Reducing detection limits of porous silicon thin film optical sensors using signal processing

Simon J. Ward; Sharon M. Weiss

doi:10.1117/12.2579361

16 March 2021 Reducing detection limits of porous silicon thin film optical sensors using signal processing

Simon J. Ward, Sharon M. Weiss

Proceedings Volume 11662, Frontiers in Biological Detection: From Nanosensors to Systems XIII; 116620J (2021) https://doi.org/10.1117/12.2579361
Event: SPIE BiOS, 2021, Online Only

Abstract

We present a signal processing method capable of significantly lowering the detection limit of thin film optical biosensors. This signal processing method, which we term LAMP, is based on Morlet wavelet filtering and extracting phase information. LAMP drastically reduces noise contributions typically encountered in sensor measurements. The noise immunity, sensitivity and linearity of LAMP is benchmarked against several other signal processing methods by applying the different techniques to a large set of simulated porous silicon thin film optical spectra that contain various types of noise signatures. The LAMP signal processing technique opens up new applications in disease detection and environmental monitoring for thin film sensors previously precluded by insufficient detection limits.

Conference Presentation

Citation Download Citation

Simon J. Ward and Sharon M. Weiss "Reducing detection limits of porous silicon thin film optical sensors using signal processing", Proc. SPIE 11662, Frontiers in Biological Detection: From Nanosensors to Systems XIII, 116620J (16 March 2021); https://doi.org/10.1117/12.2579361

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