His primary areas of investigation include Microscopy, Optics, Holography, Artificial intelligence and Microscope. His Microscopy research includes elements of Wide field, Image sensor, Nanotechnology and Fluorescence microscope. His study in Pixel, Image resolution, Lens, Fluorescence and Numerical aperture is carried out as part of his studies in Optics.
His work deals with themes such as Amplitude, Phase, Aperture and Sample, which intersect with Holography. His Artificial intelligence study combines topics in areas such as Machine learning and Computer vision. His Microscope study incorporates themes from Background light, Detector array and Sensor array.
His primary areas of study are Optics, Microscopy, Artificial intelligence, Holography and Microscope. Lens, Image resolution, Sample, Resolution and Image sensor are the primary areas of interest in his Optics study. In his research, Plasmon is intimately related to Nanotechnology, which falls under the overarching field of Microscopy.
His research in Artificial intelligence intersects with topics in Machine learning and Computer vision. His Holography study integrates concerns from other disciplines, such as Image processing, Pixel and Iterative reconstruction. His Microscope research is multidisciplinary, incorporating perspectives in Optoelectronics, Computer hardware and Numerical aperture.
Artificial intelligence, Deep learning, Artificial neural network, Optics and Microscopy are his primary areas of study. His Artificial intelligence study combines topics from a wide range of disciplines, such as Holography, Optical computing, Computer vision and Pattern recognition. His Holography research incorporates themes from Image processing and Detection limit.
He has researched Deep learning in several fields, including Detector, Sample, Machine vision, Fluorescence microscope and Electronic engineering. He has included themes like Encoder, Spectrometer, Object, Resolution and Terahertz radiation in his Artificial neural network study. His Microscopy research includes elements of Computer architecture and Deep neural networks.
His primary areas of investigation include Artificial intelligence, Deep learning, Optical computing, Biomedical engineering and Artificial neural network. His Artificial intelligence research incorporates elements of Gold standard, Polarization Microscopy and Detector. His research integrates issues of Inverse problem, Machine vision, Computer vision, Terahertz radiation and Electronic engineering in his study of Deep learning.
His work in Computer vision tackles topics such as Microscopy which are related to areas like Fluorescence microscope, Autofocus and Fluorescence. The subject of his Fluorescence microscope research is within the realm of Optics. Aydogan Ozcan combines subjects such as Image processing and Substrate with his study of Optics.
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Lensfree microscopy on a cellphone.
Derek Tseng;Onur Mudanyali;Cetin Oztoprak;Serhan O. Isikman.
Lab on a Chip (2010)
Emerging Technologies for Next-Generation Point-of-Care Testing
Sandeep Kumar Vashist;Peter B. Luppa;Leslie Y. Yeo;Aydogan Ozcan.
Trends in Biotechnology (2015)
Compact, light-weight and cost-effective microscope based on lensless incoherent holography for telemedicine applications
Onur Mudanyali;Derek Tseng;Chulwoo Oh;Serhan O. Isikman.
Lab on a Chip (2010)
Imaging without lenses: achievements and remaining challenges of wide-field on-chip microscopy
Alon Greenbaum;Wei Luo;Ting-Wei Su;Zoltán Göröcs.
Nature Methods (2012)
All-optical machine learning using diffractive deep neural networks
Xing Lin;Yair Rivenson;Nezih T. Yardimci;Muhammed Veli.
Integrated rapid-diagnostic-test reader platform on a cellphone.
Onur Mudanyali;Stoyan Dimitrov;Uzair Sikora;Swati Padmanabhan.
Lab on a Chip (2012)
Phase recovery and holographic image reconstruction using deep learning in neural networks
Yair Rivenson;Yibo Zhang;Harun Günaydın;Da Teng.
Light-Science & Applications (2018)
Lensfree on-chip microscopy over a wide field-of-view using pixel super-resolution
Waheb Bishara;Ting-Wei Su;Ahmet F. Coskun;Aydogan Ozcan.
Optics Express (2010)
Optofluidic Fluorescent Imaging Cytometry on a Cell Phone
Hongying Zhu;Sam Mavandadi;Ahmet F. Coskun;Oguzhan Yaglidere.
Analytical Chemistry (2011)
Deep learning microscopy
Yair Rivenson;Zoltán Göröcs;Harun Günaydin;Yibo Zhang.
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