Automation of the detection of lung cancer cells in minimal samples of bronchioalveolar lavage

C. Ortíz-de-Solórzano, T. Pengo, Miguel Galarraga, A. Muñoz-Barrutia
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引用次数: 1

Abstract

We present the hardware and software specification of a quantitative, multidimensional and multispectral microscopy system designed for the detection of lung cancer using minimal samples of bronchoalveolar lavage (BAL). BAL samples were stained using FICTION: Fluorescence Immunophenotyping and Interphase Cytogenetics as a Tool for the Investigation of Neoplasms. Our system allows preliminary immunophenotypic detection of rare cancerous candidate cells, followed by accurate three-dimensional analysis of genomic integrity, to confirm or refute the initial assessment. Our results show that our automated analysis can accurately assist a human expert in the diagnostic evaluation of BAL samples.
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支气管肺泡灌洗微量标本中肺癌细胞检测的自动化
我们提出了一种定量、多维和多光谱显微镜系统的硬件和软件规范,该系统设计用于使用支气管肺泡灌洗(BAL)的最小样本检测肺癌。BAL样品采用荧光免疫表型和间期细胞遗传学作为肿瘤研究的工具进行染色。我们的系统允许对罕见的候选癌细胞进行初步的免疫表型检测,然后对基因组完整性进行精确的三维分析,以证实或反驳最初的评估。我们的结果表明,我们的自动化分析可以准确地协助人类专家对BAL样本进行诊断评估。
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