Time-of-flight measurements of single-layer tissue with a chip-based optical frequency comb

Time-of-flight measurements of single-layer tissue with a chip-based optical frequency comb

Li, Nan (TU Delft Mechanical, Maritime and Materials Engineering)

Zhang, B. (mentor)
Bhattacharya, N. (mentor)
Iskander-Rizk, Sophinese (graduation committee)
Hunt, A. (graduation committee)

Delft University of Technology

Mechanical Engineering | Micro-optics and Optomechatronics

2023-08-29

Cerebral oxygen saturation is an important indicator that reflects the oxygen metabolism of the brain tissues in such patients. The utilization of near-infrared spectroscopy (NIRS) enables the identification of the oxygen saturation levels in nearby tissues by analyzing the distinct oxygenation states of hemoglobin-oxyhemoglobin (HbO2) and the distinctive molecular spectrum of deoxygenated hemoglobin (Hb). It is helpful to realize the objective of noninvasive continuous detection on cerebral oxygen saturation because near-infrared radiation can directly penetrate the skull to obtain the characteristics of the average oxygen saturation of the brain tissues. This also allows a noninvasive way to monitor blood flow in the brain. A frequency comb is a pulsed laser in the time domain and a sequence of discrete, uniformly spaced frequency lines in the frequency domain. Applying the frequency comb to NIRS has the potential to develop a high-speed and fs-level time-of-flight resolution blood flow measurement system. The objective of this thesis is to utilize a chip-based optical frequency comb as an illuminating source in order to conduct time-of-flight measurements of a single target, employing a Michelson interference experiment. The establishment of the time of flight in the single-layer case and the investigation of the non-ambiguity range form the fundamental basis for future experiments multi-layer.

Optical Frequency Comb
Time of Flight
Spectral interferometry
Spectral Analysis

http://resolver.tudelft.nl/uuid:19060499-e1be-430b-b985-9ec60f137936

Student theses

master thesis

© 2023 Nan Li