论文标题
具有非派系多散射模型的高保真强度衍射断层扫描
High-fidelity intensity diffraction tomography with a non-paraxial multiple-scattering model
论文作者
论文摘要
我们提出了一种基于分裂步骤的非顺式（SSNP）模型的新型强度衍射断层扫描（IDT）重建算法，用于恢复多散射生物学样品的3D折射率（RI）分布。高质量的IDT重建需要高角度照明来编码3D生物样品的低空间频率信息。我们表明，与基于近似近似的多散射模型相比，我们的SSNP模型可以更准确地计算出高角度照明的多个散射。我们将此SSNP模型应用于顺序和多路复用IDT技术。我们为这两种IDT模式开发了一种统一的重建算法，该算法在高度计算上有效，并通过模块化自动分化框架实现。我们证明了我们的重建算法在弱散射的颊上皮细胞和强烈散射的$ \ textit {c中的能力。秀丽隐杆线} $蠕虫和活$ \ textit {c。秀丽隐杆线} $胚胎。
We propose a novel intensity diffraction tomography (IDT) reconstruction algorithm based on the split-step non-paraxial (SSNP) model for recovering the 3D refractive index (RI) distribution of multiple-scattering biological samples. High-quality IDT reconstruction requires high-angle illumination to encode both low- and high- spatial frequency information of the 3D biological sample. We show that our SSNP model can more accurately compute multiple scattering from high-angle illumination compared to paraxial approximation-based multiple-scattering models. We apply this SSNP model to both sequential and multiplexed IDT techniques. We develop a unified reconstruction algorithm for both IDT modalities that is highly computationally efficient and is implemented by a modular automatic differentiation framework. We demonstrate the capability of our reconstruction algorithm on both weakly scattering buccal epithelial cells and strongly scattering live $\textit{C. elegans}$ worms and live $\textit{C. elegans}$ embryos.
