Image restoration for three-dimensional fluorescence microscopy using an orthonormal basis for efficient representation of depthvariant point-spread functions
Abstract
A depth-variant (DV) image restoration algorithm for wide field fluorescence microscopy, using an orthonormal basis decomposition of DV point-spread functions (PSFs), is investigated in this study. The efficient PSF representation is based on a previously developed principal component analysis (PCA), which is computationally intensive. We present an approach developed to reduce the number of DV PSFs required for the PCA computation, thereby making the PCA-based approach computationally tractable for thick samples. Restoration results from both synthetic and experimental images show consistency and that the proposed algorithm addresses efficiently depth-induced aberration using a small number of principal components. Comparison of the PCA-based algorithm with a previously-developed strata-based DV restoration algorithm demonstrates that the proposed method improves performance by 50% in terms of accuracy and simultaneously reduces the processing time by 64% using comparable computational resources.
Publication Title
Biomedical Optics Express
Recommended Citation
Patwary, N., & Preza, C. (2015). Image restoration for three-dimensional fluorescence microscopy using an orthonormal basis for efficient representation of depthvariant point-spread functions. Biomedical Optics Express (10), 3826-3841. https://doi.org/10.1364/BOE.6.003826
