Henrik Klein Moberg

Doctor at Chemical Physics

Contact Details ORCID

Publications (9)
Projects (0)

Showing 9 publications

2026

Roadmap on deep learning for microscopy

Giovanni Volpe, Carolina Wahlby, Lei Tian et al

JOURNAL OF PHYSICS-PHOTONICS. Vol. 8 (1)

Review article

2025

Accelerating Plasmonic Hydrogen Sensors for Inert Gas Environments by Transformer-Based Deep Learning

Viktor Martvall, Henrik Klein Moberg, Athanasios Theodoridis et al

ACS Sensors. Vol. 10 (1), p. 376-386

Journal article

Show project

2025

Deep-learning-enabled online mass spectrometry of the reaction product of a single catalyst nanoparticle

Henrik Klein Moberg, Giuseppe Abbondanza, Ievgen Nedrygailov et al

Nature Communications. Vol. 16 (1)

Journal article

Show project

2024

Neural network enabled nanoplasmonic hydrogen sensors with 100 ppm limit of detection in humid air

David Tomecek, Henrik Klein Moberg, Sara Nilsson et al

Nature Communications. Vol. 15 (1)

Journal article

2024

Cross-modality transformations in biological microscopy enabled by deep learning

Dana Hassan, Jesus Dominguez, Benjamin Midtvedt et al

Advanced Photonics. Vol. 6 (6)

Review article

2024

Pushing the boundaries of single molecule microscopy, optical sensing and mass spectrometry through deep learning

Henrik Klein Moberg

Doctoral thesis

Show project

2023

Pushing the Boundaries of Biomolecule Characterization through Deep Learning

Henrik Klein Moberg

Licentiate thesis

2022

Label-free nanofluidic scattering microscopy of size and mass of single diffusing molecules and nanoparticles

Barbora Spackova, Henrik Klein Moberg, Joachim Fritzsche et al

Nature Methods. Vol. 19 (6), p. 751-758

Journal article

2020

Projected sensitivity to sub-GeV dark matter of next-generation semiconductor detectors

Erik Andersson, Alex Bökmark, Riccardo Catena et al

Journal of Cosmology and Astroparticle Physics. Vol. 2020 (5)

Journal article

Download publication list

You can download this list to your computer.

Filter and download publication list

As logged in user (Chalmers employee) you find more export functions in MyResearch.

You may also import these directly to Zotero or Mendeley by using a browser plugin. These are found herer:

Zotero Connector
Mendeley Web Importer

The service SwePub offers export of contents from Research in other formats, such as Harvard and Oxford in .RIS, BibTex and RefWorks format.

There are no projects.

There might be more projects where Henrik Klein Moberg participates, but you have to be logged in as a Chalmers employee to see them.