4 March 2014 Cytometric analysis of retinopathies in retinal trypsin digests
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The objective of this work was to design an automated image cytometry tool for determination of various retinal vascular parameters including extraction of features that are relevant to postnatal retinal vascular development, and the progression of diabetic retinopathy. To confirm the utility and accuracy of the software, retinal trypsin digest from TSP1-/- and diabetic Akita/+; TSP1-/- mice were analyzed. TSP1 is a critical inhibitor of development of retinopathies and lack of TSP1 exacerbates progression of early diabetic retinopathies. Loss of vascular cells of and gain more acellular capillaries as two major signs of diabetic retinopathies were used to classify a retina as normal or injured. This software allows quantification and high throughput assessment of retinopathy changes associated with diabetes.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zahra Ghanian, Zahra Ghanian, Kevin Staniszewski, Kevin Staniszewski, Christine M. Sorenson, Christine M. Sorenson, Nader Sheibani, Nader Sheibani, Mahsa Ranji, Mahsa Ranji, "Cytometric analysis of retinopathies in retinal trypsin digests", Proc. SPIE 8947, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XII, 89471Y (4 March 2014); doi: 10.1117/12.2036852; https://doi.org/10.1117/12.2036852

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