- Applications of optical spectroscopic techniques for in vivo detection of tissue pathologies and physiology
- Non destructive imaging of tissue using laser speckle techniques
- Bio-optical signal / image processing
- Miniaturized optical instrumentation for clinical applications
- Modeling of light tissue interaction
About the lab:
Biophotonics lab focusses on developing non-invasive tools for disease diagnosis based optical principles. This area is highly application oriented, at the same time deeply involved in the basic sciences. Using physics of light-tissue interaction, we try to extract the chemical composition and architecture of the target tissue to understand the biology of tissue transformation during the progression of diseases. We do simulations for optimal device design, instrumentation and experimentation both at research and clinical application levels. Most projects involve large scale data analysis and interpretation using machine learning techniques. The focus is more on developing clinically viable non-invasive portable units for sensing the physiological conditions in a convenient way. For more details, please visit our website / publications.
- Desired background :
Electrical and / or Electronics Engg., Mechanical Engg., Instrumentation Engg., Chemical Engg., Optical engineering, Basic sciences, Biotechnology, Computer Science and Engg with keen interest in device development.
- Research Projects are available in the following areas:
- Intracavity perfusion imaging (Instrumentation and Image processing& analysis)
High speed tissue perfusion imaging (Instrumentation and signal processing& analysis)
Light tissue interactions in realistic tissue models for diagnostics and therapeutic applications (Mathematical simulations) and validation using standard optical instruments (data collection and analysis)
Quick tissue analysis for pathology labs (instrumentation and signal analysis)
Development of biochemical sensors using optics (Instrumentation, basic sciences, and data analysis)
Optics in functional imaging: Development of in-vivo devices (Instrumentation, basic sciences and data analysis)