- Caroline Adiels
Associate Professor & Group Leader - Charlotte Hamngren Blomqvist
Principal Research Engineer - Elisa Ortiz Rivero
Post Doc - Jesús Manuel Antúnez Domínguez
Post Doc - Anqi Lyu
PhD Student - Chinmay Khanolkar
PhD Student - Norma Caridad Palmero Cruz
PhD Student (co-supervised)
Articles from Adiels’s Lab
Latent space-driven quantification of biofilm formation using time-resolved droplet microfluidics published in Microchemical Journal April 6, 2026
Roadmap on Deep Learning for Microscopy published in Journal of Physics: Photonics January 29, 2026
Myxococcus xanthus for active matter studies: a tutorial for its growth and potential applications published in Soft Matter October 30, 2025
Roadmap for animate matter published on Journal of Physics: Condensed Matter August 13, 2025
An in vivo mimetic liver-lobule-chip (LLoC) for stem cell maturation, and zonation of hepatocyte-like cells on chip published in Lab on a Chip May 28, 2025
Cross-modality transformations in biological microscopy enabled by deep learning published in Advanced Photonics November 27, 2024
Roadmap for Optical Tweezers published in Journal of Physics: Photonics April 11, 2023
Dynamic live/apoptotic cell assay using phase-contrast imaging and deep learning on bioRxiv July 19, 2022
Extracting quantitative biological information from bright-field cell images using deep learning published in Biophysics Reviews July 20, 2021
Intercellular Communication Induces Glycolytic Synchronisation Waves published in PNAS February 9, 2021
Fast and Accurate Nanoparticle Characterization Using Deep-Learning-Enhanced Off-Axis Holography published in ACS Nano January 5, 2021
Alumni
Daniela Pérez Guerrero ~ PhD Student 2026
Linnea Landstedt ~ Masters Student 2025
Jesús Manuel Antúnez Domínguez ~ PhD Student 2024