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Improving signal detection in emission optical projection tomography via single source multi-exposure image fusion
Umeå universitet, Medicinska fakulteten, Umeå centrum för molekylär medicin (UCMM).
Umeå universitet, Medicinska fakulteten, Umeå centrum för molekylär medicin (UCMM).
Umeå universitet, Medicinska fakulteten, Umeå centrum för molekylär medicin (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.
Vise andre og tillknytning
2013 (engelsk)Inngår i: Optics Express, E-ISSN 1094-4087, Vol. 21, nr 14, s. 16584-16604Artikkel i tidsskrift (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
Optical Society of America, 2013. Vol. 21, nr 14, s. 16584-16604
HSV kategori
Identifikatorer
URN: urn:nbn:se:umu:diva-80512DOI: 10.1364/OE.21.016584ISI: 000321819400038PubMedID: 23938510Scopus ID: 2-s2.0-84880537960OAI: oai:DiVA.org:umu-80512DiVA, id: diva2:649853
Forskningsfinansiär
Swedish Research CouncilEU, European Research Council, CP-IP 228933-2Tilgjengelig fra: 2013-09-19 Laget: 2013-09-19 Sist oppdatert: 2023-03-23bibliografisk kontrollert
Inngår i avhandling
1. The Colours of Diabetes: advances and novel applications of molecular optical techniques for studies of the pancreas
Åpne denne publikasjonen i ny fane eller vindu >>The Colours of Diabetes: advances and novel applications of molecular optical techniques for studies of the pancreas
2016 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
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.

sted, utgiver, år, opplag, sider
Umeå: Umeå universitet, 2016. s. 55
Serie
Umeå University medical dissertations, ISSN 0346-6612 ; 1811
Emneord
Optical projection tomography, Technique development, Near-infrared, 3D visualization, Biomedical imaging, ß-cell mass, Diabetes, Vibrational micro spectroscopy
HSV kategori
Identifikatorer
urn:nbn:se:umu:diva-119845 (URN)978-91-7601-426-4 (ISBN)
Disputas
2016-05-26, Hörsal Betula, Målpunkt L, Plan 0, Norrlands Universitets sjukhus, Umeå, 09:00 (engelsk)
Opponent
Veileder
Tilgjengelig fra: 2016-05-04 Laget: 2016-04-29 Sist oppdatert: 2021-09-22bibliografisk kontrollert

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