Did You Know that dPCR Partitioning Methods & Consistency are Critical to Getting Reliable Results?
Digital PCR (dPCR) can provide many advantages when implemented into your genetic workflows. However, choosing the right dPCR system is important to get accuracy and precision in your results.
Digital PCR can be done by limiting dilution or the Poisson method. The Poisson method, which required samples be partitioned into thousands of subreactions, is the most common for dPCR. Sample partitioning can be accomplished by separation into microwells or chambers, or by droplet formation using liquid emulsion.
Separation into microwells and chambers sounds easy but there are drawbacks to this method of partitioning. Specifically, there are inevitable plate-to-plate variations in well and chamber volume. More importantly, the filling of wells and chambers is not verified or reported, which means that the dPCR partition volumes may not be accurately known or consistent. Since the accuracy and precision of partition volume relates to the accuracy and precision of dPCR results through Poisson statistics, these microwell and chamber partitioning methods can produce inaccurate and imprecise dPCR results.
Sample partitioning into droplets using emulsion is unique to Bio-Rad Droplet Digital™ PCR (ddPCR™) gets the extra “d” that makes such a difference. A time-tested microfluidic system is used to make aqueous droplets of the sample within a non-aqueous emulsion. Droplet size and shape are dictated by physics and a decade of product refinement means droplets are formed with picoliter (pL) precision and accuracy. Droplet volumes have been valuded by third parties and in-insturment QC rejects the rare droplets that are too small or large. Because ddPCR technology produced sample partition droplets of high accuracy and precision, you can count on getting ddPCR results that are accurate and precise.
Only Droplet Digital PCR delivers the greatest precision, accuracy, and sensitivity. Learn more: https://info.bio-rad.com/what-differe...
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