Automated tissue m-FISH analysis workstation for identification of clonally related cells

Piotr Dubrowski; Wan Lam; Victor Ling; Stephen Lam; Calum MacAulay

doi:10.1117/12.763519

29 February 2008 Automated tissue m-FISH analysis workstation for identification of clonally related cells

Piotr Dubrowski, Wan Lam, Victor Ling, Stephen Lam, Calum MacAulay

Proceedings Volume 6859, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues VI; 68591T (2008) https://doi.org/10.1117/12.763519
Event: SPIE BiOS, 2008, San Jose, California, United States

Abstract

We have developed an automated multicolour high-throughput multi-colour Fluorescence in-situ Hybridization (FISH) scanning system for examining Non-Small Cell Lung Cancer (NSCLC) 5-10μm thick tissue specimens and analyzing their FISH spot signals at the individual cell level and then as clonal populations using cell-cell architecture (spatial distributions). Using FISH probes targeting genomic areas deemed significant to chemotherapy resistance, we aim to identify clonal subpopulations of cells in tissue samples likely to be resistant to cis-platinum/vinorelbine chemotherapy. The scanning system consists of automatic image acquisition, cell nuclei segmentation, spot counting and measuring the spatial distribution and connectivity of cells with specific genetic profiles across the entire section using architectural tools to provide the scoring system.

Citation Download Citation

Piotr Dubrowski, Wan Lam, Victor Ling, Stephen Lam, and Calum MacAulay "Automated tissue m-FISH analysis workstation for identification of clonally related cells", Proc. SPIE 6859, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues VI, 68591T (29 February 2008); https://doi.org/10.1117/12.763519

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