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Spectral correlation analysis of Amyloid beta plaque inhomogeneity from double staining experiments
Norwegian University of Science and Technology, Faculty of Natural Sciences and Technology, Department of Physics.
Linköpings universitet.
Norwegian University of Science and Technology, Faculty of Natural Sciences and Technology, Department of Physics.
Norwegian University of Science and Technology, Faculty of Natural Sciences and Technology, Department of Physics.
2013 (English)In: Journal of Biomedical Optics, ISSN 1083-3668, E-ISSN 1560-2281, Vol. 18, no 10Article in journal (Refereed) Published
Abstract [en]

A spectral correlation algorithm for the analysis of hyperspectral fluorescence images is proposed by Ellingsen et al. [J. Biomed. Opt. 18, 020501 (2013)]. Here, it is applied to the analysis of double-stained Aβ amyloid plaques being related to the Alzheimer’s disease (AD). Sections of APP/PS1 AD mice model brains are double stained with luminescent-conjugated oligothiophenes, known to bind to amyloid protein deposits. Hyperspectral fluorescence images of the brain sections are recorded and by applying the correlation algorithm the spectral inhomogeneity of the double-stained samples is mapped in terms of radial distribution and spectral content. To further investigate the progression of Aβ amyloid plaque formation, 19 AD mice of different ages up to 23 months are characterized, enabling a statistical analysis of the plaque heterogeneity. In accordance with recent findings by Nyström et al. [ACS Chem. Biol. 8, 1128–1133 (2013)], the spectral distribution within Aβ plaques is found to vary with age throughout the lifespan of the mouse. With the new correlation algorithm, it is possible to quantify the spectral abundance of the two stains depending on the relative distance from the plaque center and mouse age. Thus, we demonstrate the use of the correlation analysis approach in double-staining experiments and how it is possible to relate these to structural/spectral changes in biological samples.

Place, publisher, year, edition, pages
2013. Vol. 18, no 10
URN: urn:nbn:no:ntnu:diva-26594DOI: 10.1117/1.JBO.18.10.101313OAI: diva2:748971

© The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

Available from: 2014-09-22 Created: 2014-09-22 Last updated: 2014-09-23Bibliographically approved
In thesis
1. Polarimetric and hyperspectral imaging methods for characterisation of bio- and nanomaterials
Open this publication in new window or tab >>Polarimetric and hyperspectral imaging methods for characterisation of bio- and nanomaterials
2014 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Presented here is the development of a time gated Raman spectrometer, a new method for designing polarimeters, testing of an overdetermined Mueller matrix imaging ellipsometer and Mueller matrix imaging of collagen fibre directions and silicon strain. In addition, a new method, spectral correlation, for analysing hyperspectral images, is developed, implemented and tested.

The time gated Raman spectrometer is capable of gating away long lifetime luminescence (> 2 ns), by using a time gated ICCD and a 2 ns pulsed Nd:YAG laser. Furthermore, the system can be used to study UV resonance Raman effects, due to the third (355 nm) and fourth (266 nm) order harmonic excitations available.

For optimising broadband polarimeters, genetic algorithms are employed. The resulting polarimeters are demonstrated to have a lower noise propagation and a broader spectral range, compared to previous commercial and patented designs. One of the designs is realised as a Mueller matrix liquid crystal variable retarder based ellipsometer. Its performance is in good agreement with computer optimised models. For calibrating the instrument, an extended version of the eigenvalue calibration method is employed.

Mueller matrix imaging is used together with state of the art decomposition methods to image collagen fibre orientations in cartilage and tendon. 3D directional imaging of the collagen fibres is achieved by using different angles of incidence upon the sample and a new method for calculating the fibre direction from the linear retardance. The method uses an effective medium approach to justify that the slow axis is along the direction of the fibres. A similar approach is used to study strain in silicon wafers.

Lastly, a spectral correlation method for analysing hyperspectral fluorescence images is developed and demonstrated to be good for analysing double stained amyloid plaques in mice. The resulting analysis allows for calculating the radius dependent mean and standard deviations for a set of plaques as a function of radius. By studying amyloid plaques from mice of different ages, it was found that there were significant changes with age in the structure of the plaques. Furthermore, the method was found to work well for analysing multi-component Raman spectra, where it detected small amounts of tetrahydrofuran in water.

Place, publisher, year, edition, pages
NTNU: NTNU-trykk, 2014
Doctoral theses at NTNU, ISSN 1503-8181 ; 2014:238
National Category
urn:nbn:no:ntnu:diva-26601 (URN)978-82-326-0392-3 (printed ver.) (ISBN)978-82-326-0393-0 (electronic ver.) (ISBN)
Public defence
2014-08-29, 13:15
Available from: 2014-09-23 Created: 2014-09-23 Last updated: 2014-09-23Bibliographically approved

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