Single-shot ultrafast imaging based on round-view projection (RVP)
Current ultrafast imaging techniques necessitate single-shot continuous recording capabilities to capture non-repetitive ultrafast phenomena. Among various methods, projection-based ultrafast imaging methods have garnered significant attention due to their ability to acquire multiple frames in a single exposure. However, the reconstruction accuracy of these methods is fundamentally constrained by the limited number of projection directions and partial angular coverage. In this study, we introduce a spectral-temporal ultrafast imaging system based on the round-view projection (RVP), which enables comprehensive data acquisition through multiple quasi-omnidirectional projections, facilitating effective compression and reconstruction of spatiotemporal data cubes. Numerical simulations demonstrate that the RVP achieves superior reconstruction fidelity by capturing quasi-omnidirectional characteristic information. In the experimental works, we captured the dynamics of laser-induced air plasma, such as shockwave propagations and plasma expansion, with 22 frames in a single shot. This work not only presents a robust ultrafast imaging methodology but also provides valuable insight for advancing related ultrafast imaging research.
Authors
- Fei Yin (ORCID: https://orcid.org/0000-0002-6412-9140)
- Yizhao Meng
- Qing Yang (ORCID: https://orcid.org/0000-0003-1170-3978)
- Feng Chen (ORCID: https://orcid.org/0000-0002-7031-7404)
- Pengfei Zhang (ORCID: https://orcid.org/0000-0003-2914-7332)
- Yi Liu (ORCID: https://orcid.org/0000-0003-2577-3811)
- Lu Yu (ORCID: https://orcid.org/0009-0000-4722-4587)
Institutions
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Applied Physics Letters
- Published
- 2025-05-05
- DOI
- https://doi.org/10.1063/5.0263821
- Citations
- 5
- Primary Topic
- Advanced Optical Sensing Technologies
- Type
- article
- Field-Weighted Citation Impact
- 5.96
Funders
- National Natural Science Foundation of China
- Natural Science Basic Research Program of Shaanxi Province