Terahertz multispectral reconstructive imaging of biological spec | 9472
Journal of Clinical & Experimental Dermatology Research

Journal of Clinical & Experimental Dermatology Research
Open Access

ISSN: 2155-9554

+44 1478 350008

Terahertz multispectral reconstructive imaging of biological specimen

14th International Conference on Clinical and Experimental Dermatology

June 19-20, 2017 Philadelphia, USA

Anis Rahman, Babar Rao and Aunik Rahman

Rutgers University, USA
Applied Research & Photonics, USA

Scientific Tracks Abstracts: J Clin Exp Dermatol Res

Abstract :

Terahertz multispectral reconstructive imaging is an effective tool for soft tissue imaging without any radiation damage kike X-ray. Here, examples of biological tissue imaging are outlined to elucidate the technique. Reconstructive imaging utilizes the technique of rasterizing a specimen over a given area. ARP��?s instrument allows the T-ray beam to be focused on a given layer under the surface; therefore, a 3D volume may be rasterized on a layer by layer basis. The reflected intensity is recorded preserving the exact coordinates over which measurements are done. The intensity matrix is then converted to image via inverse gridding algorithm. The algorithm is capable of accurate representation of the measured object similar to a charged couple device as has been explained previously. Here we present images of human skin under different diseased conditions as compared with healthy skin samples. Fig. 1(a) exhibits terahertz reconstructive images of a healthy skin sample where regular cellular pattern is visible. This is expected from the healthy skin tissue. Fig. 1(b) shows an image of a skin sample diagnosed for basal cell carcinoma. As evident from Fig. 1(b), diseased skin sample has lost its regular cellular pattern which is present for the healthy skin sample. This lack of systematic cellular structure may serve as an easy visual means to indicate that there is something wrong with the sample. As outlined in reference [1], a combination of presence or absence of regular cellular structure, terahertz spectral comparison, and lack or presence or layering information is expected to serve as a fool proof diagnostic tool for different kind of skin cancers.

Biography :

Anis Rahman is an acclaimed Scientist in the field of Nanotechnology. He is a winner of many scientific awards including NASA Nanotech Brief’s “Nano-50” award twice; CLEO/Laser Focus World’s “Innovation award”. He is the Founder of a terahertz company in Harrisburg, Pennsylvania. He is a recognized Scientific Leader and Member of professional organizations including the American Chemical Society (ACS), The Optical Society of America (senior member), and the SPIE. He is the current Chair of Small Chemical Businesses Division of the ACS. He has been an author and co-author of more than 120 papers in peer reviewed journals and conference proceedings.