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Journal of Electronic Imaging

Real-time restoration of white-light confocal microscope optical sections
Author(s): Madhusudhanan Balasubramanian; S. Sitharama Iyengar; Roger W. Beuerman; Juan Reynaud; Peter Wolenski
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Paper Abstract

Confocal microscopes (CM) are routinely used for building 3-D images of microscopic structures. Nonideal imaging conditions in a white-light CM introduce additive noise and blur. The optical section images need to be restored prior to quantitative analysis. We present an adaptive noise filtering technique using Karhunen–Loéve expansion (KLE) by the method of snapshots and a ringing metric to quantify the ringing artifacts introduced in the images restored at various iterations of iterative Lucy–Richardson deconvolution algorithm. The KLE provides a set of basis functions that comprise the optimal linear basis for an ensemble of empirical observations. We show that most of the noise in the scene can be removed by reconstructing the images using the KLE basis vector with the largest eigenvalue. The prefiltering scheme presented is faster and does not require prior knowledge about image noise. Optical sections processed using the KLE prefilter can be restored using a simple inverse restoration algorithm; thus, the methodology is suitable for real-time image restoration applications. The KLE image prefilter outperforms the temporal-average prefilter in restoring CM optical sections. The ringing metric developed uses simple binary morphological operations to quantify the ringing artifacts and confirms with the visual observation of ringing artifacts in the restored images.

Paper Details

Date Published: 1 July 2007
PDF: 11 pages
J. Electron. Imag. 16(3) 033009 doi: 10.1117/1.2768092
Published in: Journal of Electronic Imaging Volume 16, Issue 3
Show Author Affiliations
Madhusudhanan Balasubramanian
S. Sitharama Iyengar, Louisiana State Univ. (United States)
Roger W. Beuerman, Louisiana State Univ. (United States)
Juan Reynaud, Louisiana State Univ. (United States)
Peter Wolenski, Louisiana State Univ. (United States)

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