - Mar 24, 2026 - 0 Downloads MD5: b0927fb17b1412f9a8fe3774064a6c0d License: CC BY - Creative Commons Attribution 4.0 Function called by "Analysis.m"	Preview Download

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