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Improving signal detection in emission optical projection tomography via single source multi-exposure image fusion
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).
Oulu Center for Cell-Matrix Research, Biocenter Oulu, Laboratory of Developmental Biology and Department of Medical Biochemistry and Molecular Biology, Institute of Biomedicine, University of Oulu, Finland.
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2013 (English)In: Optics Express, ISSN 1094-4087, Vol. 21, no 14, 16584-16604 p.Article in journal (Refereed) Published
Abstract [en]

We demonstrate a technique to improve structural data obtained from Optical Projection Tomography (OPT) using Image Fusion (IF) and contrast normalization. This enables the visualization of molecular expression patterns in biological specimens with highly variable contrast values. In the approach, termed IF-OPT, different exposures are fused by assigning weighted contrasts to each. When applied to projection images from mouse organs and digital phantoms our results demonstrate the capability of IF-OPT to reveal high and low signal intensity details in challenging specimens. We further provide measurements to highlight the benefits of the new algorithm in comparison to other similar methods.

Place, publisher, year, edition, pages
Optical Society of America, 2013. Vol. 21, no 14, 16584-16604 p.
National Category
Other Medical Biotechnology
URN: urn:nbn:se:umu:diva-80512DOI: 10.1364/OE.21.016584OAI: diva2:649853
Swedish Research CouncilEU, European Research Council, CP-IP 228933-2
Available from: 2013-09-19 Created: 2013-09-19 Last updated: 2016-05-03Bibliographically 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.
Umeå University medical dissertations, ISSN 0346-6612 ; 1811
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)
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)
Available from: 2016-05-04 Created: 2016-04-29 Last updated: 2016-05-26Bibliographically approved

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Cheddad, AbbasNord, ChristofferHörnblad, AndreasEriksson, MariaGeorgsson, FredrikAhlgren, Ulf
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Umeå Centre for Molecular Medicine (UCMM)Department of Computing Science
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