Signal processing for T-ray biosensor systems

Bradley Ferguson; Derek Abbott

doi:10.1117/12.418754

16 March 2001 Signal processing for T-ray biosensor systems

Bradley Ferguson, Derek Abbott

Proceedings Volume 4236, Smart Electronics and MEMS II; (2001) https://doi.org/10.1117/12.418754
Event: Smart Materials and MEMS, 2000, Melbourne, Australia

Abstract

Pulsed terahertz (T-ray) imaging systems represent an extremely promising method of obtaining sub-millimetre spectroscopic measurements for a wide range of applications. This paper investigates a number of techniques for optimally processing terahertz data. Specifically we consider wavelet de-noising and Wiener deconvolution algorithms. A goal of this research is the design and implementation of a high speed, compact and portable T-ray imaging system. This system will draw heavily on MOEMS technology. A significant challenge in the development of such a system is the development of efficient software algorithms to perform signal recognition and imaging operations in real time. This paper takes the example application of a smart bio-sensor for surface tumours and investigates the signal processing techniques amenable to the tasks of efficiently de-convolving the system response, de-noising and extracting the salient features from the terahertz response waveform.

Citation Download Citation

Bradley Ferguson and Derek Abbott "Signal processing for T-ray biosensor systems", Proc. SPIE 4236, Smart Electronics and MEMS II, (16 March 2001); https://doi.org/10.1117/12.418754

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available