PhD Stories - David Frich Hansen: Towards Real-Time Raman Molecular Imaging of Living Organisms

PhD Student at DTU Compute David Frich Hansen's project: Towards Real-Time Raman Molecular Imaging of Living Organisms / Machine learning-based signal processing for Raman spectroscopy
Understanding complex biological or chemical systems requires the ability to observe them in real-time in a non-invasive and non-destructive manner.
Raman spectroscopy provides a method for such observations by utilizing the interaction of light and matter through Raman scattering. This spectroscopy method is powerful as it can provide molecular ‘fingerprints’ of both organic and inorganic substances, including live cells. Especially, this possibility highlights the potential for using Raman spectroscopy in a variety of applications, such as monitoring the biological process of fermentation, the study of chemical reactions, or visualizing drug delivery processes in real-time.
The successful outcome of this project will be a fully automated procedure for analyzing Raman maps with high spatio-temporal resolution in reasonable computing time by formulating the entire Raman spectroscopy analysis pipeline as a single statistical model optimized with modern machine learning methods.
Learn more at DTU Compute's homepage: www.compute.dt...