AIMC Topic: Optical Devices

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Learning spectral initialization for phase retrieval via deep neural networks.

Applied optics Mar 20, 2022
Phase retrieval (PR) arises from the lack of phase information in the measures recorded by optical sensors. Phase masks that modulate the optical field and reduce ambiguities in the PR problem by producing redundancy in coded diffraction patterns (CD...
Neural Networks, Computer Algorithms Computer Simulation Visual Fields Optical Devices
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Heterogeneous sensing in a multifunctional soft sensor for human-robot interfaces.

Science robotics Dec 16, 2020
Soft sensors have been playing a crucial role in detecting different types of physical stimuli to part or the entire body of a robot, analogous to mechanoreceptors or proprioceptors in biology. Most of the currently available soft sensors with compac...
Humans Neural Networks, Computer Machine Learning Algorithms Computer Simulation Biomechanical Phenomena User-Computer Interface Robotics Equipment Design Ionic Liquids Lab-On-A-Chip Devices Optical Devices
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Efficient estimation of subdiffusive optical parameters in real time from spatially resolved reflectance by artificial neural networks.

Optics letters Jun 15, 2018
Subdiffusive reflectance captured at short source-detector separations provides increased sensitivity to the scattering phase function and hence allows superficial probing of the tissue ultrastructure. Consequently, estimation of subdiffusive optical...
Neural Networks, Computer Computer Simulation Models, Theoretical Models, Biological Monte Carlo Method Scattering, Radiation Optical Devices Optical Phenomena
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