Alex Seltmann

I am a medical student by training. My main research interests revolve around machine learning, especially deep learning, for the life sciences. Currently, I try to improve reproducibility of fluorescence correlation spectroscopy (FCS) analysis using deep learning.

Github: https://github.com/aseltmann

Publication List

• A. Seltmann, P. Carravilla, K. Reglinski, C. Eggeling*, D. Waithe*. Neural network informed photon filtering reduces fluorescence correlation spectroscopy artifacts. Biophys J (2024).​

Oral presentation

• Seltmann A, Eggeling C, Waithe D. Automated, User-independent Correction of Artifacts in Fluorescence Correlation Spectroscopy Measurements using Convolutional Neural Networks. Quantitative BioImaging Conference (QBI); 2020 Jan 6-9; Oxford, UK

CV

• since 2019 MD student, Eggeling lab, Institute of Applied Optics and Biophysics, Friedrich-Schiller University, Jena
• since 2017 Master student, MSc Medical Photonics, Friedrich-Schiller University, Jena
• since 2013 Medical student, Faculty of Medicine, Friedrich-Schiller University, Jena