Our work was featured on the front page of Massachusetts General Hospital Website!
High-definition Mid-Infrared Spectroscopic Imaging
Our paper featured on the cover of Analyst
We Won!

Hello!

I'm Rohith Reddy, a scientist and engineer working in biomedical imaging. I'm currently a post-doctoral fellow at Harvard Medical School and Massachusetts General Hospital in Boston. I completed my Ph.D. in Bioengineering in 2013 at the University of Illinois at Urbana Champaign and obtained my Bachelor’s in Electrical Engineering from Indian Institute of Technology (IIT) Madras.

My research interests involve building new medical devices for cancer detection based on infrared optics. In these devices, we typically shine (laser) light on a certain region in the human body. A portion of this light comes back from tissue after scattering and absorption inside the tissue. This light that comes back is not random. In fact, the structure of cells and specific molecular composition of tissue is what determines what light comes back and at what wavelengths. By understanding how light scatters and absorbs, and by studying light-tissue interaction at different wavelengths, we can create a picture of what is going on inside the tissue. We can even see microscopic cellular structures and create high resolution images from which it is possible to determine if the tissue has a certain disease. Here is more about my work.

Mid-Infrared Spectroscopic Imaging

Most organic molecules absorb specific wavelengths of light in the mid-infrared region of the electromagnetic spectrum and this absorption pattern can be used to identify molecules. These absorption spectra in the "fingerprint region" is the basis of mid-infrared spectroscopic imaging. Mid-infrared spectroscopic imaging is one of the most promising chemical and functional imaging tools available today. It has found several biomedical applications and we have demonstrated its utility in prostate, breast and colon cancer detection.

Optical Coherence Tomography

Optical Coherence tomography (OCT) is a technique that makes it possible to see deep inside an object using light without cutting the object. It is one of the most promising biomedical diagnostic tools available today. It is a non-invasive tomography technique that provides three dimensional images of tissue without sectioning or puncturing with a needle. We can use OCT for non-invasive disease diagnosis in a variety of diseases including glaucoma, Barrett's esophagus, Celiac Disease, etc.

High-Definition Imaging

Image quality in infrared spectroscopic imaging can be improved dramatically by an appropriate redesign of instruments. Theoretical insights obtained from modeling light propagation through the entire instrument have guided a design that has resulted in high-definition imaging wherein the important image details are now accessible. This has improved the accuracy of cancer detection using infrared spectroscopic imaging.

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