Rapid Imaging of Pulsed Terahertz Radiation with Spatial Light Modulators and Neural Networks
We report the first use of a convolutional neural network for terahertz (THz) imaging combined with a single-pixel camera to achieve high quality hyperspectral THz imaging 10× faster than the current commercial systems, with faster potential only limited by noise. Imaging with a spatial light modula...
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Veröffentlicht in: | ACS photonics 2021-11, Vol.8 (11), p.3150-3155 |
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description | We report the first use of a convolutional neural network for terahertz (THz) imaging combined with a single-pixel camera to achieve high quality hyperspectral THz imaging 10× faster than the current commercial systems, with faster potential only limited by noise. Imaging with a spatial light modulator (SLM) relies on projecting a set of spatial patterns onto an object and recording the transmission with a single-pixel detector, and an optical delay unit (ODU) is used to obtain the terahertz time-of-flight information. A key breakthrough in this work is to synchronize the equipment to not need any time to instruct the ODU to move while projecting the patterns. |
doi_str_mv | 10.1021/acsphotonics.1c00634 |
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title | Rapid Imaging of Pulsed Terahertz Radiation with Spatial Light Modulators and Neural Networks |
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