222 citations · 834 across the 21 of their papers we have counts for
5 papers · 1 filter
Deep learning-enhanced Lagrangian 3D Tracking of motile microorganisms
Thierry Darnige, Daniel Midtvedt, Renaud Baillou +5
How microorganisms respond to and interact with their environment can vary significantly from individual to individual, which can have important microbiological and ecological impl…
Latent Space-Driven Quantification of Biofilm Formation using Time Resolved Droplet Microfluidics
Daniela Pérez Guerrero, Jesús Manuel Antúnez Domínguez, Aurélie Vigne +5
Bacterial biofilms play a significant role in various fields that impact our daily lives, from detrimental public health hazards to beneficial applications in bioremediation, biode…
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…
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…
Microplankton life histories revealed by holographic microscopy and deep learning
Harshith Bachimanchi, Benjamin Midtvedt, Daniel Midtvedt +2
The marine microbial food web plays a central role in the global carbon cycle. Our mechanistic understanding of the ocean, however, is biased towards its larger constituents, while…