Niemann-Pick Disease Type C
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Graphene-Based Imaging and Optogenetics
We are developing bi-layer graphene microelectrode arrays for simultaneous neuronal activity monitoring and imaging, enhancing our ability to study NPC.
Graphene Microelectrode Arrays, 4D Structured Illumination Microscopy, and a Machine Learning Spike Sorting Algorithm Permit the Analysis of Ultrastructural Neuronal Changes During Neuronal Signaling in a Model of Niemann–Pick Disease Type C.
Lu, M., Hui, E., Brockhoff, M., Träuble, J., Fernandez‐Villegas, A., Burton, O.J., Lamb, J., Ward, E., Woodhams, P.J., Tadbier, W., Läubli, N.F., et al. Advanced Science, 11(44), p.2402967 (2024).
Brain Cholesterol Study
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We investigate the impact of cholesterol metabolites (24S-HC, 27-HC) on mitochondrial dysfunction and calcium homeostasis, key factors in NPC pathology.
Collaborations
By collaborating with leading experts, including Prof. George Malliaras (University of Cambridge, UK), Prof. Stephan Hofmann (University of Cambridge, UK), and Prof. Clemens Kaminski (University of Cambridge, UK), we successfully integrate neuroscience, bioengineering, imaging, and computational modelling to advance NPC research.