Spotlight Publication “Morlet Wavelet Filtering and Phase Analysis to Reduce the Limit of Detection for Thin Film Optical Biosensors” published in ACS Sensors
About the author: Simon Ward is currently a Ph.D. student in the Department of Electrical and Computer Engineering under the direction of Dr. Sharon Weiss. In recently published work, he proposed a signal processing method capable of significantly lowering the detection limit of thin film optical biosensors. The signal processing method drastically reduces noise contributions typically encountered in sensor measurements by using complex Morlet wavelet convolution and extracted phase information to filter out white noise and low-frequency reflectance variations. Application of the signal processing method is demonstrated on single-layer porous silicon optical biosensors operating in both buffered solutions and complex media, and opens up new applications in disease detection and environmental monitoring for thin film sensors previously inaccessible due to insufficient detection limits.