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Machine learning-enabled multiplexed microfluidic sensors
2020
Biomicrofluidics
High-throughput, cost-effective, and portable devices can enhance the performance of point-of-care tests. Such devices are able to acquire images from samples at a high rate in combination with microfluidic chips in point-of-care applications. However, interpreting and analyzing the large amount of acquired data is not only a labor-intensive and time-consuming process, but also prone to the bias of the user and low accuracy. Integrating machine learning (ML) with the image acquisition
doi:10.1063/5.0025462
pmid:33343782
pmcid:PMC7733540
fatcat:i6b7zqfyobbyxgctxb6tlr5k54