Abstract #4889

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

Thomas Z. Teisseyre^1,2, Jeffrey Paulsen², Vik Bajaj², Nicholas Halpern-Manners^2,3, Alexander Pines^2,3

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.