Adaptive signal sampling for high throughput, broadband impedance spectroscopy
نویسنده
چکیده
High throughput applications using broadband impedance spectroscopy as method for label free detection are limited by measurement speed and the enormous amount of raw data. Although often ignored, the fastest method for determining the passive electrical properties is the processing of the answer after step excitation. Sampling with constant time interval is common but not feasible for real time applications. Only adaptive sampling ensures high bandwidth of the measurement but still acceptable data volume. Exponentially decaying relaxations are typical answers of biological objects to step functions. Sampling of these signals using gradually increasing integration times does not violate the sampling theorem and allows comparatively simple data processing.
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