ADMM approach for efficient iterative tomographic deconvolution reconstruction of 3D quantitative phase images

Tomographic deconvolution phase microscopy (TDPM) is a promising approach for 3D quantitative imaging of phase objects such as biological cells and optical fibers. In the present work, the alternating direction method of multipliers (ADMM) is applied to TDPM to shorten its image acquisition and processing times while simultaneously improving its accuracy. ADMM-TDPM is used to optimize the image fidelity by minimizing Gaussian noise and by using total variation regularization with the constraints of nonnegativity and known zeros. ADMM-TDPM can reconstruct phase objects that are shift variant in three spatial dimensions. ADMM-TDPM achieves speedups of 5x in image acquisition time and greater than 10x in image processing time with accompanying higher accuracy compared to TDPM. (C) 2021 Optical Society of America

Automated summary

In this study, the alternating direction method of multipliers (ADMM) is applied to tomographic deconvolution phase microscopy (TDPM) to optimize image fidelity by minimizing noise, using total variation regularization, and implementing constraints. ADMM-TDPM achieves speedups in image acquisition and processing times with higher accuracy compared to TDPM.