Three-dimensional (3D) refractive index (RI) tomography offers label-free, quantitative volumetric imaging but faces limitations due to optical aberrations, limited resolution, and computational complexity inherent to existing approaches. To overcome these barriers, we propose Analytic Fourier Ptychotomography (AFP), a new computational microscopy technique that analytically reconstructs aberration-free, complex-valued 3D RI distributions without iterative optimization or axial scanning. AFP incorporates a new concept named finite sample thickness (FST) prior, thereby simplifying the inverse scattering problem into solving linear equations. AFP consists of three sequential steps: complex-field reconstruction via the Kramers-Kronig relation, linear aberration correction using overlapping spectra, and analytic spectrum extension into the darkfield region. Unlike iterative reconstruction methods, AFP does not require parameter tuning and computationally intensive optimizations – which are slow to converge, error-prone, parameter-sensitive and non-generalizable across samples and systems.
We experimentally demonstrated that AFP significantly enhances image quality and resolution under various aberration conditions across a range of applications. AFP corrected aberrations associated with maximal phase difference of 2.3π, extended the synthetic numerical aperture from 0.41 to 0.99, and provided a two-fold resolution enhancement in all directions. AFP’s simplicity and robustness makes it an attractive imaging technology for quantitative 3D analysis in biological, microbial ecological, and medical studies.
@misc{dong2025analyticfourierptychotomographyvolumetric,
title={Analytic Fourier ptychotomography for volumetric refractive index imaging},
author={Zhenyu Dong and Haowen Zhou and Ruizhi Cao and Oumeng Zhang and Shi Zhao and Panlang Lyu and Reinaldo Alcalde and Changhuei Yang},
year={2025},
eprint={2504.16247},
archivePrefix={arXiv},
primaryClass={physics.optics},
url={https://arxiv.org/abs/2504.16247},
}