Annette Juma Nielsen

The paper uses machine learning and diffusion analysis to compare intracellular trafficking of insulin analogs and endogenous insulin, revealing differences in diffusion and lysosomal colocalization.

This study tracks single nanoMOFs in live cells to understand their intracellular dynamics and internalization pathways using fluorescence and machine learning.

This paper introduces DeepSPT, a deep learning framework that automates the analysis of sub-cellular diffusion to infer functional information, achieving high accuracy in identifying endosomal structures during viral infections.