Thursday, April 30, 2015

Task-driven Adaptive Sensing on Quadrupole Mass Filter Systems for Classification

David Brady the man behind compressive hyperspectral imaging is at it again with colleagues. He now investigates some hardware and adaptive sensing to perform some mass spectroscopic measurements. This is important as the next step after the whole genome sequencing adventure starts with understanding the proteins produced by the genome. 

An information-theoretical adaptive sensing and classification framework is proposed for Quadrupole mass filter systems. The proposed algorithm designs the most discriminative measurement adaptively by maximizing the mutual information between  the  class  label  and  the  next  measurement  conditioned  on  all  previous measurements.  The  proposed  adaptive  sensing  algorithm  significantly  reduces  the number  of  measurements  needed  and  improves  classification  accuracy  compared with random measurement design. Simulation result on a 76-class mass spectra data library shows a 100% positive detection rate using only 7% adaptive measurements. The reduction of measurements shortens the mass analysis time and theoretically can reduce the required amount of compound material present in the sample for analysis, which potentially increases the sensitivity of the quadrupole mass filter systems.
somehow related:

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