Literature DB >> 15802050

Factors influencing quantification of in vivo bioluminescence imaging: application to assessment of pancreatic islet transplants.

John Virostko1, Zhongyi Chen, Michael Fowler, Greg Poffenberger, Alvin C Powers, E Duco Jansen.   

Abstract

The aim of this study is to determine and characterize factors influencing in vivo bioluminescence imaging (BLI) and apply them to the specific application of imaging transplanted pancreatic islets. Noninvasive quantitative assessment of transplanted pancreatic islets poses a formidable challenge. Murine pancreatic islets expressing firefly luciferase were transplanted under the renal capsule or into the portal vein of nonobese diabetic-severe combined immunodeficiency mice and the bioluminescence was quantified with a cooled charge coupled device camera and digital photon image analysis. The important, but often neglected, effects of wound healing, mouse positioning, and transplantation site on bioluminescence measurements were investigated by imaging a constant emission, isotropic light-emitting bead (lambda = 600) implanted at the renal or hepatic site. The renal beads emitted nearly four times more light than hepatic beads with a smaller spot size, indicating that light absorption and scatter are greatly influenced by the transplant site and must be accounted for in BLI measurements. Detected luminescence decreased with increasing angle between the mouse surface normal and optical axis. By defining imaging parameters such as postsurgical effects, animal positioning, and light attenuation as a function of transplant site, this study develops BLI as a useful imaging modality for quantitative assessment of islets post-transplantation.

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Year:  2004        PMID: 15802050     DOI: 10.1162/1535350042973508

Source DB:  PubMed          Journal:  Mol Imaging        ISSN: 1535-3508            Impact factor:   4.488


  28 in total

1.  Current status of imaging pancreatic islets.

Authors:  John Virostko; Eric Duco Jansen; Alvin C Powers
Journal:  Curr Diab Rep       Date:  2006-08       Impact factor: 4.810

Review 2.  Noninvasive imaging of islet transplantation and rejection.

Authors:  Jason L Gaglia
Journal:  Curr Diab Rep       Date:  2007-08       Impact factor: 4.810

Review 3.  MRI as a tool to monitor islet transplantation.

Authors:  Zdravka Medarova; Anna Moore
Journal:  Nat Rev Endocrinol       Date:  2009-06-23       Impact factor: 43.330

Review 4.  Imaging the pancreas: from ex vivo to non-invasive technology.

Authors:  D Holmberg; U Ahlgren
Journal:  Diabetologia       Date:  2008-09-06       Impact factor: 10.122

Review 5.  Molecular imaging of β-cells: diabetes and beyond.

Authors:  Weijun Wei; Emily B Ehlerding; Xiaoli Lan; Quan-Yong Luo; Weibo Cai
Journal:  Adv Drug Deliv Rev       Date:  2018-07-03       Impact factor: 15.470

6.  A novel method for quantitative monitoring of transplanted islets of langerhans by positive contrast magnetic resonance imaging.

Authors:  L A Crowe; F Ris; S Nielles-Vallespin; P Speier; S Masson; M Armanet; P Morel; C Toso; D Bosco; T Berney; J-P Vallee
Journal:  Am J Transplant       Date:  2011-05-12       Impact factor: 8.086

7.  Advances in molecular imaging of pancreatic beta cells.

Authors:  Mai Lin; Angelo Lubag; Michael J McGuire; Serguei Y Seliounine; Edward N Tsyganov; Peter P Antich; A Dean Sherry; Kathlynn C Brown; Xiankai Sun
Journal:  Front Biosci       Date:  2008-05-01

Review 8.  Non-invasive detection of transplanted pancreatic islets.

Authors:  Z Medarova; A Moore
Journal:  Diabetes Obes Metab       Date:  2008-11       Impact factor: 6.577

9.  Bioluminescent imaging of transplanted islets.

Authors:  Xiaojuan Chen; Dixon B Kaufman
Journal:  Methods Mol Biol       Date:  2009

10.  Bioluminescence imaging in mouse models quantifies beta cell mass in the pancreas and after islet transplantation.

Authors:  John Virostko; Aramandla Radhika; Greg Poffenberger; Zhongyi Chen; Marcela Brissova; Joshua Gilchrist; Brian Coleman; Maureen Gannon; E Duco Jansen; Alvin C Powers
Journal:  Mol Imaging Biol       Date:  2009-06-23       Impact factor: 3.488

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