FIG 1 (IMAGE)
Caption
Figure 1: Speckle Reconstructive Spectrometry Based on the Physics-Aware Neural Network (PhyspeNet). (a) Working principle of speckle reconstructive spectrometry. (b) Workflow of PhyspeNet for spectrum reconstruction from a single observed speckle pattern. (c) The empirically measured transmission matrix model outperforms analytical models in characterizing the physical propagation process in disordered spectral encoding systems. The right panel showcases several representative spectral encoding systems where light undergoes disordered propagation. Only a subset is shown here, while PhyspeNet is generalizable to more hardware platforms capable of calibrating the transmission matrix.
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