Method and system for automated image analysis in cancer cells

  • US 9,080,203 B2
  • Filed: 09/03/2014
  • Issued: 07/14/2015
  • Est. Priority Date: 07/21/2009
  • Status: Active Grant
First Claim
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1. An automated method for detecting chromosomal abnormalities in a plurality of cells in a cervical sample, said method comprising:

  • a) hybridizing nucleic acid probes to a target, wherein the target comprises EVII or MDS1;

    b) detecting the hybridization signal of the nucleic acid probes, wherein the hybridization signal is indicative of chromosomal copy number for the target;

    c) scoring the chromosomal copy number of the target ; and

    d) reporting whether the sample contains chromosomal abnormalities wherein the sample is determined to be negative or have normal ploidy when a gain of chromosomal copy number is in less than 0.9% of the cells.

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