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Longitudinal In Viv...
Longitudinal In Vivo Imaging and Quantification of Human Pancreatic Islet Grafting and Contributing Host Cells in the Anterior Eye Chamber
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- Nilsson, Julia (författare)
- Lund University,Lunds universitet,Autoimmunitet,Forskargrupper vid Lunds universitet,Autoimmunity,Lund University Research Groups
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- Holmberg, Dan (författare)
- Lund University,Lunds universitet,Autoimmunitet,Forskargrupper vid Lunds universitet,Autoimmunity,Lund University Research Groups
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- Schmidt-Christensen, Anja (författare)
- Lund University,Lunds universitet,Autoimmunitet,Forskargrupper vid Lunds universitet,Autoimmunity,Lund University Research Groups
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(creator_code:org_t)
- 2020-06-11
- 2020
- Engelska.
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Ingår i: Journal of visualized experiments : JoVE. - : MyJove Corporation. - 1940-087X. ; :160
- Relaterad länk:
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http://dx.doi.org/10...
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https://lup.lub.lu.s...
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https://doi.org/10.3...
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Abstract
Ämnesord
Stäng
- Imaging beta cells is a key step towards understanding islet transplantation. Although different imaging platforms for the recording of beta cell biology have been developed and utilized in vivo, they are limited in terms of allowing single cell resolution and continuous longitudinal recordings. Because of the transparency of the cornea, the anterior chamber of the eye (ACE) in mice is well suited to study human and mouse pancreatic islet cell biology. Here is a description of how this approach can be used to perform continuous longitudinal recordings of grafting and revascularization of individual human islet grafts. Human islet grafts are inserted into the ACE, using NOD.(Cg)-Gt(ROSA)26Sortm4-Rag2-/-mice as recipients. This allows for the investigation of the expansion of recipient versus donor cells and the contribution of recipient cells in promoting the encapsulation and vascularization of the graft. Further, a step-by-step approach for image analysis and quantification of the islet volume or segmented vasculature and islet capsule forming recipient cells is outlined.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Image Processing (hsv//eng)
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- ref (ämneskategori)
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