Dr. Daniel Midtvedt Profile

Dr. Daniel Midtvedt

at Göteborgs Univ

SPIE Involvement:

Author

Publications (16)

Proceedings Article | 5 October 2023 Presentation

Presentation

Deep learning for nanofluidic scattering microscopy

Henrik Klein Moberg, Bohdan Yeroshenko, Daniel Midtvedt, Joachim Fritzsche, Barbora Špacková, David Albinsson, Giovanni Volpe, Christoph Langhammer

Proceedings Volume PC12655, PC126550J (2023) https://doi.org/10.1117/12.2676769

KEYWORDS: Biomolecules, Optical microscopy, Scattering, Deep learning, Light scattering, Computer simulations, Biological research, Scattered light, Proteins, Microscopy

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Proceedings Article | 28 September 2023 Presentation

Presentation

Single-shot self-supervised object detection in microscopy

Benjamin Midtvedt, Jesús Pineda, Fredrik Skärberg, Erik Olsén, Harshith Bachimanchi, Emelie Wesén, Elin Esbjörner, Erik Selander, Daniel Midtvedt, Giovanni Volpe

Proceedings Volume PC12655, PC126550P (2023) https://doi.org/10.1117/12.2678329

KEYWORDS: Object detection, Microscopy, Education and training, Polarizability, Medicine, Holography, Engineering, Computer simulations, Biology, Biological research

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Proceedings Article | 28 September 2023 Presentation

Presentation

Decoding microplankton life through holographic microscopy and deep learning

Harshith Bachimanchi, Benjamin Midtvedt, Daniel Midtvedt, Erik Selander, Giovanni Volpe

Proceedings Volume PC12655, PC126550L (2023) https://doi.org/10.1117/12.2677603

KEYWORDS: Deep learning, Microscopy, Holography, Carbon, Oceanography, Environmental monitoring, Biomass

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Proceedings Article | 4 October 2022 Presentation

Presentation

Revealing the spatiotemporal fingerprint of microscopic motion using geometric deep learning (Conference Presentation)

Jesús Pineda Castro, Benjamin Midtvedt, Harshith Bachimanchi, Sergio Nóe, Daniel Midtvedt, Giovanni Volpe, Carlo Manzo

Proceedings Volume PC12204, PC122040G (2022) https://doi.org/10.1117/12.2633593

KEYWORDS: Biological research, Reliability, Neural networks, Molecules, Microscopy, Image acquisition

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Proceedings Article | 4 October 2022 Presentation

Presentation

Single-shot self-supervised particle tracking (Conference Presentation)

Benjamin Midtvedt, Jesús Pineda, Fredrik Skärberg, Erik Olsén, Harshith Bachimanchi, Emelie Wesén, Elin Esbjörner, Erik Selander, Fredrik Höök, Daniel Midtvedt, Giovanni Volpe

Proceedings Volume PC12204, PC122040K (2022) https://doi.org/10.1117/12.2633355

KEYWORDS: Particles, Microscopy, Medicine, Computer simulations, Biology, Biological research

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Proceedings Article | 4 October 2022 Presentation

Presentation

Label-free characterization of biological matter across scales (Conference Presentation)

Daniel Midtvedt, Erik Olsén, Benjamin Midtvedt, Elin Esbjörner, Fredrik Skärberg, Berenice Garcia, Caroline Adiels, Fredrik Höök, Giovanni Volpe

Proceedings Volume PC12204, PC122040P (2022) https://doi.org/10.1117/12.2633978

KEYWORDS: Light scattering, Interferometry, Scattering, Rayleigh scattering, Holography, Viruses, Scientific research, Particles, Optical testing, Microscopy

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Proceedings Article | 4 October 2022 Presentation

Presentation

Quantitative microplankton tracking by holographic microscopy and deep learning (Conference Presentation)

Harshith Bachimanchi, Benjamin Midtvedt, Daniel Midtvedt, Erik Selander, Giovanni Volpe

Proceedings Volume PC12204, PC122040T (2022) https://doi.org/10.1117/12.2633790

KEYWORDS: Holography, Microscopy, Carbon, Time metrology, Oceanography, Data processing, 3D metrology

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Proceedings Article | 4 October 2022 Presentation

Presentation

Seeing the invisible: deep learning optical microscopy for label-free biomolecule screening in the sub-10 kDa regime (Conference Presentation)

Henrik Klein Moberg, Christoph Langhammer, Daniel Midtvedt, Barbora Spackova, Bohdan Yeroshenko, David Albinsson, Joachim Fritzsche, Giovanni Volpe

Proceedings Volume PC12204, PC122040C (2022) https://doi.org/10.1117/12.2632311

KEYWORDS: Optical microscopy, Microscopy, Light scattering, Scattering, Computer simulations, Proteins, Luminescence, Life sciences, Interferometry, Detection and tracking algorithms

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Proceedings Article | 1 August 2021 Presentation

Presentation

ZEUS: Zernike based nEUral network for light Sheet microscopy

Laura Pérez-García, Benjamin Midtvedt, Daniel Midtvedt, Gustavo Castro-Olvera, Jordi Andilla, Pablo Loza-Alvarez, Giovanni Volpe

Proceedings Volume 11804, 118040Y (2021) https://doi.org/10.1117/12.2594022

KEYWORDS: Microscopy, Neural networks, Optical components, Photonics, Optical scanning systems, Microscopes, Luminescence, Image restoration, Image quality, High speed imaging

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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

Quantitative biological analysis of brightfield cell images using deep learning

Jesús Pineda, Saga Helgadottir, Benjamin Midtvedt, Alan Abirsh, Caroline Adiels, Stefano Romeo, Daniel Midtvedt, Giovanni Volpe

Proceedings Volume 11804, 118041H (2021) https://doi.org/10.1117/12.2596044

KEYWORDS: Biological research, Luminescence, Chemical analysis, Microscopy, Quantitative analysis, Neural networks, Nanomedicine, Medical diagnostics, Image analysis

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Proceedings Article | 1 August 2021 Presentation

Presentation

Characterizing the feeding patterns of microzooplanktons using digital holographic microscopy and deep learning

Harshith Bachimanchi, Benjamin Midtvedt, Daniel Midtvedt, Erik Selander, Giovanni Volpe

Proceedings Volume 11804, 118041U (2021) https://doi.org/10.1117/12.2593892

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Proceedings Article | 1 August 2021 Presentation

Presentation

Deep learning enhanced digital holography for characterization of nanoparticles and soft matter

Daniel Midtvedt

Proceedings Volume 11804, 1180410 (2021) https://doi.org/10.1117/12.2593718

KEYWORDS: Nanoparticles, Particles, Digital holography, Refractive index, Holography, Silica, Medical diagnostics, Image analysis, Holograms, Diffusion

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Proceedings Article | 20 August 2020 Presentation

Presentation

Nanoparticle characterization with off-axis holography

Daniel Midtvedt, Benjamin Midtvedt, Erik Olsén, Fredrik Eklund, Caroline Adiels, Fredrik Höök, Giovanni Volpe

Proceedings Volume 11469, 114690F (2020) https://doi.org/10.1117/12.2568464

KEYWORDS: Particles, Holography, Visible radiation, Nanoparticles, Motion analysis, Refractive index, Microscopes, Convolutional neural networks, Silica, Optical properties

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Proceedings Article | 20 August 2020 Poster + Presentation

Poster + Presentation

Digital holographic microscopy driven by deep learning: a study on marine planktons

Harshith Bachimanchi, Benjamin Midtvedt, Daniel Midtvedt, Erik Selander, Giovanni Volpe

Proceedings Volume 11469, 114691O (2020) https://doi.org/10.1117/12.2568508

KEYWORDS: Digital holography, Holography, Ocean optics, Microscopy, Particles, Image retrieval, Holograms, Raster graphics, Biomedical optics, Biological research

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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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Showing 5 of 16 publications

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