Improving PSF calibration in confocal microscopic imaging---estimating and exploiting bilateral symmetry
Nicolai Bissantz, Hajo Holzmann, Miros{\l}aw Pawlak

TL;DR
This paper introduces a method to estimate and exploit bilateral symmetry in confocal microscopy images for improved PSF calibration, using Zernike series and asymptotic analysis, leading to better image deconvolution.
Contribution
It proposes a novel symmetry estimation technique based on Zernike functions, with proven convergence and normality, applied to PSF calibration in confocal microscopy.
Findings
Estimated symmetry axes are close to device axes, indicating minor optical misalignments.
Symmetrizing the PSF improves subsequent image reconstruction.
The method achieves parametric convergence rates and asymptotic normality.
Abstract
A method for estimating the axis of reflectional symmetry of an image on the unit disc is proposed, given that noisy data of are observed on a discrete grid of edge width . Our estimation procedure is based on minimizing over the distance between empirical versions of and , the image of after reflection at the axis along . Here, and are estimated using truncated radial series of the Zernike type. The inherent symmetry properties of the Zernike functions result in a particularly simple estimation procedure for . It is shown that the estimate converges at the parametric rate for images of bounded variation. Further, we establish asymptotic normality of if is Lipschitz continuous. The method…
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