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Daniel Midtvedt
Daniel Midtvedt
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Cited by
Cited by
Year
A pH-driven transition of the cytoplasm from a fluid-to a solid-like state promotes entry into dormancy
MC Munder, D Midtvedt, T Franzmann, E Nuske, O Otto, M Herbig, ...
elife 5, e09347, 2016
4302016
Determination of the bending rigidity of graphene via electrostatic actuation of buckled membranes
N Lindahl, D Midtvedt, J Svensson, OA Nerushev, N Lindvall, A Isacsson, ...
Nano letters 12 (7), 3526-3531, 2012
2472012
Nonlinear damping in graphene resonators
A Croy, D Midtvedt, A Isacsson, JM Kinaret
Physical Review B 86 (23), 235435, 2012
1112012
Quantitative digital microscopy with deep learning
B Midtvedt, S Helgadottir, A Argun, J Pineda, D Midtvedt, G Volpe
Applied Physics Reviews 8 (1), 2021
1002021
Frequency tuning, nonlinearities and mode coupling in circular mechanical graphene resonators
AM Eriksson, D Midtvedt, A Croy, A Isacsson
Nanotechnology 24 (39), 395702, 2013
782013
Fermi-pasta-ulam physics with nanomechanical graphene resonators: intrinsic relaxation and thermalization from flexural mode coupling
D Midtvedt, A Croy, A Isacsson, Z Qi, HS Park
Physical review letters 112 (14), 145503, 2014
522014
Size and refractive index determination of subwavelength particles and air bubbles by holographic nanoparticle tracking analysis
D Midtvedt, F Eklund, E Olsén, B Midtvedt, J Swenson, F Höök
Analytical chemistry 92 (2), 1908-1915, 2019
452019
Fast and Accurate Nanoparticle Characterization Using Deep-Learning-Enhanced Off-Axis Holography
B Midtvedt, E Olsén, F Eklund, F Höök, CB Adiels, G Volpe, D Midtvedt
ACS nano, 0
45
Strain–displacement relations for strain engineering in single-layer 2d materials
D Midtvedt, CH Lewenkopf, A Croy
2D Materials 3 (1), 011005, 2016
442016
Label-free nanofluidic scattering microscopy of size and mass of single diffusing molecules and nanoparticles
B Špačková, H Klein Moberg, J Fritzsche, J Tenghamn, G Sjösten, ...
Nature Methods 19 (6), 751-758, 2022
392022
Geometric deep learning reveals the spatiotemporal features of microscopic motion
J Pineda, B Midtvedt, H Bachimanchi, S Noé, D Midtvedt, G Volpe, ...
Nature Machine Intelligence 5 (1), 71-82, 2023
342023
Extracting quantitative biological information from bright-field cell images using deep learning
S Helgadottir, B Midtvedt, J Pineda, A Sabirsh, C B Adiels, S Romeo, ...
Biophysics Reviews 2 (3), 2021
302021
Label-free spatio-temporal monitoring of cytosolic mass, osmolarity, and volume in living cells
D Midtvedt, E Olsén, F Höök, GDM Jeffries
Nature Communications 10 (1), 340, 2019
302019
Intracellular mass density increase is accompanying but not sufficient for stiffening and growth arrest of yeast cells
S Abuhattum, K Kim, TM Franzmann, A Eßlinger, D Midtvedt, R Schlüßler, ...
Frontiers in Physics 6, 131, 2018
302018
Nonlinear phononics using atomically thin membranes
D Midtvedt, A Isacsson, A Croy
Nature Communications 5 (1), 4838, 2014
302014
Carbon nanotube field effect transistors with suspended graphene gates
J Svensson, N Lindahl, H Yun, M Seo, D Midtvedt, Y Tarakanov, ...
Nano Letters 11 (9), 3569-3575, 2011
292011
Single-shot self-supervised object detection in microscopy
B Midtvedt, J Pineda, F Skärberg, E Olsén, H Bachimanchi, E Wesén, ...
Nature communications 13 (1), 7492, 2022
272022
The Matrix protein M1 from influenza C virus induces tubular membrane invaginations in an in vitro cell membrane model
D Saletti, J Radzimanowski, G Effantin, D Midtvedt, S Mangenot, ...
Scientific reports 7 (1), 40801, 2017
232017
Simulation of Complex Systems
A Argun, A Callegari, G Volpe
IOP Publishing, 2021
212021
Multi-scale approach for strain-engineering of phosphorene
D Midtvedt, CH Lewenkopf, A Croy
Journal of Physics: Condensed Matter 29 (18), 185702, 2017
202017
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