Search Results - "Ozcan, Aydogan"
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Mobile phones democratize and cultivate next-generation imaging, diagnostics and measurement tools
Published in Lab on a chip (07-09-2014)“…In this article, I discuss some of the emerging applications and the future opportunities and challenges created by the use of mobile phones and their embedded…”
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Lensless digital holographic microscopy and its applications in biomedicine and environmental monitoring
Published in Methods (San Diego, Calif.) (01-03-2018)“…•Lensless microscopy enables high-resolution and high-throughput imaging of specimen.•Lensless imaging permits compact, field-portable and inexpensive…”
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Lensless Imaging and Sensing
Published in Annual review of biomedical engineering (11-07-2016)“…High-resolution optical microscopy has traditionally relied on high-magnification and high-numerical aperture objective lenses. In contrast, lensless…”
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Wearable and Implantable Sensors for Biomedical Applications
Published in Annual review of analytical chemistry (Palo Alto, Calif.) (12-06-2018)“…Mobile health technologies offer great promise for reducing healthcare costs and improving patient care. Wearable and implantable technologies are contributing…”
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On the use of deep learning for computational imaging
Published in Optica (20-08-2019)Get full text
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All-optical machine learning using diffractive deep neural networks
Published in Science (American Association for the Advancement of Science) (07-09-2018)“…Deep learning has been transforming our ability to execute advanced inference tasks using computers. Here we introduce a physical mechanism to perform machine…”
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Cascadable all-optical NAND gates using diffractive networks
Published in Scientific reports (03-05-2022)“…Owing to its potential advantages such as scalability, low latency and power efficiency, optical computing has seen rapid advances over the last decades. Here,…”
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Deep learning in holography and coherent imaging
Published in Light, science & applications (11-09-2019)“…Recent advances in deep learning have given rise to a new paradigm of holographic image reconstruction and phase recovery techniques with real-time…”
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All-optical information-processing capacity of diffractive surfaces
Published in Light, science & applications (28-01-2021)“…The precise engineering of materials and surfaces has been at the heart of some of the recent advances in optics and photonics. These advances related to the…”
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PhaseStain: the digital staining of label-free quantitative phase microscopy images using deep learning
Published in Light, science & applications (06-02-2019)“…Using a deep neural network, we demonstrate a digital staining technique, which we term PhaseStain, to transform the quantitative phase images (QPI) of…”
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Terahertz pulse shaping using diffractive surfaces
Published in Nature communications (04-01-2021)“…Recent advances in deep learning have been providing non-intuitive solutions to various inverse problems in optics. At the intersection of machine learning and…”
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Deep-Learning-Based Image Reconstruction and Enhancement in Optical Microscopy
Published in Proceedings of the IEEE (01-01-2020)“…In recent years, deep learning has been shown to be one of the leading machine learning techniques for a wide variety of inference tasks. In addition to its…”
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All-optical synthesis of an arbitrary linear transformation using diffractive surfaces
Published in Light, science & applications (24-09-2021)“…Spatially-engineered diffractive surfaces have emerged as a powerful framework to control light-matter interactions for statistical inference and the design of…”
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Phase recovery and holographic image reconstruction using deep learning in neural networks
Published in Light, science & applications (2018)“…Phase recovery from intensity-only measurements forms the heart of coherent imaging techniques and holography. In this study, we demonstrate that a neural…”
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Ensemble learning of diffractive optical networks
Published in Light, science & applications (11-01-2021)“…A plethora of research advances have emerged in the fields of optics and photonics that benefit from harnessing the power of machine learning. Specifically,…”
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Machine learning and computation-enabled intelligent sensor design
Published in Nature machine intelligence (01-07-2021)“…Over the past several decades the dramatic increase in the availability of computational resources, coupled with the maturation of machine learning, has…”
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Fourier Imager Network (FIN): A deep neural network for hologram reconstruction with superior external generalization
Published in Light, science & applications (16-08-2022)“…Deep learning-based image reconstruction methods have achieved remarkable success in phase recovery and holographic imaging. However, the generalization of…”
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Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissue
Published in Light, science & applications (06-05-2020)“…Histological staining is a vital step in diagnosing various diseases and has been used for more than a century to provide contrast in tissue sections,…”
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High-throughput lensfree 3D tracking of human sperms reveals rare statistics of helical trajectories
Published in Proceedings of the National Academy of Sciences - PNAS (02-10-2012)“…Dynamic tracking of human sperms across a large volume is a challenging task. To provide a high-throughput solution to this important need, here we describe a…”
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Synthetic aperture-based on-chip microscopy
Published in Light, science & applications (27-03-2015)“…Wide field-of-view (FOV) and high-resolution imaging requires microscopy modalities to have large space-bandwidth products. Lensfree on-chip microscopy…”
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