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Abstract #4889

Compressed Sensing with a Priori Information for Reconstruction of Remotely Detected Microfluidic Devices

Thomas Z. Teisseyre1,2, Jeffrey Paulsen2, Vik Bajaj2, Nicholas Halpern-Manners2,3, Alexander Pines2,3

1Bioengineering, UC Berkeley/UCSF, Berkeley, CA, United States; 2Materials Sciences Division, Lawrence Berkeley National Lab, Berkeley, CA, United States; 3Chemistry, UC Berkeley, Berkeley, CA, United States

We developed a novel reconstruction technique for remotely detected microfluidic NMR using prior knowledge about the chip geometry. This technique allows significant amounts of subsampling for shorter acquisition times.