Improved Resolution of Chromatographic Peak Analysis using Multi-Snapshot Imaging

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Snapshot imaging has a number of advantages in automated gel electrophoresis compared with the finish-line method in capillary electrophoresis, although at the expense of resolution. This paper presents a novel signal processing algorithm enabling a multi-capture imaging modality which improves resolution. The approach takes multiple snapshots as macromolecules are electrophroresed. Peaks from latter snapshots have higher resolution but poor signal-to-noise ratio (SNR), while peaks from earlier snapshots have lower resolution but better SNR. Signals at different capture-times are related by a scale-in-separation, amplitude scaling, and an arbitrary shift. The multiple captures are realigned and fused together using least-squares estimation and a physically inspired signal model. Since partial waveforms are observed as the chromatic peaks exit the sensor's field-of-view, this is accounted for in the realignment algorithm. The proposed technique yields improved resolution, improved fragment concentration and size estimates, and allows the removal of static background noise.
Original languageEnglish
Title of host publication European Signal Processing Conference (EUSIPCO)
Publication statusPublished - 28 Aug 2016


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