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Longitudinal three-dimensional visualisation of autoimmune diabetes by functional optical coherence imaging
Corinne Berclaz1, Anja Schmidt-Christensen2, Daniel Szlag1,3
1Laboratoire d'Optique Biomédicale, Ecole Polytechnique Fédérale de Lausanne, CH1015, Lausanne, Switzerland.
Diabetologia
|November 29, 2015
Summary
Functional optical coherence imaging (FOCI) enables label-free monitoring of beta cell destruction and vascular changes in type 1 diabetes research. This technique offers new insights into islet alterations and potential drug efficacy monitoring.
Area of Science:
- Biomedical Imaging
- Diabetes Research
- Islet Biology
Background:
- Quantitative imaging of pancreatic islets is crucial for understanding type 1 diabetes pathogenesis.
- Current methods may lack the speed or specificity for dynamic monitoring of islet structure and function.
Purpose of the Study:
- To introduce functional optical coherence imaging (FOCI) for rapid, label-free monitoring of beta cell destruction and islet vascularization.
- To enable quantitative, longitudinal assessment of islet alterations in diabetes models.
Main Methods:
- FOCI was used to image mouse and human islets transplanted into the anterior chamber of the eye (ACE).
- The technique leverages intrinsic refractive index variations for fast tomographic acquisition and phase sensitivity for label-free vascular imaging.
Main Results:
- FOCI enabled longitudinal quantification of insulitis, beta cell volume, and vascularization in 3D.
- High specificity for functional beta cell volume was achieved due to backscattering from insulin-zinc nanocrystals.
- A strong correlation was observed between insulitis progression and islet vascular network density in a mouse model.
Conclusions:
- FOCI is a novel imaging technique for studying diabetes-induced islet alterations.
- It allows label-free detection of beta cell volume, infiltration, and vascularization, valuable for ACE-transplanted human islets.
- This method aids in understanding islet transplant rejection and in vivo drug efficacy monitoring.
Keywords:
3D visualisationBeta cell volumeHuman isletsInflammationLabel-freeLongitudinalNOD mouseNon-invasiveOCMQuantificationVasculature
