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.

Task-driven Adaptive Sensing on Quadrupole Mass Filter Systems for Classification by Evan X. Chen, Wenzhao Lian, Lawrence Carin, David J. Brady

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.

- Sunday Morning Insight: How to spot a compressive sensing system: the case of the Randomized MALDI TOF MS/MS system
- Sunday Morning Insight: How to spot a compressive sensing system, the case of Fourier Transform Infra-Red Spectroscopy

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