Research

You can read about our research interests on the Neurophotonics Center website:

Past Theses

  • Antonio Ortega, PhD, Nov 30, 2022, Defense Video, Thesis PDF
  • Jairui Yang, PhD, Nov 30, 2022, Defense Video, Thesis PDF
  • Smrithi Sunil, PhD, July 20, 2021, Defense Video, Thesis PDF

Published Data Archive

Starting in 2019, we are making the effort to publicly archive the data and processing code related to our published papers.

2020

Von Lühmann A, Ortega-Martinez A, Boas DA, Yücel MA. Using the General Linear Model to Improve Performance in fNIRS Single Trial Analysis and Classification: A Perspective. Frontiers in Human Neuroscience. 2020 Feb 18;14:30.

2019

Cheng X, Li Y, Mertz J, Sakadžić S, Devor A, Boas DA, Tian L. Development of a beam propagation method to simulate the point spread function degradation in scattering media. Optics Letters. 2019 Oct 15;44(20):4989-92.

 

Jianbo Tang, Sefik Evren Erdener, Smrithi Sunil, and David A. Boas “Normalized field autocorrelation function-based optical coherence tomography three-dimensional angiography,” Journal of Biomedical Optics 24(3), 036005 (13 March 2019).

  • Journal Link
  • MATLAB code and data processing guide for Optical Coherence Tomography Angiography(Link)
  • MATLAB code and data processing guide for g1OCTA(Link)

 

Cheng X, Berman AJL, Polimeni JR, Richard B. Buxton RB, Louis Gagnon L, Devor A, Sakadžić S, Boas DA. Dependence of the MR signal on the magnetic susceptibility of blood studied with models based on real microvascular networksMagn Reson Med.2019;1–10. 

 

2018

Postnov DD, Erdener SE, Kilic K, Boas DA. Cardiac pulsatility mapping and vessel type identification using laser speckle contrast imaging. Biomedical Optics Express. 2018 Dec 1;9(12):6388-97.

 

Perkins, L.N., Devor, A., Gardner, T.J., and Boas, D.A., “Extracting individual neural activity recorded through splayed optical microfibers.,” Neurophotonics 5(4), 045009 (2018).

 

Tang, J, Erdener, S E, Li, B, et al. Shear‐induced diffusion of red blood cells measured with dynamic light scattering‐optical coherence tomography. J. Biophotonics. 2018;11:e201700070.

  • Journal Link
  • MATLAB code and data processing guide for Dynamic Light Scattering-Optical Coherence Tomography(Link)

 

2017

Tang, J., Erdener, S. E., Fu, B. & Boas, D. A. Capillary red blood cell velocimetry by phase-resolved optical coherence tomography. Opt. Lett. 42, 3976–3979 (2017).

  • Journal Link
  • MATLAB code and data processing guide for phase resolved Doppler Optical Coherence Tomography(Link)