3D image restoration for confocal microscopy: toward a wavelet deconvolution for the study of complex biological structures

Jacques Boutet de Monvel; Sophie Le Calvez; Mats Ulfendahl

doi:10.1117/12.384187

2 May 2000 3D image restoration for confocal microscopy: toward a wavelet deconvolution for the study of complex biological structures

Jacques Boutet de Monvel, Sophie Le Calvez, Mats Ulfendahl

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Proceedings Volume 3919, Three-Dimensional and Multidimensional Microscopy: Image Acquisition Processing VII; (2000) https://doi.org/10.1117/12.384187
Event: BiOS 2000 The International Symposium on Biomedical Optics, 2000, San Jose, CA, United States

Abstract

Image restoration algorithms provide efficient tools for recovering part of the information lost in the imaging process of a microscope. We describe recent progress in the application of deconvolution to confocal microscopy. The point spread function of a Biorad-MRC1024 confocal microscope was measured under various imaging conditions, and used to process 3D-confocal images acquired in an intact preparation of the inner ear developed at Karolinska Institutet. Using these experiments we investigate the application of denoising methods based on wavelet analysis as a natural regularization of the deconvolution process. Within the Bayesian approach to image restoration, we compare wavelet denoising with the use of a maximum entropy constraint as another natural regularization method. Numerical experiments performed with test images show a clear advantage of the wavelet denoising approach, allowing to `cool down' the image with respect to the signal, while suppressing much of the fine-scale artifacts appearing during deconvolution due to the presence of noise, incomplete knowledge of the point spread function, or undersampling problems. We further describe a natural development of this approach, which consists of performing the Bayesian inference directly in the wavelet domain.

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Jacques Boutet de Monvel, Sophie Le Calvez, and Mats Ulfendahl "3D image restoration for confocal microscopy: toward a wavelet deconvolution for the study of complex biological structures", Proc. SPIE 3919, Three-Dimensional and Multidimensional Microscopy: Image Acquisition Processing VII, (2 May 2000); https://doi.org/10.1117/12.384187

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KEYWORDS

Wavelets

Confocal microscopy

Deconvolution

Point spread functions

Denoising

Image processing

Image restoration

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