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Computational 3D surface microscopy from terabytes of data with a self-supervised reconstruction algorithm

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Abstract

We present a computational 3D profilometric microscope employing an array of 54 cameras and 3-axis scanning to produce multi-TB datasets per sample. Using stereo and sharpness cues, our self-supervised reconstruction algorithm generates 6-gigapixel reconstructions with micron-scale resolution across >110 cm2.

© 2023 The Author(s)

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