Showing results (21-30 of 106) with videos related to
Sort By:
Pageof 11
Light, Science & Applications|March 23, 2021
Recurrent neural network-based volumetric fluorescence microscopyLuzhe Huang, Hanlong Chen, Yilin Luo, et al.Light, Science & Applications|March 7, 2019
Phase recovery and holographic image reconstruction using deep learning in neural networksYair Rivenson, Yibo Zhang, Harun Günaydın, et al.BME Frontiers|October 18, 2023
Emerging Advances to Transform Histopathology Using Virtual StainingYair Rivenson, Kevin de Haan, W Dean Wallace, et al.Optics Letters|April 15, 2015
Digital resampling diversity sparsity constrained-wavefield reconstruction using single-magnitude imageYair Rivenson, Maya Aviv Shalev, Aryeh Weiss, et al.Scientific Reports|December 1, 2016
Sparsity-based multi-height phase recovery in holographic microscopyYair Rivenson, Yichen Wu, Hongda Wang, et al.Scientific Reports|August 21, 2019
Resolution enhancement in scanning electron microscopy using deep learningKevin de Haan, Zachary S Ballard, Yair Rivenson, et al.Journal of Biophotonics|September 5, 2019
Pathological crystal imaging with single-shot computational polarized light microscopyBijie Bai, Hongda Wang, Tairan Liu, et al.Light, Science & Applications|January 12, 2021
Ensemble learning of diffractive optical networksMd Sadman Sakib Rahman, Jingxi Li, Deniz Mengu, et al.Journal of the Optical Society of America. A, Optics, Image Science, and Vision|March 4, 2008
Uncertainty principles in linear canonical transform domains and some of their implications in opticsAdrian SternPageof 11