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


Published Data Archive

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


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. 



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)



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)