Deep Photometric Learning (DPL) Systems, Apparatus and Methods
AssigneeNanotronics Imaging, Inc.
InventorsMatthew C. Putman, Vadim Pinskiy, Tanaporn Na Narong, Denis Sharoukhov, Tonislav Ivanov
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AssigneeNanotronics Imaging, Inc.
InventorsMatthew C. Putman, Vadim Pinskiy, Tanaporn Na Narong, Denis Sharoukhov, Tonislav Ivanov
Estimating the term…
An imaging system is disclosed herein. The imaging system includes an imaging apparatus and a computing system. The imaging apparatus includes a plurality of light sources positioned at a plurality of positions and a plurality of angles relative to a stage configured to support a specimen. The imaging apparatus is configured to capture a plurality of images of a surface of the specimen. The computing system in communication with the imaging apparatus. The computing system configured to generate a 3D-reconstruction of the surface of the specimen by receiving, from the imaging apparatus, the plurality of images of the surface of the specimen, generating, by the imaging apparatus via a deep learning model, a height map of the surface of the specimen based on the plurality of images, and outputting a 3D-reconstruction of the surface of the specimen based on the height map generated by the deep learning model.
An imaging system, comprising:
A method of generating a 3D-reconstruction of a surface of a specimen, comprising:
A non-transitory computer readable medium comprising one or more sequences of instructions, which, when executed by one or more processors, cause a computing system to perform operations, comprising:
Dependencies are inferred from the claim text.