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Title: High-fidelity intensity diffraction tomography with a non-paraxial multiple-scattering model
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 liveC. elegansworms and liveC. elegansembryos.  more » « less
Award ID(s):
1846784
PAR ID:
10370015
Author(s) / Creator(s):
; ;
Publisher / Repository:
Optical Society of America
Date Published:
Journal Name:
Optics Express
Volume:
30
Issue:
18
ISSN:
1094-4087; OPEXFF
Format(s):
Medium: X Size: Article No. 32808
Size(s):
Article No. 32808
Sponsoring Org:
National Science Foundation
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