Presentation + Paper
4 March 2022 Characterization and optimization of coupled-wave simulations for complex heterogeneous samples
Author Affiliations +
Abstract
Understanding the interactions between light and small samples at the diffraction limit is critical for solving inverse problems in microscopy. Several models for light and matter interactions have been proposed, including Born and Rytov approximations, Mie theory, T-matrix, Finite element methods, and coupled wave theory. Coupled wave approaches provide unique advantages for realistic samples by allowing refinement of the sample in the Fourier domain, where many realistic samples are considered sparse. However, this model still relies on computationally intensive operations as the sample and field resolution increases. In this paper, we develop an optimized open-source tool using established coupled-wave theory. This can be computationally efficient for realistic problems, since many practical samples are sparse in the Fourier domain. Then we analyze the computational complexity of the model and optimize the process.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ruijiao Sun, Rohith Reddy, and David Mayerich "Characterization and optimization of coupled-wave simulations for complex heterogeneous samples", Proc. SPIE 11995, Physics and Simulation of Optoelectronic Devices XXX, 119950G (4 March 2022); https://doi.org/10.1117/12.2609179
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KEYWORDS
Refractive index

Spatial frequencies

Statistical modeling

Wave propagation

Mie scattering

Finite element methods

Microscopy

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