Dr. Aykut Argun Profile

Dr. Aykut Argun

at Göteborgs Univ

SPIE Involvement:

Author

Publications (9)

Proceedings Article | 5 October 2023 Presentation

Presentation

Playing with active matter

Agnese Callegari, Angelo Barona Balda, Aykut Argun, Giovanni Volpe

Proceedings Volume PC12649, PC1264909 (2023) https://doi.org/10.1117/12.2677289

KEYWORDS: Particles, Robots, Thermodynamics, Robotics, Physics, Microscopy, Microfabrication, Medicine, Biomedical applications, Biology

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Proceedings Article | 4 October 2022 Presentation

Presentation

Characterization of anomalous diffusion with neural networks (Conference Presentation)

Stefano Bo, Aykut Argun, Falko Schmidt, Ralf Eichhorn, Giovanni Volpe

Proceedings Volume PC12204, PC1220414 (2022) https://doi.org/10.1117/12.2633077

KEYWORDS: Diffusion, Neural networks, Speckle, Physics, Excel, Biology

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Proceedings Article | 1 August 2021 Presentation

Presentation

Quantitative digital microscopy with deep learning

Benjamin Midtvedt, Saga Helgadottir, Aykut Argun, Jesús Pineda, Daniel Midtvedt, Giovanni Volpe

Proceedings Volume 11804, 1180413 (2021) https://doi.org/10.1117/12.2596979

KEYWORDS: Microscopy, Video microscopy, Image analysis, Physics, Particles, Biology

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Proceedings Article | 1 August 2021 Presentation

Presentation

Classification and measurement of anomalous diffusion using recurrent neural networks

Stefano Bo, Aykut Argun, Falko Schmidt, Ralf Eichhorn, Giovanni Volpe

Proceedings Volume 11804, 1180419 (2021) https://doi.org/10.1117/12.2592679

KEYWORDS: Diffusion, Neural networks, Switching, Switches, Statistical analysis, Speckle

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Proceedings Article | 1 August 2021 Presentation

Presentation

Enhanced force-field calibration via machine learning

Aykut Argun, Tobias Thalheim, Stefano Bo, Frank Cichos, Giovanni Volpe

Proceedings Volume 11798, 117981S (2021) https://doi.org/10.1117/12.2593655

KEYWORDS: Calibration, Machine learning, Particles, Thermodynamics, Neural networks, Biophysics

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Proceedings Article | 1 August 2021 Presentation

Presentation

Characterization of feedback systems with time delay using machine learning

Aykut Argun, Tobias Thalheim, Stefano Bo, Frank Cichos, Giovanni Volpe

Proceedings Volume 11804, 1180414 (2021) https://doi.org/10.1117/12.2593592

KEYWORDS: Machine learning, Stochastic processes, Particles, Neural networks, Bacteria

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Proceedings Article | 20 August 2020 Presentation

Presentation

Digital video microscopy with deep learning

Saga Helgadottir, Aykut Argun, Giovanni Volpe

Proceedings Volume 11469, 1146918 (2020) https://doi.org/10.1117/12.2566918

KEYWORDS: Particles, Video microscopy, Detection and tracking algorithms, Image segmentation, Digital imaging, Convolutional neural networks, Computer simulations, Image processing algorithms and systems, Evolutionary algorithms, Holography

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Proceedings Article | 20 August 2020 Presentation

Presentation

Quantitative digital microscopy with deep learning

Benjamin Midtvedt, Saga Helgadottir, Aykut Argun, Daniel Midtvedt, Giovanni Volpe

Proceedings Volume 11469, 114691B (2020) https://doi.org/10.1117/12.2567479

KEYWORDS: Microscopy, Machine learning, Computer programming, Video, Image analysis, Digital imaging, Interfaces, Optical microscopy, Optical design, Human-machine interfaces

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Proceedings Article | 20 August 2020 Presentation

Presentation

Calibration of force fields using recurrent neural networks

Aykut Argun, Tobias Thalheim, Frank Cichos, Giovanni Volpe

Proceedings Volume 11469, 1146916 (2020) https://doi.org/10.1117/12.2567931

KEYWORDS: Calibration, Neural networks, Particles, Biophysics, Diffusion, Elementary particles, Stochastic processes

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Showing 5 of 9 publications

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