Hopgood JR, Connelly M, McHoull B, Troy D. Multi-Snapshot Imaging for Chromatographic Peak Analysis.
IEEE Trans Biomed Eng 2018;
66:119-129. [PMID:
29993422 DOI:
10.1109/tbme.2018.2826144]
[Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
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 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.
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 least-squares and fuses them. The algorithm accounts for the partial waveforms observed as the chromatic peaks exit the sensor's field-of-view.
RESULTS
MSI improves resolution by approximately [Formula: see text] on average per minute of additional electrophoresis.
CONCLUSIONS
Comprehensive analysis of the resolution quantified on several data sets demonstrates the effectiveness of MSI.
SIGNIFICANCE
MSI can double the resolution compared with traditional snap-shot imaging over a typical set of captures.
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