Umeå universitets logga

umu.sePublikationer
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Near infrared optical projection tomography for assessments of beta-cell mass distribution in diabetes research
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).
Umeå universitet, Medicinska fakulteten, Umeå centrum för molekylär medicin (UCMM).
Visa övriga samt affilieringar
2013 (Engelska)Ingår i: Journal of Visualized Experiments, E-ISSN 1940-087X, Vol. 71, artikel-id e50238Artikel i tidskrift (Refereegranskat) 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.

Ort, förlag, år, upplaga, sidor
2013. Vol. 71, artikel-id e50238
Nationell ämneskategori
Biomedicinsk laboratorievetenskap/teknologi
Identifikatorer
URN: urn:nbn:se:umu:diva-64029DOI: 10.3791/50238ISI: 000209226200052PubMedID: 23353681Scopus ID: 2-s2.0-84875029265OAI: oai:DiVA.org:umu-64029DiVA, id: diva2:587019
Tillgänglig från: 2013-01-14 Skapad: 2013-01-14 Senast uppdaterad: 2024-01-17Bibliografiskt granskad
Ingår i avhandling
1. The Colours of Diabetes: advances and novel applications of molecular optical techniques for studies of the pancreas
Öppna denna publikation i ny flik eller fönster >>The Colours of Diabetes: advances and novel applications of molecular optical techniques for studies of the pancreas
2016 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
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.

Ort, förlag, år, upplaga, sidor
Umeå: Umeå universitet, 2016. s. 55
Serie
Umeå University medical dissertations, ISSN 0346-6612 ; 1811
Nyckelord
Optical projection tomography, Technique development, Near-infrared, 3D visualization, Biomedical imaging, ß-cell mass, Diabetes, Vibrational micro spectroscopy
Nationell ämneskategori
Medicinsk bioteknologi (med inriktning mot cellbiologi (inklusive stamcellsbiologi), molekylärbiologi, mikrobiologi, biokemi eller biofarmaci)
Identifikatorer
urn:nbn:se:umu:diva-119845 (URN)978-91-7601-426-4 (ISBN)
Disputation
2016-05-26, Hörsal Betula, Målpunkt L, Plan 0, Norrlands Universitets sjukhus, Umeå, 09:00 (Engelska)
Opponent
Handledare
Tillgänglig från: 2016-05-04 Skapad: 2016-04-29 Senast uppdaterad: 2021-09-22Bibliografiskt granskad

Open Access i DiVA

fulltext(1171 kB)234 nedladdningar
Filinformation
Filnamn FULLTEXT01.pdfFilstorlek 1171 kBChecksumma SHA-512
2c58c1415a691734a577d0de952e1a3ad356898f556ec2b8bbb338e6c590a220e000a47185210451ecc5c07e3bfde65d98ce9023a4383263d252d2eb3b638738
Typ fulltextMimetyp application/pdf

Övriga länkar

Förlagets fulltextPubMedScopus

Person

Eriksson, Anna U.Svensson, ChristofferHörnblad, AndreasCheddad, AbbasKostromina, ElenaEriksson, MariaNorlin, NilsGeorgsson, FredrikAlanentalo, TomasAhlgren, Ulf

Sök vidare i DiVA

Av författaren/redaktören
Eriksson, Anna U.Svensson, ChristofferHörnblad, AndreasCheddad, AbbasKostromina, ElenaEriksson, MariaNorlin, NilsGeorgsson, FredrikAlanentalo, TomasAhlgren, Ulf
Av organisationen
Umeå centrum för molekylär medicin (UCMM)Institutionen för datavetenskap
I samma tidskrift
Journal of Visualized Experiments
Biomedicinsk laboratorievetenskap/teknologi

Sök vidare utanför DiVA

GoogleGoogle Scholar
Totalt: 234 nedladdningar
Antalet nedladdningar är summan av nedladdningar för alla fulltexter. Det kan inkludera t.ex tidigare versioner som nu inte längre är tillgängliga.

doi
pubmed
urn-nbn

Altmetricpoäng

doi
pubmed
urn-nbn
Totalt: 926 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf