Biophotonics

Research Interests: label-free high resolution tissue imaging, non-linear microscopy, metabolic imaging, matrix characterization, in vivo flow cytometry, cancer detection, osteoarthritis, neurodegenerative diseases

Research Interests: Biomedical optics, diffuse optical imaging, functional near-infrared spectroscopy, quantitative tissue oximetry.

Research Interests: Ultrasound imaging, photoacoustic imaging, multi-modality imaging, image-guided surgery and therapeutics, nano drug delivery systems

Research Interests: Signal and image processing, tomographic image formation and object characterization, inverse problems, regularization, statistical signal and imaging processing, and computational physical modeling. Applications explored include medical imaging and image analysis, environmental monitoring and remediation, landmine and unexploded ordnance remediation, and automatic target detection and classification.

Research Interests: nanophotonics, optical beam shaping, neuroengineering, chip-scale imaging and microscopy, quantum information systems Research Website: https://sites.tufts.edu/amohanty/

Research Interests: ultrafast nonlinear optics, nanophotonics, biopolymer multifunctional materials, material science, photonic crystals, photonic crystal fibers

Research Interests: Signal processing; image processing; simulation modeling

Research Interests: computational sciences, data driven modeling

Research Interests: Biological Physics, Condensed Matter Physics, Quantum Mechanics My research interests cover a broad array of topics in biological physics and condensed matter physics. In Biological Physics our group is performing both experimental and theoretical work to uncover fundamental physical principles that underlie the formation of functional neuronal networks among neurons in the brain. One of the primary challenges in science today is to figure out how as many as 100 billion neurons are produced, grow, and organize themselves into the truly wonderful information-processing machine which is the brain. We combine high-resolution imaging techniques such as atomic force microscopy, traction force and fluorescence microscopy to measure mechanical properties of neurons and to correlate these properties with internal components of the cell. Our group is also using mathematical modeling based on stochastic differential equations to predict axonal dynamics and network formation. The aim of this work is twofold. On the one hand we are using tools and concepts from experimental and theoretical physics to understand biological processes. On the other hand, active biological processes in neuronal cells exhibit a wealth of fascinating phenomena such as pattern formation, collective behavior, and non equilibrium dynamics, and thus the insights learned from studying these biological systems broaden the intellectual range of physics. To capture the complexity of neuronal interactions we use theoretical methods from statistical mechanics and many-body physics such as: stochastic differential equations, Fokker-Planck formalism, Markov processes, effective energy landscape etc. I am also interested in the foundations of quantum mechanics, particularly in applying the theory of stochastic processes to open quantum systems. My interests in condensed matter physics includes experimental work on quantum transport in nanoscale systems (carbon nanotubes, graphene, polymer composites, hybrid nanostructures), as well as on scanning probe microscopy and the study of novel biomaterials.