Efficient Optical Pattern Detection for Microcavity Sensors Based Lab-on-a-Chip

A framework of optical lab-on-a-chip using porous silicon microcavity membrane is presented in this paper. With measured results of the membrane, reflectance spectra detection is designed and implemented on FPGA. We manage to detect the shift of the resonant dip to distinguish target molecule solution of different concentration. To evaluate the feasibility of lab-on-a-chip, we further model the cost and performance of on-chip optical sensors and data processing system. The novel optical lab-on-a-chip will enable detection of biological samples at a much higher sensitivity than classic electrochemical methods. The efficient detecting algorithm will ensure the speed of pattern detection even when the lab-on-a-chip system has to deal with data from multiple channels.