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Daniel Midtvedt
Universitetslektor, biträdande
Institutionen för fysik-
Neural network enabled nanoplasmonic hydrogen sensors with 100 ppm limit of detection in humid
air
David Tomecek, Henrik Klein Moberg, Sara Nilsson, Athanasios Theodoridis, Iwan Darmadi, Daniel Midtvedt, Giovanni Volpe, Olof Andersson, Christoph Langhammer
NATURE COMMUNICATIONS - 2024 -
Deep-learning-powered data analysis in plankton
ecology
Harshith Bachimanchi, Matthew I. M. Pinder, Chloé Robert, Pierre De Wit, Jonathan N. Havenhand, Alexandra Kinnby, Daniel Midtvedt, Erik Selander, Giovanni Volpe
Limnology And Oceanography Letters - 2024 -
Dual-Angle Interferometric Scattering Microscopy for Optical Multiparametric Particle
Characterization
Erik Olsen, Berenice García, Fredrik Skärberg, Petteri Parkkila, Giovanni Volpe, Fredrik Hook, Daniel Midtvedt
NANO LETTERS - 2024 -
Geometric deep learning reveals the spatiotemporal features of microscopic
motion
Jesus Pineda, Benjamin Midtvedt, Harshith Bachimanchi, S. Noe, Daniel Midtvedt, Giovanni Volpe, C. Manzo
Nature Machine Intelligence - 2023 -
Single-shot self-supervised object detection in
microscopy
Benjamin Midtvedt, Jesus Pineda, Fredrik Skärberg, Erik Olsén, Harshith Bachimanchi, Emelie Wesén, Elin K. Esbjörner, Erik Selander, Fredrik Höök, Daniel Midtvedt, Giovanni Volpe
Nature Communications - 2022 -
Microplankton life histories revealed by holographic microscopy and deep
learning
Harshith Bachimanchi, Benjamin Midtvedt, Daniel Midtvedt, Erik Selander, Giovanni Volpe
eLife - 2022 -
Deep learning in light-matter
interactions
Daniel Midtvedt, V. Mylnikov, A. Stilgoe, M. Kall, H. Rubinsztein-Dunlop, Giovanni Volpe
Nanophotonics - 2022 -
Label-free nanofluidic scattering microscopy of size and mass of single diffusing molecules and
nanoparticles
B. Spackova, H. K. Moberg, J. Fritzsche, J. Tenghamn, Gustaf Sjösten, H. Sipova-Jungova, D. Albinsson, Q. Lubart, D. van Leeuwen, F. Westerlund, Daniel Midtvedt, E. K. Esbjorner, M. Kall, Giovanni Volpe, C. Langhammer
Nature Methods - 2022 -
Extracting quantitative biological information from bright-field cell images using deep
learning
Saga Helgadottir, Benjamin Midtvedt, Jesus Pineda, Alan Sabirsh, Caroline B. Adiels, Stefano Romeo, Daniel Midtvedt, Giovanni Volpe
Biophysics Reviews - 2021 -
Fast and Accurate Nanoparticle Characterization Using Deep-Learning-Enhanced Off-Axis
Holography
Benjamin Midtvedt, Erik Olsén, Fredrik Eklund, Fredrik Höök, Caroline B. Adiels, Giovanni Volpe, Daniel Midtvedt
ACS Nano - 2021 -
Quantitative digital microscopy with deep
learning
Benjamin Midtvedt, Saga Helgadottir, Aykut Argun, Jesus Pineda, Daniel Midtvedt, Giovanni Volpe
Applied Physics Reviews - 2021 -
Diffusion of Lipid Nanovesicles Bound to a Lipid Membrane Is Associated with the Partial-Slip Boundary
Condition
E. Olsen, S. Joemetsa, A. Gonzalez, P. Joyce, V. P. Zhdanov, Daniel Midtvedt, F. Hook
Nano Letters - 2021 -
Nanoparticle characterization with off-axis
holography
Daniel Midtvedt, B Midvedt, E Olsén, F Eklund, Caroline B. Adiels, Fredrik Höök, Giovanni Volpe
Proceedings of SPIE, the International Society for Optical Engineering - 2020 -
Size and Refractive Index Determination of Subwavelength Particles and Air Bubbles by Holographic Nanoparticle Tracking
Analysis
Daniel Midtvedt, F. Eklund, E. Olsen, B. Midtvedt, J. Swenson, F. Hook
Analytical Chemistry - 2020