移植和铸造中定制组织阵列的技术错误检测和结构优化

Miha Munda
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摘要

目的:本研究的目的是找出组织阵列生产中最常见的典型缺陷在最关键阶段的原因,并优化在不同输入参数和不同最终要求下定制组织阵列的方案。通过这种方式,我们可以避免难以修复的组织阵列,在这种情况下,由于重新分配,可能会发生重大损失,包括由于机械和热效应导致的样品破坏。方法:包括720个组织阵列块,一些用于客户,另一些用于实验和方案改进。使用了人类和动物组织。我们在不同的实验室物理条件下测试和评估了这种设计的组织阵列的构型、结构稳定性、一致性、稳定性和实际可用性。结果:发现并分析了移植和铸型阶段组织学实验室组织阵列制作中的12个错误。对于每一个检查过的错误,我们都找到了原因,给出了预防的建议,并提供了如何消除或预防这些原因的说明。结论:问题的解决方案在技术上是可行的,但需要对实验室程序、时间和学习进行个人调整。这对于自动化实验室来说更加困难,甚至不可能,正如在描述的手工组织阵列中。然而,所有实验室都需要以最高的质量和精度生产,这只有通过定期解决问题才能实现。本研究结果将有助于优化定制组织阵列工艺。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of Technical Errors and Construction Optimization for Custom Tissue Arrays at Transplanting and Casting
Purpose: The purpose of this research is to identify causes for the most common typical defects in the production of tissue arrays at the most crucial stages, and to optimize protocols for custom-made tissue arrays at variable input parameters and different final requirements. In this way, we can avoid difficult repairs of tissue arrays, at which, because of re-allocation, major losses can occur, including destruction of the sample due to mechanical and thermal effects. Methods: Seven hundred and twenty tissue array blocks were included, some for clients and others for experimentation and protocol refinement. Human and animal tissue were used. We tested and evaluated configurations, structural stability, consistency, stability, and practical usability of such designed tissue arrays under different laboratory physical conditions. Results: We recognized and analyzed 12 mistakes in the production of tissue arrays in the histology laboratory during the stages of transplantation and casting. At each examined error we found the causes, gave suggestions for prevention, and provided instructions on how to eliminate or prevent those causes. Conclusion: Problems have solutions that are technically feasible but they require individual adjustments of laboratory procedures, time, and learning. This is more difficult or even impossible for automated laboratories, as in the described handmade tissue arrays. However, all laboratories need to produce with maximum quality and precision, which is possible only with addressing problems regularly. The results of this study will contribute to the optimization of custom made tissue array processes.
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