Aydogan Ozcan

发表

Deep learning-enabled computational microscopy and sensing (Conference Presentation)

Aydogan Ozcan, 2019 .

Integrated rapid-diagnostic-test reader platform on a cellphone.

Aydogan Ozcan, Onur Mudanyali, Stoyan Dimitrov, 2012, Lab on a chip.

Fluorescent imaging over an ultra-large field-of-view of 532 cm2 using a flatbed scanner

Aydogan Ozcan, Zoltán Göröcs, Yuye Ling, 2014, Photonics West - Biomedical Optics.

Three-dimensional virtual refocusing of fluorescence microscopy images using deep learning

Aydogan Ozcan, Yair Rivenson, Laurent A. Bentolila, 2019, Nature Methods.

Imaging without lenses: achievements and remaining challenges of wide-field on-chip microscopy

Aydogan Ozcan, Ting-Wei Su, Wei Luo, 2012, Nature Methods.

Field-Portable Pixel Super-Resolution Colour Microscope

Aydogan Ozcan, Wei Luo, Alon Greenbaum, 2013, PloS one.

Multi-angle illumination with pixel super-resolution enables lensfree on-chip tomography

Aydogan Ozcan, Oguzhan Yaglidere, Serhan O. Isikman, 2011 .

Toward giga-pixel nanoscopy on a chip: a computational wide-field look at the nano-scale without the use of lenses.

Aydogan Ozcan, Euan McLeod, Wei Luo, 2013, Lab on a chip.

Enhancing resolution in coherent microscopy using deep learning

Yibo Zhang, Aydogan Ozcan, Tairan Liu, 2019 .

Partially coherent lensfree tomographic microscopy [Invited].

Aydogan Ozcan, Waheb Bishara, Serhan O Isikman, 2011, Applied optics.

Diffractive optical neural networks designed by deep learning (Conference Presentation)

Aydogan Ozcan, Aydogan Ozcan, 2019, Metamaterials, Metadevices, and Metasystems 2019.

Keynote speakers: Computational imaging: How much imaging - How much computation?

David A. Forsyth, Aydogan Ozcan, Marc Walton, 2016, ICCP.

Portable Imaging Flow-Cytometer Using Deep Learning-Based Holographic Image Reconstruction

Vittorio Bianco, Aydogan Ozcan, Yichen Wu, 2019 .

Computational cytometer based on magnetically modulated coherent imaging and deep learning

Yibo Zhang, Aydogan Ozcan, Tairan Liu, 2019, Light: Science & Applications.

Lensfree Optofluidic Microscopy and Tomography

Aydogan Ozcan, Serhan O. Isikman, Waheb Bishara, 2011, Annals of Biomedical Engineering.

Speckle reduction in optical coherence tomography images using digital filtering.

Aydogan Ozcan, Adrien E Desjardins, Brett E Bouma, 2007, Journal of the Optical Society of America. A, Optics, image science, and vision.

Handheld, lensless microscope identifies malaria parasites

Aydogan Ozcan, Oguzhan Yaglidere, Ting-Wei Su, 2011 .

Lens-Free Imaging for Biological Applications

Ali Khademhosseini, Aydogan Ozcan, Sang Bok Kim, 2012, Journal of laboratory automation.

Mobile Technologies for the Discovery, Analysis, and Engineering of the Global Microbiome.

Aydogan Ozcan, Calvin Brown, Zachary S. Ballard, 2018, ACS nano.

Wide-field computational color imaging using pixel super-resolved on-chip microscopy.

Aydogan Ozcan, Alon Greenbaum, Alborz Feizi, 2013, Optics express.

Lensfree Fluorescent On-Chip Imaging using Compressive Sampling.

Aydogan Ozcan, Ting-Wei Su, Ahmet F Coskun, 2010, Optics and photonics news.

Smart-phone based computational microscopy using multi-frame contact imaging on a fiber-optic array.

Aydogan Ozcan, Derek Tseng, Isa Navruz, 2013, Lab on a chip.

PHOTONICS SOCIETY 2009 TOPIC COMMITTEES

Osamu Matoba, Masaya Notomi, Hooman Mohseni, 2009 .

Cellphone-based devices for bioanalytical sciences

Aydogan Ozcan, Onur Mudanyali, Roland Zengerle, 2014, Analytical and Bioanalytical Chemistry.

Deep Learning-designed Diffractive Neural Networks

Aydogan Ozcan, Muhammed Veli, Mona Jarrahi, 2019 .

Deep Learning-enabled Coherent Imaging Achieves Early Detection and Classification of Bacteria in Water Samples

Aydogan Ozcan, Yair Rivenson, Esin Gumustekin, 2021, 2021 Conference on Lasers and Electro-Optics (CLEO).

Roadmap on digital holography [Invited].

Gordon Wetzstein, Bahram Javidi, Pietro Ferraro, 2021, Optics express.

Spectrally encoded machine vision using trainable materials

Aydogan Ozcan, Muhammed Veli, Deniz Mengu, 2021 .

Computational imaging without a computer: seeing through random diffusers at the speed of light

Aydogan Ozcan, Jingxi Li, Yair Rivenson, 2021, eLight.

All-optical information processing capacity of diffractive networks

Aydogan Ozcan, Deniz Mengu, Yair Rivenson, 2021, Emerging Topics in Artificial Intelligence (ETAI) 2021.

Single-Pixel Machine Vision Using Spectral Encoding Through Diffractive Optical Networks

Aydogan Ozcan, Muhammed Veli, Deniz Mengu, 2021, 2021 Conference on Lasers and Electro-Optics (CLEO).

Misalignment Tolerant Diffractive Optical Networks

Aydogan Ozcan, Deniz Mengu, Yair Rivenson, 2021, Conference on Lasers and Electro-Optics.

Virtual refocusing of fluorescence images using an engineered point-spread function and deep learning

Aydogan Ozcan, Yichen Wu, Yair Rivenson, 2021, Emerging Topics in Artificial Intelligence (ETAI) 2021.

Deep Learning-enabled Computational Microscopy

Aydogan Ozcan, 2021, Proceedings of the Microscience Microscopy Congress 2021 incorporating EMAG 2021.

Deep learning-based spectral reconstruction on a chip using a scalable plasmonic encoder

Aydogan Ozcan, Yair Rivenson, Artem Goncharov, 2021, 2021 Conference on Lasers and Electro-Optics (CLEO).

Neural network-based single-shot autofocusing of microscopy images

Aydogan Ozcan, Yair Rivenson, Luzhe Huang, 2021, 2021 Conference on Lasers and Electro-Optics (CLEO).

Diffractive all-optical computing for quantitative phase imaging

Aydogan Ozcan, Deniz Mengu, Aydogan Ozcan, 2022, arXiv.org.

A cost-effective system for automated early antimicrobial susceptibility testing using deep learning

Aydogan Ozcan, Derek Tseng, Omai B. Garner, 2021 .

Design of Scale-, Shift- and Rotation-Invariant Diffractive Optical Networks

Aydogan Ozcan, Deniz Mengu, Yair Rivenson, 2021, Emerging Topics in Artificial Intelligence (ETAI) 2021.

Optics and Biophotonics in Low-Resource Settings VII

David Levitz, Aydogan Ozcan, 2021 .

Terahertz applications of diffractive optical networks

Aydogan Ozcan, 2021, Terahertz Emitters, Receivers, and Applications XII.

Label-free analysis of micro-algae populations using a high-throughput holographic imaging flow cytometer and deep learning

Aydogan Ozcan, Kevin de Haan, Zoltán Göröcs, 2021 .

Label-Free Virtual HER2 Immunohistochemical Staining of Breast Tissue using Deep Learning pdf

Aydogan Ozcan, Jingxi Li, Yair Rivenson, 2021, BME frontiers.

Diffractive optical neural networks

Aydogan Ozcan, 2021, AI and Optical Data Sciences II.

Machine learning and computation-enabled intelligent sensor design

Aydogan Ozcan, A. M. Madni, Asad M. Madni, 2021, Nature Machine Intelligence.

Broadband diffractive optical networks

Aydogan Ozcan, Muhammed Veli, Deniz Mengu, 2021 .

Deep learning-based transformation of H&E stained tissues into special stains

Aydogan Ozcan, Tairan Liu, Yair Rivenson, 2020, Nature Communications.

Deep-learning-based compact spectrum analyzer on a chip

Aydogan Ozcan, Yair Rivenson, Artem Goncharov, 2021 .

Information processing capacity of diffractive surfaces

Aydogan Ozcan, Deniz Mengu, Yair Rivenson, 2021 .

Ensemble learning boosts the inference accuracy of diffractive neural networks

Aydogan Ozcan, Deniz Mengu, Jingxi Li, 2021, Emerging Topics in Artificial Intelligence (ETAI) 2021.

Deep learning-based computational cytometer using magnetically-modulated coherent imaging

Aydogan Ozcan, Tairan Liu, Dino Di Carlo, 2021 .

Classification and reconstruction of spatially overlapping phase images using diffractive optical networks pdf

Aydogan Ozcan, Muhammed Veli, Deniz Mengu, 2021, Scientific Reports.

Diffractive network-based single-pixel machine vision

Aydogan Ozcan, Muhammed Veli, Deniz Mengu, 2021, Emerging Topics in Artificial Intelligence (ETAI) 2021.

Deep learning-based multiplexed virtual staining of unlabeled tissue for micro-structured stain blending

Aydogan Ozcan, Jingxi Li, Yair Rivenson, 2021 .

All-optical synthesis of an arbitrary linear transformation using diffractive surfaces

Aydogan Ozcan, Deniz Mengu, Yair Rivenson, 2021, Light, science & applications.

Few-shot Transfer Learning for Holographic Image Reconstruction using a Recurrent Neural Network

Aydogan Ozcan, Luzhe Huang, Xilin Yang, 2022, APL Photonics.

Deep learning-based single-shot autofocusing of microscopy images

Aydogan Ozcan, Yair Rivenson, Yilin Luo, 2021 .

Cascadable all-optical NAND gates using diffractive networks pdf

Aydogan Ozcan, Deniz Mengu, Yi Luo, 2021, Scientific Reports.

eLight: enlightening and exploring light

Aydogan Ozcan, Cheng-Wei Qiu, 2021 .

Optical detection and sizing of single nanoparticles using continuous wetting films.

Jean-Marc Dinten, Aydogan Ozcan, Euan McLeod, 2013, ACS nano.

Unconventional methods of imaging: computational microscopy and compact implementations

Aydogan Ozcan, Euan McLeod, E. Mcleod, 2016, Reports on progress in physics. Physical Society.

Giga-pixel fluorescent imaging over an ultra-large field-of-view using a flatbed scanner.

Aydogan Ozcan, Yuye Ling, Qingshan Wei, 2013, Lab on a chip.

Tunable Vapor-Condensed Nanolenses

Aydogan Ozcan, Euan McLeod, Muhammed Veli, 2014, ACS nano.

High-throughput and label-free single nanoparticle sizing based on time-resolved on-chip microscopy.

Aydogan Ozcan, Euan McLeod, Muhammed Veli, 2015, ACS nano.

Ferrodrop Dose-Optimized Digital Quantification of Biomolecules in Low-Volume Samples.

Aydogan Ozcan, Derek Tseng, Dino Di Carlo, 2018, Analytical chemistry.

Lensfree color imaging on a nanostructured chip using compressive decoding.

Aydogan Ozcan, Gabriel Biener, Ikbal Sencan, 2010, Applied physics letters.

Cross-modality super-resolution in fluorescence microscopy enabled by generative adversarial networks (Conference Presentation)

Aydogan Ozcan, Yair Rivenson, Zhensong Wei, 2019, Optical Sensing, Imaging, and Photon Counting: From X-Rays to THz 2019.

Highly Stable and Sensitive Nucleic Acid Amplification and Cell-Phone-Based Readout.

Aydogan Ozcan, Derek Tseng, Dino Di Carlo, 2017, ACS nano.

Deep Learning Enables Virtual Histological Staining of Label-Free Tissue Sections Using Auto-Fluorescence

Aydogan Ozcan, Yair Rivenson, Zhensong Wei, 2019 .

Quantitative Fluorescence Sensing Through Highly Autofluorescent, Scattering, and Absorbing Media Using Mobile Microscopy.

Aydogan Ozcan, Derek Tseng, Hatice Ceylan Koydemir, 2016, ACS nano.

Research highlights: digital assays on chip.

Aydogan Ozcan, Dino Di Carlo, Qingshan Wei, 2015, Lab on a chip.