2014
DOI: 10.1364/boe.5.003443
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Optical projection tomography as a tool for 3D imaging of hydrogels

Abstract: 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 th… Show more

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Cited by 26 publications
(40 citation statements)
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“…From day 1 to day 7, hydrogels presented a homogeneous intensities distribution characteristic of transparent hydrogels (random coil main conformation). From day 10 until day 14, an increase in entropy was observed, which is related with a random intensity distribution in high density hydrogels (β-sheet main conformation) [ 40 , 41 ].…”
Section: Resultsmentioning
confidence: 99%
“…From day 1 to day 7, hydrogels presented a homogeneous intensities distribution characteristic of transparent hydrogels (random coil main conformation). From day 10 until day 14, an increase in entropy was observed, which is related with a random intensity distribution in high density hydrogels (β-sheet main conformation) [ 40 , 41 ].…”
Section: Resultsmentioning
confidence: 99%
“…Filtered back projection (FBP) algorithms are the most commonly used algorithm for OPT reconstruction . However, FBP algorithm cannot be fully applied to OPT reconstructions .…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, due to the transparency of most hydrogels, clearing protocols are not required for OPT imaging. 26 In the present work, we aim to show for the first time how OPT can offer methods to characterize hydrogel structure and its properties, expanding the preliminary results by Figueiras et al 27 and Soto and co-workers. 26,28 Here we demonstrate the characterization of gellan-gum-based hydrogels by analyzing image microtextures and mass transport properties.…”
Section: Introductionmentioning
confidence: 84%