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Restoration of Uneven Illumination in Light Sheet Microscopy Images

Published online by Cambridge University Press:  20 June 2011

Mohammad Shorif Uddin ,
Hwee Kuan Lee ,
Stephan Preibisch  and
Pavel Tomancak
Mohammad Shorif Uddin
Affiliation:
Imaging Informatics Division, Bioinformatics Institute, 30 Biopolis Street, Singapore13867
Hwee Kuan Lee*
Affiliation:
Imaging Informatics Division, Bioinformatics Institute, 30 Biopolis Street, Singapore13867
Stephan Preibisch
Affiliation:
Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
Pavel Tomancak
Affiliation:
Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
*
Corresponding author. E-mail: leehk@bii.a-star.edu.sg
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Abstract

Light microscopy images suffer from poor contrast due to light absorption and scattering by the media. The resulting decay in contrast varies exponentially across the image along the incident light path. Classical space invariant deconvolution approaches, while very effective in deblurring, are not designed for the restoration of uneven illumination in microscopy images. In this article, we present a modified radiative transfer theory approach to solve the contrast degradation problem of light sheet microscopy (LSM) images. We confirmed the effectiveness of our approach through simulation as well as real LSM images.

Keywords

digital image processingimage reconstruction-restorationmicroscopymathematical methods in physics
Type
Technology and Software Development Light and Confocal Microscopy
Information
Microscopy and Microanalysis , Volume 17 , Issue 4 , August 2011 , pp. 607 - 613
Copyright
Copyright © Microscopy Society of America 2011

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