Droplet Quantification
Droplet Quantification - Related Videos
07:37
Circulating MicroRNA Quantification Using DNA-binding Dye Chemistry and Droplet Digital PCR
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Cited by 10 •
2016
A sensitive and accurate method for cell-free microRNAs quantification using a dye-based chemistry and droplet digital PCR technology is described.
08:39
Quantification of Circular RNAs Using Digital Droplet PCR
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Cited by 8 •
2022
This protocol describes the detailed method of digital droplet PCR (dd-PCR) for precise quantification of circular RNA (circRNA) levels in cells using divergent primers.
09:50
Digital Droplet PCR Method for the Quantification of AAV Transduction Efficiency in Murine Retina
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2021
This protocol presents how to quantify AAV transduction efficiency in mouse retina using digital droplet PCR (dd-PCR) together with small scale AAV production, intravitreal injection, retinal imaging, and retinal genomic DNA isolation.
13:10
Title Cell Encapsulation by Droplets
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Cited by 4 •
2007
14:16
Fluorescence detection methods for microfluidic droplet platforms
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Cited by 20 •
2011
Droplet-based microfluidic platforms are promising candidates for high throughput experimentation since they are able to generate picoliter, self-compartmentalized vessels inexpensively at kHz rates. Through integration with fast, sensitive and high resolution fluorescence spectroscopic methods, the large amounts of information generated within these systems can be efficiently extracted, harnessed and utilized.
FAQs
Accuracy depends on measuring the appropriate combination of droplet number, dimensions, volume, and signal intensity. Controlled droplet generation helps produce populations that can be compared consistently, while imaging or fluorescence detection supplies measurable features. Image segmentation is also critical because it separates individual droplets before calculations, supporting reliable concentration estimates and improved reproducibility across experimental conditions.
Fluorescence detection provides a signal-based way to separate droplet populations according to their measured contents. Image analysis can then identify droplets with detectable signal as positive partitions and distinguish them from negative partitions. Counting these groups supports concentration estimates in droplet-based biological assays and allows researchers to compare partition patterns between experimental conditions.
Size and volume measurements show how consistently a dispersed liquid system has been formed and provide a basis for comparing droplet populations. These values are especially relevant when characterizing emulsions or encapsulating cells and biomolecules, because differences in droplet dimensions can affect how populations are interpreted and whether measurements remain comparable across conditions.
A typical workflow begins with controlled droplet generation, followed by imaging or fluorescence detection of the dispersed system. Image analysis then segments individual droplets and calculates selected properties, such as number, dimensions, volume, concentration, or signal intensity. Researchers can use these outputs to compare droplet populations and evaluate assay measurements across experimental conditions.
The approach combines image-based measurements with optional fluorescence information. Imaging supports segmentation and calculation of droplet number, dimensions, and volume, whereas fluorescence detection adds information about signal intensity and partition status. Together, these approaches suit microfluidic experiments and biological assays in which researchers need both physical characterization and content-related measurements.
It is useful for assessing emulsions, characterizing droplets that contain cells or biomolecules, and determining positive and negative partitions in droplet-based assays. The resulting measurements help researchers compare populations across conditions, estimate concentrations, and evaluate experimental consistency. This makes quantification relevant whenever droplet structure or contents affect interpretation of a biological experiment.