Aydogan Ozcan Holography Portfolio

2022-252 Fourier Imager Network (FIN): A Deep Neural Network for Hologram Reconstruction with Superior External Generalization

2022-001 Computer-Free, All-Optical Reconstruction of Holograms Using Diffractive Networks

2021-210 Holographic Image Reconstruction With Phase Recovery and Autofocusing Using Recurrent Neural Networks

2019-950 Computational Cytometer Based on Magnetically-Modulated Coherent Imaging and Deep Learning

2019-737 Deep Learning-Based Color Holographic Microscopy

2019-464 Cross-Modality Deep Learning Brings Bright-Field Microscopy Contrast to Holography

2019-346 Low-Cost And Portable UV Holographic Microscope For High-Contrast Protein Crystal Imaging

2018-674 Extended Depth-Of-Field In Holographic Image Reconstruction Using Deep Learning-Based Auto-Focusing And Phase-Recovery

2017-093 Rapid, Portable And Cost-Effective Yeast Cell Viability And Concentration Analysis Using Lensfree On-Chip Microscopy And Machine Learning

2014-9AG Wide-Field Computational Imaging of Pathology Slides Using Lensfree On-Chip Microscopy

2014-784 Tunable Vapor Condensed Nano-Lenses

2012-699 High-Throughput Lensfree 3D Tracking of Human Sperms Reveals Rare Statistics of Helical Trajectories

2011-373 Lens-free Tomographic Imaging

2011-045 Holographic Opto-Fluidic Microscopy

2011-044 Automated Semen Analysis Using Holographic Imaging

2010-595 Lensfree Wide-Field Fluorescent Imaging on a Chip Using Compressive Decoding

2009-454 Nano-Plasmonic Lucas: Towards Mega-Throughput, Label-Free Genomics and Proteomics: Revolutionizing Micro-Array Technologies Using...

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