Digital PCR and the QuantStudio™ 3D Digital PCR System.

The great promise of digital PCR is the potential for unparalleled precision enabling accurate measurements for detection and quantification of genetic material. This chapter walks the reader through the fundamentals of digital PCR technology including digital PCR modeling using Poisson statistics. It describes a highly successful implementation of digital PCR technology using the chip-based nanofluidic Applied Biosystems™ QuantStudio™ 3D digital PCR system.

Poisson Plus Quantification for Digital PCR Systems.

Digital PCR, a state-of-the-art nucleic acid quantification technique, works by spreading the target material across a large number of partitions. The average number of molecules per partition is estimated using Poisson statistics, and then converted into concentration by dividing by partition volume. In this standard approach, identical partition sizing is assumed.

Digital PCR modeling for maximal sensitivity, dynamic range and measurement precision.

The great promise of digital PCR is the potential for unparalleled precision enabling accurate measurements for genetic quantification. A challenge associated with digital PCR experiments, when testing unknown samples, is to perform experiments at dilutions allowing the detection of one or more targets of interest at a desired level of precision. While theory states that optimal precision (Po) is achieved by targeting ~1.

Time frequency characterization of evoked brain activity in multiple electrode recordings.

This paper explores global time frequency approaches to EEG data analysis with the Wigner Distribution Function and the Symmetric Ambiguity Function. The task chosen was to characterize the activity profile of EEG signals in sample Frontal, Central and Occipital electrodes from human subjects, coincident with the perception of a reversal in the orientation of a bistable Necker cube figure. The result of this analysis has implications for blind signal processing as the goal was to identify an unknown input source eliciting the observed EEG signals.