The HEp-2 cell as target for multiparametric autoantibody analyses: automation and standardisation
The HEp-2 cell as target for multiparametric autoantibody analyses: automation and standardisation
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DOI：
10.1515/jlm.2011.053
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发表时间：
2011-01-01
影响因子：
--
通讯作者：
Conrad, Karsten
中科院分区：
文献类型：
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作者：
Hiemann, Rico;Roggenbuck, Dirk;Conrad, Karsten
尽管引入了多重技术，通过间接免疫荧光（BF）分析自身抗体（AAB）仍然是诊断自身免疫性疾病的标志。在常规诊断中通过IIF对HEp-2细胞筛选非器官特异性AAB。然而，IIF结果因目标而异（例如，细胞固定）和主观因素（例如，专业知识）。因此，实验室间和实验室内的差异相对较高。IIF对AAB检测的标准化仍然是常规实验室内部和之间的一个关键问题，可以通过自动判读系统加以改进。一种新的自动化阅读系统提供HEp-2细胞上荧光图像的全自动化阅读和用于AAB染色模式的数学描述的软件算法。它可用于在关于系统性自身免疫性和自身免疫性肝病的常规诊断中对非器官特异性AAB进行筛选和预分类。更复杂的模式识别算法和新的校准系统将提高IIF图像解释的标准化量化。
Analysis of autoantibodies (AABs) by indirect immunofluorescence (BF) remains the hallmark of diagnosing autoimmune diseases despite the introduction of multiplex techniques. Non-organ specific AABs are screened in routine diagnostics by IIF on HEp-2 cells. However, IIF results vary due to objective (e.g., cell fixation) and subjective factors (e.g., expert knowledge). Therefore, inter- and intralaboratory variance is relatively high. Standardisation of AAB testing by IIF remains a crucial issue in and between routine laboratories and may be improved by automated interpretation systems. A novel automated reading system provides fully automated reading of fluorescence images on HEp-2 cells and software algorithms for the mathematical description of AAB staining patterns. It can be used for screening and preclassification of non-organ specific AABs in routine diagnostics regarding systemic autoimmune and autoimmune liver diseases. More sophisticated pattern recognition algorithms and novel calibration systems will improve standardised quantifications of IIF image interpretation.