Multi-Channel Speckle Contrast Optical Spectroscopy Array for Cerebral Blood Flow Sensing

Project Lead: Dr Tianrui Zhao

Department/Specialty: School of Biomedical Engineering & Imaging Science

Institution/Hospital: King’s College London

Type of research: Laboratory-Based Research

Project Code (please enter this in the application form): 06


  • This project aims to optimise the design and operating parameters of a multi-channel speckle contrast optical spectroscopy (SCOS) sensing array for non-invasive cerebral blood flow measurements. The main objectives are to determine suitable source–detector separations, assess the reproducibility and signal quality across multiple detection channels, and optimise key acquisition parameters such as exposure time, frame rate and detector configuration.  The student will collect systematic experimental data using optical phantoms and, where appropriate approvals are in place, healthy-volunteer measurements. Different source–detector geometries and acquisition settings will be compared using metrics including detected intensity, speckle contrast, signal-to-noise ratio, temporal stability and channel-to-channel variability. The resulting dataset will be used to identify an efficient and robust array configuration and will inform the design of a future high-density SCOS system for cerebral blood flow mapping.

  • Data Collection in Progress

  • The student will work closely with the research team to support the experimental optimisation of the SCOS sensing array. Their main responsibilities will include:

    * Assisting with preparation and setup of the optical sensing system and tissue-mimicking phantoms.

    * Performing systematic laboratory measurements using different source–detector separations, detector configurations, and acquisition settings.

    * Collecting and organising experimental data, ensuring that measurements and experimental conditions are clearly documented.

    * Comparing different sensing configurations and helping identify the most robust and practical array design.

    * Where appropriate approvals are in place, assisting with healthy-volunteer measurements.


    Training will be provided in the relevant optical measurement techniques, experimental procedures, and data analysis methods.

  • Project Start Date: 15 October 2026

    Estimated Duration: Flexible

    Estimated Weekly Time Commitment: 4 hours per week

  • Basic programming or coding experience (e.g. familiarity with Python, R, MATLAB etc.)

  • Please upload your CV for this research. Interviews are required.

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