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Microfluidic array plate technology: enabling powerfully simple digital PCR
Unlock the power of microfluidic array plate (MAP) technology and experience a new level of confidence in your digital PCR (dPCR) experiments. Our solution is designed to overcome many of the common the limitations in existing dPCR workflows. Discover why researchers worldwide are choosing QuantStudio Absolute Q dPCR using MAP technology for its exceptional simplicity, consistency, and advanced analysis capabilities.
Figure 1. Zoomed in MAP16 dPCR plate with microchambers
Digital PCR you can trust
Background subtraction and false positive rejection that cuts through the noise
In this podcast episode, explore how the QuantStudio Absolute Q Digital PCR System with microfluidic array plate (MAP) technology is designed to help simplify workflows and enhance accuracy with features like automated false positive rejection, integrated background subtraction, and low dead volume microfluidic plates. Gain expert insights from Dave Bauer, PhD, on these innovations.
Visit the Absolute Gene-ius Podcast page to learn more about the guest, the hosts, and the QuantStudio Absolute Q system.
Simplify your workflow, amplify your results.
With MAP technology, creating robust and consistent dPCR reactions has never been easier. Say goodbye to the complexities of multi-instrument and multi-step methods. Our single instrument and single non-moving plate design help create a user-friendly workflow to empower researchers of all skill levels to achieve reproducible results without extensive training. Focus on your research, while MAP handles the rest.
Consistency you can count on
MAP helps enable exceptional consistency, generating repeatable numbers of microchambers with every reaction. MAP's unique process eliminates the need for physical displacement or fluidic shearing methods while helping deliver superior consistency, reduced reagent waste, and overall greater volume precision. Experience accurate quantification like never before.
Advanced analysis at your fingertips
MAP technology creates a foundation for the advanced analysis software of our QuantStudio Absolute Q dPCR systems. This software helps empower you with a range of sophisticated analysis capabilities that go beyond what conventional dPCR systems can offer. Experience the power of AI-backed false positive rejection and sophisticated background subtraction, both of which help enable you to gain deeper insights into your reactions, help enhance data interpretation, and help improve confidence in dPCR results.
Figure 4. MAP16 plate showing multiplexed run using 4 channels.
Why does the number of microchambers analyzed matter?
Because statistics are at the root of dPCR analysis. Using Poisson modeling (below), both the total number of microchambers analyzed and the microchamber volume are used to calculate final concentrations from dPCR reactions. So it is critical for both of these variables to be highly consistent and calculated precisely. MAP technology improves consistency in total acceptable microchambers, overall volume precision, and, as a result, overall quantification.
Using Poisson modeling (above), both the total number of microchambers analyzed and the microchamber volume are used to calculate final concentrations from dPCR reactions. So it is critical for both of these variables to be highly consistent and calculated precisely. MAP technology improves consistency in total acceptable microchambers, overall volume precision, and, as a result, overall quantification.
Follow dMIQE best practices to help improve reproducibility
Familiar with the Minimum Information for Publication of Quantitative Real Time PCR Experiments (MIQE)? This same group of experts got together in 2013 to tackle dPCR and more recently revised these guidelines in 2020. The Minimum Information for Publication of Quantitative Digital PCR (dMIQE) guidelines, much like their qPCR predecessor, aim to enhance the credibility and reproducibility of dPCR experiments. These guidelines focus on improving transparency and accuracy in reporting dPCR data across different laboratories.
One important topic covered by the dMIQE guidelines is the understanding of one of the fundamental difference between qPCR and dPCR for quantification: Poisson statistics. To delve deeper into this topic and many others, we invite you to explore our informative article series. These articles highlight key recommendations from the dMIQE guidelines, providing valuable support for conducting high-quality dPCR experiments.
For Research Use Only. Not for use in diagnostic procedures.