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Updated: Jan 22, 2026

Molecular Diffusion in Plasma Membranes of Primary Lymphocytes Measured by Fluorescence Correlation Spectroscopy
Published on: February 1, 2017
Effects of the instrument response function and the gate width in time-domain diffuse correlation spectroscopy: model
Lorenzo Colombo1, Marco Pagliazzi2, Sanathana Konugolu Venkata Sekar1
1Politecnico di Milano, Dipartimento di Fisica, Milano, Italy.
A new model improves blood flow (BF) estimation using time-domain diffuse correlation spectroscopy (TD-DCS) by accounting for instrument response. This enhances signal-to-noise ratio for in vivo applications.
Area of Science:
- Biomedical Optics
- Noninvasive Physiological Monitoring
- Optical Spectroscopy
Background:
- Time-domain diffuse correlation spectroscopy (TD-DCS) is a promising noninvasive optical technique.
- TD-DCS aims to measure blood flow (BF) and optical properties in biological tissues.
- Challenges exist in TD-DCS due to finite temporal resolution and gate width.
Purpose of the Study:
- To investigate the impact of finite temporal resolution and gate width on TD-DCS experiments.
- To develop a model for accurate BF retrieval from gated intensity autocorrelations.
- To enhance signal-to-noise ratio for in vivo TD-DCS applications.
Main Methods:
- Developed a model incorporating the instrument response function for BF retrieval from gated autocorrelations.
- Utilized numerical simulations with varying optical properties and source-detector separations.
- Conducted experiments using a homogeneous phantom to validate the model.
Main Results:
- The proposed model significantly reduced BF estimation errors in simulations (34% to 3%) and phantom experiments (37% to 2%).
- Broad time gates can be effectively used, improving signal-to-noise ratio.
- The model demonstrated accuracy across diverse optical properties and experimental configurations.
Conclusions:
- The developed model provides a robust tool for analyzing TD-DCS data, particularly for in vivo measurements.
- Accounting for the instrument response function is crucial for accurate BF quantification in TD-DCS.
- This work offers physical insights for optimizing TD-DCS system performance and data analysis.
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