Multi-layer Born multiple-scattering model for 3D phase microscopy
Abstract
We propose an accurate and computationally efficient 3D scattering model, multi-layer Born (MLB), and use it to recover the 3D refractive index (RI) of thick biological samples. For inverse problems recovering the complex field of thick samples, weak scattering models (e.g., first Born) may fail or underestimate the RI, especially with a large index contrast. Multi-slice (MS) beam propagation methods model multiple scattering to provide more realistic reconstructions; however, MS does not properly account for highly oblique scattering, nor does it model backward scattering. Our proposed MLB model uses a first Born model at each of many slices, accurately capturing the oblique scattering effects and estimating the backward scattering process. When used in conjunction with an inverse solver, the model provides more accurate RI reconstructions for high-resolution phase tomography. Importantly, MLB retains a reasonable computation time that is critical for practical implementation with iterative inverse algorithms.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Apr 28, 2020
- Source ID
- 10.1364/optica.383030
Entities
People
- David Ren
- Hsiou-yuan Liu
- Laura Waller
- Michael Chen
- Shwetadwip Chowdhury
Organizations
- Chan Zuckerberg Initiative
- David and Lucile Packard Foundation
- Gordon and Betty Moore Foundation
- National Science Foundation
- Office of Naval Research