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

  • Carlos Ortiz-De-Solorzano
  • , Thomas Pengo
  • , Miguel Galarraga
  • , Arrate Muñoz-Barrutia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2008 5th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, Proceedings, ISBI
Pages312-315
Number of pages4
DOIs
StatePublished - 2008
Externally publishedYes
Event2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI - Paris, France
Duration: May 14 2008May 17 2008

Publication series

Name2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI

Other

Other2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI
Country/TerritoryFrance
CityParis
Period5/14/085/17/08

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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