Department of Medicine III, Technische Universität Dresden, Dresden, Germany.
Islets. 2011 Sep-Oct;3(5):267-70. doi: 10.4161/isl.3.5.15939. Epub 2011 Sep 1.
The size composition of human islet preparations has been attributed to functional potency, islet survival and transplantation outcomes. In the early post-transplantation phase islets are supplied with oxygen by diffusion only and are at risk of critical hypoxia. The high rate of early islet graft dysfunction is in part attributed to this condition. It has been presumed that islets with smaller diameter, and therefore smaller diffusion distance, are superior to large islets regarding early survival rate and graft function. In this study we aimed to evaluate Complex Object Parametric Analysis and Sorting (COPAS) as a device for automated sorting of human islets. The use of COPAS was validated for accuracy and sensitivity using polystyrene beads of known diameters. Based on time of flight relative to particle isolated islets were then automatically sorted and analyzed for viability and function using handpicked islets as control. Our results suggest that COPAS enables the automated and accurate sorting of islets with no negative impact on their integrity and viability. Thus, COPAS is an adequate tool for size-specific analysis of pancreatic islets and may be considered as part of a platform for automated high-throughput screening of pancreatic islets.
胰岛制剂的大小组成归因于其功能效力、胰岛存活和移植结果。在移植后的早期阶段，胰岛仅通过扩散获得氧气，并且存在缺氧的风险。早期胰岛移植物功能障碍的高发生率部分归因于此情况。人们认为，直径较小的胰岛（因此扩散距离较小）在早期存活率和移植物功能方面优于大胰岛。在这项研究中，我们旨在评估复杂对象参数分析和分选（COPAS）作为一种自动分选人类胰岛的设备。使用已知直径的聚苯乙烯珠验证了 COPAS 的准确性和灵敏度。基于飞行时间，相对于分离的胰岛颗粒，然后自动分选，并使用手动挑选的胰岛作为对照分析其活力和功能。我们的结果表明，COPAS 能够实现胰岛的自动和精确分选，而不会对其完整性和活力产生负面影响。因此，COPAS 是胰岛大小特异性分析的合适工具，可被视为自动化高通量胰岛筛选平台的一部分。
