Multi-Snapshot Imaging for Chromatographic Peak Analysis

2018 IEEE Transactions on Biomedical Engineering  
Objective: 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 multi-snapshot imaging (MSI) modality whose objective is to substantially improve resolution. MSI takes multiplecaptures in time as macromolecules are electrophoresed. Peaks from latter snapshots have high resolution but low signal-tonoise ratio
more » ... al-tonoise ratio (SNR), while earlier snapshots have low resolution but high SNR. Methods: 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 leastsquares and fuses them. The algorithm accounts for the partial waveforms observed as the chromatic peaks exit the sensor's fieldof-view. Results: MSI improves resolution by approximately 10% on average per minute of additional electrophoresis. Conclusions: Comprehensive analysis of the resolution are quantified on several datasets demonstrate the effectiveness of MSI. Significance: MSI can double the resolution compared with traditional snapshot imaging over a typical set of captures.
doi:10.1109/tbme.2018.2826144 pmid:29993422 fatcat:hi5zi4mf4fa4thvstxzo3ioyee