Biophotonics, Internet Plenary Lecture


Jeremiah Wierwille 1, Peter Andrews 2, Maristela Onozato 2,
Joseph K. Melancon 2, James Jiang 3, Alex Cable 3, Yu Chen 1

1 Fischell Department of Bioengineering, University of Maryland, USA
2 Georgetown University Medical School, USA
3 Thorlabs, Inc., USA

Discussion Live Chat


In this study, we investigated the feasibility of Doppler optical coherence tomography (DOCT) to image kidney microcirculation, specifically, glomerular blood flow. DOCT captures 3D data in real time, which enables label-free quantification of blood flow. Kidneys of adult, male Munich-Wistar rats (n=3) were exposed through laparotomy procedure. Following exposure of the kidney beneath the DOCT microscope, glomerular blood flow was observed by scanning the surface. The effects of acute mannitol and angiotensin II infusion were also observed. Glomerular blood flow was quantified for the induced physiological states and compared with baseline measurements. Glomerular volume, cumulative Doppler volume, and Doppler flow range parameters were computed from 3D OCT/DOCT data sets. Glomerular size was determined from OCT, and Doppler parameters were determined from DOCT. After infusion of mannitol, a significant increase in blood flow was observed and quantified, and following infusion of angiontensin II, a significant decrease in blood flow was observed and quantified. Also, Doppler flow histograms were produced to illustrate differences in capillary blood flow and Doppler volume among the induced physiological states. Dynamic changes in blood flow were detected under altered physiological conditions in vivo demonstrating the real-time imaging capability of DOCT. Furthermore, we translated this technology into clinics to image human patients (n=5) after kidney transplantation. Kidney microstructures and renal blood flow can be visualized by the handheld OCT/DOCT probe in vivo. This method holds promise to allow real-time imaging of kidney blood flow for transplant graft evaluation or monitoring of altered renal hemodynamics related to disease progression.

Representing author


Prof. Yu Chen

Fischell Department of Bioengineering, University of Maryland, Assistant Professor
College Park, MD, USA

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