Check out our latest paper in Neurophotonics! Lead author Hongting Zhao explores the influence on the choice of source-detector separation on the accuracy of brain blood flow measured with DCS. It is well known that perfusion in the scalp and skull can significantly influence Diffuse Correlation Spectroscopy (DCS) estimations of brain blood flow. Analytical approaches that model the head as a layered structure aim to minimize these influences. Here we demonstrate that the choice of source-detector separations when using these models is imperative to minimize errors in the estimation of brain blood flow.

Check out our latest paper in Frontiers of Neurology. In this work, we used NIRS and DCS to monitor the effects of blood transfusion on the brain in children with sickle cell disease. The results demonstrate how diffuse optical spectroscopies may be a promising bedside tool for real-time monitoring and for goal-directed therapy aimed at reducing stroke risk in sickle cell disease. Congrats to lead authors Rowan Brothers and Paul Lee!

Congratulations to Dr. Eashani Sathialingam who successfully defended her Ph.D. thesis entitled “The Theoretical and Translational Advancement of Diffuse Correlation Spectroscopy Measurements of Blood Flow”. While pursuing her PhD under the Biomedical Engineering department at Georgia Tech and Emory University, Dr. Sathialingam has published multiple first-author journal articles and presented her research at numerous national and international conferences. She was awarded F31 NIH fellowship for her work, as well as the Andy Zebrowitz Memorial Brain Research Fellowship Fund. We wish the best for Dr. Sathialingam on her future journey.