4 papers
Symmetry-aware super-resolution of crystal orientation maps via invariant latent-space learning
Umang Garg, Warren Zamudio, McLean P. Echlin +3
Crystal-orientation maps are physical fields defined only up to crystal symmetry; electron backscatter diffraction (EBSD) resolves them experimentally, but acquisition-time constra…
3D Neuron Morphology Analysis
Jiaxiang Jiang, Michael Goebel, Cezar Borba +2
We consider the problem of finding an accurate representation of neuron shapes, extracting sub-cellular features, and classifying neurons based on neuron shapes. In neuroscience re…
Deep Learning Enabled Time-Lapse 3D Cell Analysis
Jiaxiang Jiang, Amil Khan, S. Shailja +4
This paper presents a method for time-lapse 3D cell analysis. Specifically, we consider the problem of accurately localizing and quantitatively analyzing sub-cellular features, and…
A computational geometry approach for modeling neuronal fiber pathways
S. Shailja, Angela Zhang, B. S. Manjunath
We propose a novel and efficient algorithm to model high-level topological structures of neuronal fibers. Tractography constructs complex neuronal fibers in three dimensions that e…