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Biophotonics Lab

Research Projects

Funding

In the biophotonics lab we use light to explore biological tissue. In particular, we are interested in non-invasive, localized functional imaging of the brain. 

Acousto Optic Imaging

(in collaboration with Prof. Sergio Fantini@ Tufts U)

  • We integrate light and sound to probe brain tissue and determine changes in perfusion.

  • Acousto-optics enables to localize the measurement volume and measure changes in blood flow.

Functional Brain Imaging:

(in collaboration with Dr. Dmitry Patashov @ Waseda U and Dr. Dmitry Goldstein @ HIT)

  • We use fNIRS (functional Near Infrared Spectroscopy) to study hemodynamic correlation maps.

  • We develop new algorithms that can assess brain disorders (such as Major Depression or ADHD), based on non-invasive NIRS data.

 

Hemodynamic assessment of epileptic seizures:

(in collaboration with Dr. Mordekhay Medvedovsky @ Hadassah MC)

  • We continuously measure changes in cerebral blood flow in patients with drug resistive epilepsy and determine spatial patterns of activity.

 

UMAMI - Ultrasound–Modulation Assisted Multiphoton Imaging

( in collaboration with Prof. Shy Shoham @ NYU Tech4Health)

Two-photon microscopy (TPM) inherently provides optical sectioning; however, it is still insufficient in preventing cross-talk between structures of interest.  Acousto-optic modulation (AOM) of light has been demonstrated to improve the resolution and depth selectivity of optical imaging inside/through scattering tissue by locally modulating coherent light. We develop a novel use of AOM in multiphoton fluorescence generating a giant, orders-of-magnitude larger modulation and enabling improved contrast and details in TPM images.

Digital Holography

(In collaboration with Prof. Natan Shaked, Tel Aviv U) - check out this video animation

Wearable sensors

We also work on developing hardware and software for making personalized wearable sensors 

Credit: Yael Avni

Detecting Epileptic seizures with EEG and Deep Learning algorithms

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  • We develop machine learning based algorithms for detecting epileptic seizures using wearable sensors

Wearable sensors for dysphagia management (MODAM)

(in collaboration with Dr. Hagit Shoffel-Havakuk and Saja Assi @ Rabin MC, and Dr. Avihai Ahaon, Dr. Heftsi Ragones, Dr. Jonathan Rubin and Yael Avni @HIT)

  • We are developing new sensors and algorithms for extracting quantitative parameters from multi-modal sensors. We focus on a wearable sensor for patients with a swallowing disorder  (dysphagia)

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