Fourier-Based 3D Multistage Transformer for Aberration Correction in Multicellular Specimens.

ABSTRACT: High-resolution tissue imaging is often compromised by sample-induced optical aberrations that degrade resolution and contrast. While wavefront sensor-based adaptive optics (AO) can measure these aberrations, such hardware solutions are typically complex, expensive to implement, and slow when serially mapping spatially varying aberrations across large fields of view. Here, we introduce AOViFT (Adaptive Optical Vision Fourier Transformer)-a machine learning-based aberration sensing framework built around a 3D multistage Vision Transformer that operates on Fourier domain embeddings. AOViFT infers aberrations and restores diffraction-limited performance in puncta-labeled specimens with substantially reduced computational cost, training time, and memory footprint compared to conventional archi

SUBMITTER: Alshaabi T 

PROVIDER: S-EPMC12136486 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature