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Optical projection tomography as a tool for 3D imaging of hydrogels
Author(s) -
Edite Figueiras,
Ana M. Soto,
Danilo Andrade De Jesus,
Mari Lehti,
Janne T. Koivisto,
Jenny E. Párraga,
Joana SilvaCorreia,
Joaquím M. Oliveira,
Rui L. Reis,
Minna Kellomäki,
Jari Hyttinen
Publication year - 2014
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.5.003443
Subject(s) - self healing hydrogels , projection (relational algebra) , tomography , computer science , diffuse optical imaging , computer vision , variance (accounting) , artificial intelligence , iterative reconstruction , rotation (mathematics) , sample (material) , optics , instant centre of rotation , biomedical engineering , algorithm , materials science , physics , medicine , accounting , polymer chemistry , business , thermodynamics
An Optical Projection Tomography (OPT) system was developed and optimized to image 3D tissue engineered products based in hydrogels. We develop pre-reconstruction algorithms to get the best result from the reconstruction procedure, which include correction of the illumination and determination of sample center of rotation (CoR). Existing methods for CoR determination based on the detection of the maximum variance of reconstructed slices failed, so we develop a new CoR search method based in the detection of the variance sharpest local maximum. We show the capabilities of the system to give quantitative information of different types of hydrogels that may be useful in its characterization.

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