Abstract
We report a coded aperture temporal compressive digital holographic microscopy (CATCHY) system to capture high-speed high-resolution samples by integrating snapshot compressive imaging (SCI) into digital holographic microscopy. Specifically, a two-dimensional (2D) detector samples a 4D (x, y, z, t) spatiotemporal data in a compressive manner, and after this, an efficient deep learning-based video SCI reconstruction algorithm is employed to reconstruct the desired 4D data cube. Up to ten high-resolution microscopic images are reconstructed from a snapshot measurement captured by our CATCHY system. Experimental results demonstrate the potential to visualize the 3D dynamic process of micro-nanostructures and imaging biological samples with high spatial and temporal resolution.
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