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

Author

Ortiz-de-Solorzano, Carlos ; Pengo, Thomas ; Galarraga, Miguel ; Barrutia, Arrate Munoz

Author_Institution

Center for Appl. Med. Res., Univ. of Navarra, Pamplona

fYear

2008

fDate

14-17 May 2008

Firstpage

312

Lastpage

315

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.

Keywords

cancer; lung; medical diagnostic computing; microscopy; patient diagnosis; FICTION method; bronchioalveolar lavage; detection automation; diagnostic evaluation; immunophenotypic detection; lung cancer cells; microscopy system; Automation; Cancer detection; Fluorescence; Genomics; Hardware; Immune system; Lungs; Microscopy; Multidimensional systems; Neoplasms;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on

Conference_Location

Paris

Print_ISBN

978-1-4244-2002-5

Electronic_ISBN

978-1-4244-2003-2

Type

conf

DOI

10.1109/ISBI.2008.4540995

Filename

4540995