Accelerated phase aberration compensation using the fast principal component analysis algorithm
Abstract
An accelerated phase aberration compensation method is proposed. The method uses the computationally efficient fast principal component analysis algorithm (FPCA) instead of the singular value decomposition (SVD) based PCA. FPCA bypasses the computation of all principal components aside from the first principal component (PC1), which is what is used to approximate the phase aberration. The removal of the phase aberration term was demonstrated on a digitally reconstructed wavefront of a cheek cell. It was found that phase compensation using FPCA was not only 10x faster compared to PCA by SVD but also takes up lesser storage space. It was also shown that the efficiency of FPCA compared to PCA by SVD increases for images with higher dimensionality. The proposed technique has the advantage of preserving the whole spectrum of the image without trading off an increase in computational time. The proposed technique is visioned to be helpful in realizing high-speed quantitative phase imaging methods with automatic phase compensation.
Downloads
Published
Issue
Section
License
By submitting their manuscript to the Samahang Pisika ng Pilipinas (SPP) for consideration, the Authors warrant that their work is original, does not infringe on existing copyrights, and is not under active consideration for publication elsewhere.
Upon acceptance of their manuscript, the Authors further agree to grant SPP the non-exclusive, worldwide, and royalty-free rights to record, edit, copy, reproduce, publish, distribute, and use all or part of the manuscript for any purpose, in any media now existing or developed in the future, either individually or as part of a collection.
All other associated economic and moral rights as granted by the Intellectual Property Code of the Philippines are maintained by the Authors.
