Augmented light field tomography through parallel spectral encoding.
Zhaoqiang WangTzung K HsiaiLiang GaoPublished in: Optica (2023)
Snapshot recording of transient dynamics in three dimensions (3-D) is highly demanded in both fundamental and applied sciences. Yet it remains challenging for conventional high-speed cameras to address this need due to limited electronic bandwidth and reliance on mechanical scanning. The emergence of light field tomography (LIFT) provides a new solution to these long-standing problems and enables 3-D imaging at an unprecedented frame rate. However, based on sparse-view computed tomography, LIFT can accommodate only a limited number of projections, degrading the resolution in the reconstructed image. To alleviate this problem, we herein present a spectral encoding scheme to significantly increase the number of allowable projections in LIFT while maintaining its snapshot advantage. The resultant system can record 3-D dynamics at a kilohertz volumetric frame rate. Moreover, by using a multichannel compressed sensing algorithm, we improve the image quality with an enhanced spatial resolution and suppressed aliasing artifacts.
Keyphrases
- image quality
- dual energy
- high speed
- computed tomography
- high resolution
- electron microscopy
- atomic force microscopy
- optical coherence tomography
- deep learning
- single molecule
- positron emission tomography
- mental health
- machine learning
- magnetic resonance imaging
- mass spectrometry
- magnetic resonance
- cerebral ischemia
- fluorescence imaging
- brain injury
- blood brain barrier