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Illumination Angular Spectrum Encoding for Controlling the Functionality of Diffractive Networks
Matan Kleiner, Lior Michaeli, Tomer Michaeli
Diffractive neural networks have recently emerged as a promising framework for all-optical computing. However, these networks are typically trained for a single task, limiting thei…
Coherence Awareness in Diffractive Neural Networks
Matan Kleiner, Lior Michaeli, Tomer Michaeli
Diffractive neural networks hold great promise for applications requiring intensive computational processing. Considerable attention has focused on diffractive networks for either…
Multicolor localization microscopy by deep learning
Eran Hershko*, Lucien E. Weiss*, Tomer Michaeli +1
Deep learning has become an extremely effective tool for image classification and image restoration problems. Here, we apply deep learning to microscopy, and demonstrate how neural…
Deep-STORM: super-resolution single-molecule microscopy by deep learning
Elias Nehme, Lucien E. Weiss, Tomer Michaeli +1
We present an ultra-fast, precise, parameter-free method, which we term Deep-STORM, for obtaining super-resolution images from stochastically-blinking emitters, such as fluorescent…