MTCurv: Deep learning for direct microtubule curvature mapping in noisy fluorescence microscopy images

ArXi:2604.26517v1 Announce Type: new Accurate quantification of the geometry of curvilinear biological structures is essential for understanding cellular mechanics and disease-related morphological alterations. Microtubule curvature is a key descriptor of filament rigidity and mechanical perturbations. However, reliable curvature extraction from fluorescence microscopy images remains challenging due to noise, low contrast, and partial filament visibility.