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Near infrared optical projection tomography for assessments of β-cell mass distribution in diabetes research
Umeå University, Faculty of Medicine, Umeå Centre for Molecular Medicine (UCMM).
Umeå University, Faculty of Medicine, Umeå Centre for Molecular Medicine (UCMM).
Umeå University, Faculty of Medicine, Umeå Centre for Molecular Medicine (UCMM).
Umeå University, Faculty of Medicine, Umeå Centre for Molecular Medicine (UCMM).
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2013 (English)In: Journal of Visualized Experiments, ISSN 1940-087X, E-ISSN 1940-087X, Vol. 71, no e50238Article in journal (Refereed) Published
Abstract [en]

By adapting OPT to include the capability of imaging in the near infrared (NIR) spectrum, we here illustrate the possibility to image larger bodies of pancreatic tissue, such as the rat pancreas, and to increase the number of channels (cell types) that may be studied in a single specimen. We further describe the implementation of a number of computational tools that provide: 1/ accurate positioning of a specimen's (in our case the pancreas) centre of mass (COM) at the axis of rotation (AR)2; 2/ improved algorithms for post-alignment tuning which prevents geometric distortions during the tomographic reconstruction2 and 3/ a protocol for intensity equalization to increase signal to noise ratios in OPT-based BCM determinations3. In addition, we describe a sample holder that minimizes the risk for unintentional movements of the specimen during image acquisition. Together, these protocols enable assessments of BCM distribution and other features, to be performed throughout the volume of intact pancreata or other organs (e.g. in studies of islet transplantation), with a resolution down to the level of individual islets of Langerhans.

Place, publisher, year, edition, pages
2013. Vol. 71, no e50238
National Category
Biomedical Laboratory Science/Technology
Identifiers
URN: urn:nbn:se:umu:diva-64029DOI: 10.3791/50238OAI: oai:DiVA.org:umu-64029DiVA: diva2:587019
Available from: 2013-01-14 Created: 2013-01-14 Last updated: 2017-12-06Bibliographically approved
In thesis
1. The Colours of Diabetes: advances and novel applications of molecular optical techniques for studies of the pancreas
Open this publication in new window or tab >>The Colours of Diabetes: advances and novel applications of molecular optical techniques for studies of the pancreas
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Diabetes is a rapidly increasing health problem. In a global perspective,approximately 415 million people suffered from diabetes in 2015 and this number ispredicted to increase to 640 million by 2040. To tackle this pandemic there is a needfor better analytical tools by which we can increase our understanding of the disease.One discipline that has already provided much needed insight to diabetes etiology isoptical molecular imaging. Using various forms of light it is possible to create animage of the analysed sample that can provide information about molecularmechanistic aspects of the disease and to follow spatial and temporal dynamics.

The overall aim of this thesis is to improve and adapt existing andnovel optical imaging approaches for their specific use in diabetes research. Hereby,we have focused on three techniques: (I) Optical projection tomography (OPT),which can be described as the optical equivalent of x-ray computed tomography(CT), and two vibrational microspectroscopic (VMS) techniques, which records theunique vibrational signatures of molecules building up the sample: (II) Fouriertransforminfrared vibrational microspectroscopy (FT-IR) and (III) Ramanvibrational microspectroscopy (Raman).

The computational tools and hardware applications presented here generallyimprove OPT data quality, processing speed, sample size and channel capacity.Jointly, these developments enable OPT as a routine tool in diabetes research,facilitating aspects of e.g. pancreatic β-cell generation, proliferation,reprogramming, destruction and preservation to be studied throughout the pancreaticvolume and in large cohorts of experimental animals. Further, a novel application ofmultivariate analysis of VMS data derived from pancreatic tissues is introduced.This approach enables detection of novel biochemical alterations in the pancreasduring diabetes disease progression and can be used to confirm previously reportedbiochemical alterations, but at an earlier stage. Finally, our studies indicate thatRaman imaging is applicable to in vivo studies of grafted islets of Langerhans,allowing for longitudinal studies of pancreatic islet biochemistry.viIn summary, presented here are new and improved methods by which opticalimaging techniques can be utilised to study 3D-spatial, quantitative andmolecular/biochemical alterations of the normal and diseased pancreas.

Place, publisher, year, edition, pages
Umeå: Umeå universitet, 2016. 55 p.
Series
Umeå University medical dissertations, ISSN 0346-6612 ; 1811
Keyword
Optical projection tomography, Technique development, Near-infrared, 3D visualization, Biomedical imaging, ß-cell mass, Diabetes, Vibrational micro spectroscopy
National Category
Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)
Identifiers
urn:nbn:se:umu:diva-119845 (URN)978-91-7601-426-4 (ISBN)
Public defence
2016-05-26, Hörsal Betula, Målpunkt L, Plan 0, Norrlands Universitets sjukhus, Umeå, 09:00 (English)
Opponent
Supervisors
Available from: 2016-05-04 Created: 2016-04-29 Last updated: 2017-05-04Bibliographically approved

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Eriksson, AnnaSvensson, ChristofferHörnblad, AndreasCheddad, AbbasKostromina, ElenaEriksson, MariaNorlin, NilsGeorgsson, FredrikAlanentalo, TomasAhlgren, Ulf
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