CORDIS Project
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This project develops DropTrack, a user-friendly software for tracking and analyzing droplets in microfluidic experiments. By utilizing advanced deep-learning algorithms, it aims to streamline data analysis, enabling real-time feedback and improving efficiency in various industrial and life science applications.
Microfluidics technology targets droplet manipulation by confining fluids to manufacture materials for many industrial applications and life sciences.
Data analysis obtained by microfluidic experiments remains a bottleneck to this day due to the lack of a reliable interface converting raw observations to informative data fast enough and at low operating costs.
Many computer vision tools exist, which permit to infer useful physical information from video data but they typically target specific ph…
FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA
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