Position: Assistant Professor
PhD Degree: Chalmers University of Technology, Gothenburg, Sweden
Master Degree: Chalmers University of Technology, Gothenburg, Sweden
Latest News (all news about Daniel Midtvedt)
Quantitative Digital Microscopy with Deep Learning published in Applied Physics Reviews February 19, 2021
Fast and Accurate Nanoparticle Characterization Using Deep-Learning-Enhanced Off-Axis Holography published in ACS Nano January 5, 2021
Extracting quantitative biological information from brightfield cell images using deep learning on ArXiv December 23, 2020
Soft Matter Lab presentations at the SPIE Optics+Photonics Digital Forum August 23, 2020
Holographic characterisation of subwavelength particles enhanced by deep learning June 22, 2020- Soft Matter Lab presentations at the Photonics Online Meet-up, 22 June 2020 June 18, 2020
Daniel Midtvedt joins the Soft Matter Lab April 13, 2019