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

16 citations · 30 across the 9 of their papers we have counts for

collaborators

9 papers

eess.IV2024★ 2 cited

Diffusion Models to Enhance the Resolution of Microscopy Images: A Tutorial

Harshith Bachimanchi, Giovanni Volpe

Diffusion models have emerged as a prominent technique in generative modeling with neural networks, making their mark in tasks like text-to-image translation and super-resolution.…

physics.optics2024★ 1 cited

Optical Label-Free Microscopy Characterization of Dielectric Nanoparticles

Berenice Garcia Rodriguez, Erik Olsén, Fredrik Skärberg +3

In order to relate nanoparticle properties to function, fast and detailed particle characterization, is needed. The ability to characterize nanoparticle samples using optical micro…

cond-mat.soft2024

Critical Casimir levitation of colloids above a bull's-eye pattern

Piotr Nowakowski, Nima Farahmand Bafi, Giovanni Volpe +2

Critical Casimir forces emerge among particles or surfaces immersed in a near-critical fluid, with the sign of the force determined by surface properties and with its strength tuna…

physics.comp-ph2023★ 16 cited

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

Viktor Martvall, Henrik Klein Moberg, Athanasios Theodoridis +6

The ability to rapidly detect hydrogen gas upon occurrence of a leak is critical for the safe large-scale implementation of hydrogen (energy) technologies. However, to date, no tec…

physics.bio-ph2023

Deep-learning-powered data analysis in plankton ecology

Harshith Bachimanchi, Matthew I. M. Pinder, Chloé Robert +6

The implementation of deep learning algorithms has brought new perspectives to plankton ecology. Emerging as an alternative approach to established methods, deep learning offers ob…

physics.optics2023

Dual-angle interferometric scattering microscopy for optical multiparametric particle characterization

Erik Olsén, Berenice Garcia, Fredrik Skärberg +4

Traditional single-nanoparticle sizing using optical microscopy techniques assesses size via the diffusion constant, which requires suspended particles in a medium of known viscosi…

physics.bio-ph2023★ 2 cited

Label-free optical quantification of material composition of suspended virus-gold nanoparticle complexes

Erik Olsén, Benjamin Midtvedt, Adrián González +7

The interaction between metallic and biological nanoparticles (NPs) is widely used in various biotechnology and biomedical applications. However, detailed characterization of this…

physics.optics2023★ 9 cited

Roadmap on Deep Learning for Microscopy

Giovanni Volpe, Carolina Wählby, Lei Tian +72

Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasin…

cond-mat.soft2023

Crystallization and topology-induced dynamical heterogeneities in soft granular clusters

Michal Bogdan, Jesus Pineda, Mihir Durve +4

Soft-granular media, such as dense emulsions, foams or tissues, exhibit either fluid- or solid-like properties depending on the applied external stresses. Whereas bulk rheology of…