Optical microscope has become an indispensable tool to view objects in the sub-mm to micron to nano-scales. There has been a continuing push towards making imaging techniques more functional or “smart” so that specific properties can be probed to image samples of interest. This talk focuses on some recent advances in functional optical microscopy and its applications to real world biological and nanostructure imaging problems. First I will present my postdoctoral work in the area of nonlinear optical microscopy. I will talk about an interferometric Four-wave mixing microscopy technique and its application to single nanoparticle and focal volume imaging. I will also talk about a novel second order nonlinear optical process using vibrationally-resonant sum-frequency generation and its use in imaging chemical bond specific information from collagen, an ubiquitous bio-polymer. Next, I will present some of my more recent work in Optical imaging for Pathology applications. I will talk briefly about stain multiplexing in tissue samples on a slide, and its relevance to clinical cancer diagnosis. Finally I will conclude my talk with some new approaches to 3D imaging in a conventional microscope using computational imaging techniques.
Varun Raghunathan is currently working as a research scientist at Agilent Technologies, Santa Clara, CA USA. He obtained his PhD in 2008 from University of California Los Angeles (UCLA) for his thesis in the area of nonlinear optics in silicon photonic devices. He did a postdoctoral fellowship at the University of California Irvine chemistry department, and Beckman Laser Institute in the area of multi-photon nonlinear optical microscopy. His research interests are in Nonlinear optics and its applications to imaging and guided-wave optics, hyperspectral imaging and Nano-optics. Varun has written over 50 peer review papers and conference articles, 5 contributed book chapters and 4 patent disclosures in review. He received the Best PhD award for his doctoral thesis from UCLA EE department in 2008.