Coding of Experimental Conditions in Microfluidic Droplet Assays Using Colored Beads and Machine Learning Supported Image Analysis.
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DOI: 10.1002/smll.201802384
Abstract: To efficiently exploit the potential of several millions of droplets that can be considered as individual bioreactors in microfluidic experiments, methods to encode different experimental conditions in droplets are needed. The approach presented here is… read more here.
Keywords: coding experimental; microfluidic droplet; conditions microfluidic; droplet ... See more keywords