Position: Associate Professor / Senior lecturer
PhD degree: Cardiovascular Prevention, Department of Medicine, Sahlgrenska Academy, University of Gothenburg (2008)
Master degree: Biology, University of Gothenburg
My research interests broadly encompass optics/photonics, microfluidics, and active (biological) matter. Ongoing research projects focuse on single-cell analysis and communication, which expands into the development and use of organ-on-a-chip technology. I incorporate image analysis with AI-based software customized for life science research, fostering an interdisciplinary research portfolio bridging physics and biology.
Latest News (all news about Caroline Adiels)
Cross-modality transformations in biological microscopy enabled by deep learning published in Advanced Photonics November 27, 2024
Tutorial for the growth and development of Myxococcus xanthus as a Model System at the Intersection of Biology and Physics on ArXiv July 26, 2024
Presentation by C. B. Adiels at AI for Scientific Data Analysis, Gothenburg, 31 May 2023 May 31, 2023
“Coffee Rings” presented at Gothenburg Science Festival 2023 April 19, 2023
Roadmap for Optical Tweezers published in Journal of Physics: Photonics April 11, 2023
Roadmap on Deep Learning for Microscopy on ArXiv March 7, 2023- Dynamic live/apoptotic cell assay using phase-contrast imaging and deep learning on bioRxiv July 19, 2022
Press release on Extracting quantitative biological information from bright-field cell images using deep learning October 13, 2021- Extracting quantitative biological information from brightfield cell images using deep learning featured in AIP SciLight July 23, 2021
- Extracting quantitative biological information from bright-field cell images using deep learning published in Biophysics Reviews July 20, 2021