1. Single-shot real-time sub-nanosecond electron imaging aided by compressed sensing: Analytical modeling and simulation
- Author
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Aycan Yurtsever, Jinyang Liang, Xianglei Liu, and Shian Zhang
- Subjects
010302 applied physics ,Physics ,Ground truth ,business.industry ,General Physics and Astronomy ,02 engineering and technology ,Cell Biology ,Nanosecond ,021001 nanoscience & nanotechnology ,01 natural sciences ,Streaking ,Data cube ,Modeling and simulation ,Compressed sensing ,Optics ,Structural Biology ,Temporal resolution ,0103 physical sciences ,General Materials Science ,0210 nano-technology ,business ,Ultrashort pulse - Abstract
Bringing ultrafast (nanosecond and below) temporal resolution to transmission electron microscopy (TEM) has historically been challenging. Despite significant recent progress in this direction, it remains difficult to achieve sub-nanosecond temporal resolution with a single electron pulse, in real-time (i.e., duration in which the event occurs) imaging. To address this limitation, here, we propose a methodology that combines laser-assisted TEM with computational imaging methodologies based on compressed sensing (CS). In this technique, a two-dimensional (2D) transient event [i.e. (x,y) frames that vary in time] is recorded through a CS paradigm, which consists of spatial encoding, temporal shearing via streaking, and spatiotemporal integration of an electron pulse. The 2D image generated on a camera is used to reconstruct the datacube of the ultrafast event, with two spatial and one temporal dimensions, via a CS-based image reconstruction algorithm. Using numerical simulation, we find that the reconstructed results are in good agreement with the ground truth, which demonstrates the applicability of CS-based computational imaging methodologies to laser-assisted TEM. Our proposed method, complementing the existing ultrafast stroboscopic and nanosecond single-shot techniques, opens up the possibility for single-shot, real-time, spatiotemporal imaging of irreversible structural phenomena with sub-nanosecond temporal resolution.
- Published
- 2019