Parvin Forghani

HYPER-Net enables physics-conditioned self-supervised reconstruction for Fourier light-field microscopy, improving volumetric imaging across diverse biological contexts.

PAVR enables high-resolution volumetric imaging of cells using a physics-aware framework trained on simulated data, demonstrating applications in tracking subcellular structures and analyzing cardiac cell dynamics.