Multi-Snapshot Imaging for Chromatographic Peak Analysis

Abstract

Snapshot imaging has several advantages in automated gel electrophoresis compared with the finish-line method in capillary electrophoresis; this comes at the expense of resolution. A novel signal processing algorithm is proposed enabling a multisnapshot imaging (MSI) modality whose objective is to substantially improve resolution. MSI takes multiple-captures in time as macromolecules are electrophoresed. Peaks from latter snapshots have high resolution, but low signal-to-noise ratio (SNR), while earlier snapshots have low resolution, but high SNR. Signals at different capture-times are related by a scale-in-separation, shift-in-separation, and amplitude gain. The proposed method realigns the multiple captures using least-squares and fuses them. The algorithm accounts for the partial waveforms observed as the chromatic peaks exit the sensor's field-of-view. MSI improves resolution by approximately [Formula: see text] on average per minute of additional electrophoresis. Comprehensive analysis of the resolution quantified on several data sets demonstrates the effectiveness of MSI. MSI can double the resolution compared with traditional snap-shot imaging over a typical set of captures.