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  4. Intensity-Based Point-Spread-Function-Aware Registration for Multi-View Applications in Optical Microscopy
 
conference paper

Intensity-Based Point-Spread-Function-Aware Registration for Multi-View Applications in Optical Microscopy

Chacko, Nikhil
•
Chan, Kevin G.
•
Liebling, Michael
2015
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)
Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on

We present an algorithm to spatially register two volumetric datasets related via a rigid-body transform and degraded by an anisotropic point-spread-function (PSF). Registration is necessary, for example, when fusing data in multi-view microscopy. Automatic algorithms that only rely on maximizing pixel similarity, without accounting for the anisotropic image formation process, provide poor results in such applications. We propose to solve this problem by re-blurring the reference and test data with transformed forms of the PSF, in order to make them comparable, before minimizing the mean squared intensity difference between them. Our approach extends the pyramid-based sub-pixel registration algorithm proposed by Thévenaz et al., 1998, that employs an improved form of the Marquardt-Levenberg algorithm. We show, via simulations, that our method is more accurate than the conventional approach that does not account for the PSF. We demonstrate our algorithm in practice by registering multi-view volumes of a zebrafish larva acquired using a wide-field microscope.

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Type
conference paper
DOI
10.1109/ISBI.2015.7163874
Author(s)
Chacko, Nikhil
Chan, Kevin G.
Liebling, Michael
Date Issued

2015

Published in
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)
Start page

306

End page

309

Subjects

Fluorescence Microscopy

•

Fluorescence tomography

•

Image registration

Written at

EPFL

EPFL units
LIDIAP  
Event name
Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on
Available on Infoscience
February 19, 2015
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/111083
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