Uncertainty-Aware Fourier Ptychography

also called Differentiable FPM

Light: Science & Applications 14, 236 (2025)

Abstract

Fourier ptychography (FP) delivers wide field-of-view, high-resolution imaging, but its reliance on precise numerical forward models makes it vulnerable to physical uncertainties such as misalignment, optical aberrations, and data quality limitations. Conventional methods correct these issues separately – calibration for misalignment, pupil/probe recovery for aberrations, exposure or HDR techniques for data quality – and cannot address them jointly. We introduce Uncertainty-Aware FP (UA-FP), a fully differentiable framework that treats deterministic uncertainties (misalignment and optical aberrations) as optimizable parameters, while using differentiable optimization with domain-specific priors to handle stochastic uncertainties (noise and data quality limitations). UA-FP achieves superior reconstruction quality under challenging conditions, remaining robust with reduced sub-spectrum overlap and even low-bit sensor data, and extends FP’s use as a measurement tool for settings where precise alignment and calibration are impractical.

[!NOTE] The code and data are not publicly available at this time. If you have data you would like reconstructed, please contact nichen.optics@gmail.com.

Bibtex

@article{Chen2025LSA,
  author     = {Ni Chen and Yang Wu and Chao Tan and Liangcai Cao and Jun Wang and Edmund Y. Lam},
  doi        = {10.1038/s41377-025-01915-w},
  ifactor    = LSA,
  journal    = {Light: Science \& Applications},
  month      = {7},
  number     = {1},
  pages      = {236},
  title      = ,
  volume     = {14},
  year       = {2025},
}

References