What is he best known for?
The fields of study he is best known for:
- Optics
- Artificial intelligence
- Statistics
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 most cited work include:
- Lensfree microscopy on a cellphone. (375 citations)
- All-optical machine learning using diffractive deep neural networks (374 citations)
- Phase recovery and holographic image reconstruction using deep learning in neural networks (366 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Optics (39.19%)
- Microscopy (33.17%)
- Artificial intelligence (29.27%)
What were the highlights of his more recent work (between 2019-2021)?
- Artificial intelligence (29.27%)
- Deep learning (18.37%)
- Artificial neural network (9.27%)
In recent papers he was focusing on the following fields of study:
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.
Between 2019 and 2021, his most popular works were:
- Analysis of Diffractive Optical Neural Networks and Their Integration With Electronic Neural Networks (40 citations)
- Deep-Learning-Based Image Reconstruction and Enhancement in Optical Microscopy (29 citations)
- Point-of-Care Serodiagnostic Test for Early-Stage Lyme Disease Using a Multiplexed Paper-Based Immunoassay and Machine Learning. (17 citations)
In his most recent research, the most cited papers focused on:
- Optics
- Artificial intelligence
- Laser
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.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
