EXP-SA: DSP Algorithms for Silicon Ion-Channel Sensors

本研究的目的是开发信号处理算法，用于处理来自硅离子通道传感器的数据，以识别特定化学物质的存在。硅离子通道传感器是含有孔蛋白的人造细胞膜，嵌入在硅芯片中，当孔与目标化学物质相互作用时，可以测量通过孔的电流。这项工作将应用先进的信号处理技术，如隐马尔可夫、谱减法和噪声自适应估计，在离子通道工程中用于爆炸探测。该研究利用一些现有的原型来捕获实验数据，以建立信号响应数据库。私立学校在招收和指导少数族裔和女性学生方面有着悠久的历史。离子通道的努力将包括在本科课程和远程学习的努力。

The objective of this research is to develop signal processing algorithms for processing data from silicon ion-channel sensors to identify the presence of particular chemicals. Silicon ion-channel sensors are artificial cell membranes containing pore proteins, embedded in a silicon chip that measures current through the pores as the pores interact with target chemicals. This work will apply advanced signal processing techniques such as Hidden Markov, spectral subtraction and adaptive estimation of noise in the engineering of ion channels for explosive detection. The study leverages some existing prototypes to capture experimental data to build signal response databases. The PIs have a strong history of recruiting and mentoring minority and women students. The ion-channel efforts are to be included in undergraduate courses and in distance learning efforts.