Non-linear 3D tomographic object reconstruction of partially coherent broadband transmission illumination microscopy systems

Patrick B. Ledwig; Francisco E. Robles

doi:10.1117/12.2579332

5 March 2021 Non-linear 3D tomographic object reconstruction of partially coherent broadband transmission illumination microscopy systems

Patrick B. Ledwig, Francisco E. Robles

Author Affiliations +

Proceedings Volume 11653, Quantitative Phase Imaging VII; 116530V (2021) https://doi.org/10.1117/12.2579332
Event: SPIE BiOS, 2021, Online Only

Abstract

Accurate reconstruction methods are needed to extend the reach of quantitative 3D microscopy to diverse samples in biology with illumination in an arbitrary states of spatial and temporal coherence. Recent research in optical diffraction tomography (ODT) reconstruction has incorporated non-invertible physics-based forward models, such as beam propagation or the Lippman-Schwinger equation, to overcome these effects. However, partially coherent methods have yet to incorporate more accurate physical models, as these artifacts are reduced by the incoherence of the illumination and require heavy computation. Here we leverage the sparsity of the 3D Green’s function solution to the Helmholtz equation in k-space to reduce the problem’s dimensionality to rapidly compute a partially coherent forward model, allowing for a gradient descent-type iterative solver to reconstruct 3D thick biological samples in a variety of illuminations, including broadband light.

Conference Presentation

Citation Download Citation

Patrick B. Ledwig and Francisco E. Robles "Non-linear 3D tomographic object reconstruction of partially coherent broadband transmission illumination microscopy systems", Proc. SPIE 11653, Quantitative Phase Imaging VII, 116530V (5 March 2021); https://doi.org/10.1117/12.2579332

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