29 February 2008 Automated tissue m-FISH analysis workstation for identification of clonally related cells
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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.
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Piotr Dubrowski, Piotr Dubrowski, Wan Lam, Wan Lam, Victor Ling, Victor Ling, Stephen Lam, Stephen Lam, Calum MacAulay, 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); doi: 10.1117/12.763519; https://doi.org/10.1117/12.763519
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