The Poisson perspective – counting out false positives episode artwork

EPISODE · Oct 30, 2024 · 17 MIN

The Poisson perspective – counting out false positives

from Absolute Gene-ius · host Dave Bauer, Christina Bouwens, Jordan Ruggieri

The statistics of Poisson distributions can seem complex at first but are simpler than you think, which is important to know given their relevance to digital PCR. In short, they dictate the confidence you can have in the absolute quantification provided by dPCR. Dr. Dave Bauer, Thermo Fisher Scientific’s very own dPCR Product Applications Specialist and statistics whiz, joins us once again for this short-but-sweet episode that’s a must hear for those working with rare, or low-abundance PCR targets. Dave and the hosts talk about applications like cancer research where these types of samples are common, and then get into the details of how the Applied Biosystems QuantStudio Absolute Q Digital PCR System works to provide elegantly simple technologies like false positive rejection, background subtraction, low dead volume microfluidic array plates, and a master mix with chamber loading dye. Join us to learn what each of these are all about and how they help to provide confidence and reliability in results that matter for your precious samples. Visit the Absolute Gene-ius pageto learn more about the guests, the hosts, and the Applied Biosystems QuantStudio Absolute Q Digital PCR System.  Visit the Absolute Gene-ius page to learn more about the guests, hosts, and science featured in the series. Explore how Applied Biosystems™ QuantStudio™ Digital and Real-Time PCR Systems support research across neuroscience, oncology, agriculture, and more.

Episode metadata supplied by the publisher feed · Published Oct 30, 2024

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We return to the topic of Poisson statistics do delve a bit deeper into how digital PCR handles topics like false positives or ow abundance and rare targets. Dave Bauer is once again our statistics and math guru that brings his easy talking ways along with a depth of experience to give real-world examples that drive the concepts home.

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The Poisson perspective – counting out false positives

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