Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Assessment of Diffusion and Perfusion01:17

Assessment of Diffusion and Perfusion

Understanding and evaluating diffusion and perfusion is critical in assessing a patient's respiratory and circulatory health. These processes play key roles in maintaining the body's internal environment, ensuring that tissues receive adequate oxygen while waste products are efficiently removed.
The Role of Diffusion in Respiration
Diffusion is the process by which molecules move from an area of higher concentration to an area of lower concentration. In the respiratory system, this principle...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Label-Free Prediction of EGFR Mutation Status Using Fluorescence Lifetime Imaging and Deep Learning in Lung Adenocarcinoma.

Cancer research·2026
Same author

Mechanics-free speckle contrast optical spectroscopy with liquid-lens-based adaptive illumination.

Optics letters·2026
Same author

Assessing liquid light guides in diffuse correlation spectroscopy systems.

Biomedical optics express·2025
Same author

Comparison of diffuse correlation spectroscopy analytical models for cerebral blood flow measurements.

Journal of biomedical optics·2025
Same author

A Multimodal Depression Consultation Dataset of Speech and Text with HAMD-17 Assessments.

Scientific data·2025
Same author

Fiber-Based Ultra-High-Speed Diffuse Speckle Contrast Analysis System for Deep Blood Flow Sensing Using a Large SPAD Camera.

Biosensors·2025

Related Experiment Video

Updated: May 8, 2026

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
07:13

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Published on: May 27, 2020

6.5K

Fast blood flow index reconstruction of diffuse correlation spectroscopy using a back-propagation-free data-driven

Zhenya Zang1, Mingliang Pan1, Yuanzhe Zhang1

  • 1Department of Biomedical Engineering, University of Strathclyde, 16 Richmond Street, Glasgow, G1 1XQ, United Kingdom.

Biomedical Optics Express
|March 20, 2025
PubMed
Summary

A new random vector functional link (RVFL) method rapidly reconstructs blood flow index (BFI) using diffuse correlation spectroscopy (DCS). RVFL demonstrates superior speed and accuracy compared to other algorithms, making it ideal for real-time applications.

More Related Videos

Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies
07:12

Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies

Published on: November 19, 2020

2.0K
Blood Flow Imaging with Ultrafast Doppler
05:57

Blood Flow Imaging with Ultrafast Doppler

Published on: October 14, 2020

7.5K

Related Experiment Videos

Last Updated: May 8, 2026

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
07:13

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Published on: May 27, 2020

6.5K
Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies
07:12

Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies

Published on: November 19, 2020

2.0K
Blood Flow Imaging with Ultrafast Doppler
05:57

Blood Flow Imaging with Ultrafast Doppler

Published on: October 14, 2020

7.5K

Area of Science:

  • Biomedical optics
  • Medical imaging
  • Neuroscience

Background:

  • Diffuse correlation spectroscopy (DCS) is crucial for non-invasive blood flow monitoring.
  • Accurate reconstruction of blood flow index (BFI) from DCS data is challenging.
  • Existing methods often lack speed or accuracy for real-time applications.

Purpose of the Study:

  • To introduce a fast and accurate online training method for BFI and relative BFI (rBFI) reconstruction using DCS.
  • To evaluate the performance of the random vector functional link (RVFL) algorithm for BFI reconstruction.
  • To compare RVFL with other established methods like ELM, CNN, and fitting algorithms.

Main Methods:

  • Simulated auto-correlation functions (g2) using mathematical models for homogeneous and three-layer brain models.
  • Implemented a fast online training algorithm, RVFL, for BFI reconstruction from noisy g2 data.
  • Compared RVFL's speed and accuracy against ELM, CNN, and fitting algorithms using various metrics and simulation data (MC, analytical).

Main Results:

  • RVFL achieved higher accuracy than other algorithms across different models.
  • RVFL demonstrated significantly faster training (3900x) and inference (19.8x) speeds compared to CNNs, with comparable accuracy.
  • RVFL showed better suitability for embedded hardware due to lower computational complexity.

Conclusions:

  • RVFL is a highly accurate and efficient method for online BFI and rBFI reconstruction in DCS.
  • The enhanced speed and accuracy of RVFL make it suitable for real-time monitoring and embedded systems.
  • RVFL offers a promising alternative for advanced diffuse correlation spectroscopy applications.