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filingDate 2003-01-21-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2013-11-05-04:00^^<http://www.w3.org/2001/XMLSchema#date>
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publicationDate 2013-11-05-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CA-2473678-C
titleOfInvention Automatically detecting cells having nuclear and cytoplasmic densitometric features associated with disease by optical imaging
abstract A system and method for rapidly detecting cells (1) of interest using multi-dimensional, highly quantitative, nuclear and cytoplasmic densitometric features (NDFs and CDFs) includes a flow optical tomography (FOT) instrument capable of generating various optical projection images (or shadowgrams) containing accurate density information from a cell, a computer (40) and software to analyze and reconstruct the projection images into a multi-dimensional data set, and automated feature collection and object classifiers. The system and method are particularly useful in the early detection of cancers such as lung cancer using a bronchial specimen from sputum or cheek scrapings and cervical/ovarian cancer using a cervical scraping, and the system can be used to detect rare cells in specimens including blood.
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