3D Segmentation and Reconstruction of Glomerular Basement Membrane

In collaboration with KTH Royal Institute of Technology, we aim to leverage deep learning and high-resolution microscopy to invent a novel technique for nano-scale 3D segmentation and reconstruction of Glomerular Basement Membrane(GBM), a ribbon-like extracellular matrix that lies between the endothelium and the podocyte foot processes. Additionally, we focus on developing GPU-based algorithms to extract useful morphometric features from the 3D reconstruction to acquire a better understanding of GBM’s role as a filtration barrier and its alteration in pathological scenarios.