C. Ortíz-de-Solórzano, T. Pengo, Miguel Galarraga, A. Muñoz-Barrutia
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Automation of the detection of lung cancer cells in minimal samples of bronchioalveolar lavage
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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