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Anis Rahman

Anis Rahman

Applied Research & Photonics, Inc,
USA

Title: Terahertz multispectral reconstructive imaging of biological specimen

Biography

Biography: Anis Rahman

Abstract

Terahertz multispectral reconstructive imaging is an effective tool for soft tissue imaging without any radiation damage [1–3] 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 [4, 5]. The algorithm is capable of accurate representation of the measured object similar to a charged couple device as has been explained previously [1, 2]. Here we present images of human skin under different diseased conditions as compared with healthy skin samples [1]. 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 are 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 ref. [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.