| Cytology by Infrared Micro-Spectroscopy: Automatic Distinction of Cell Types in Urinary Cytology. | |
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MedLine Citation:
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PMID: 19768107 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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We report microscopically collected infrared spectra of cells found in human urine in an effort to develop automatic methods for bladder cancer screening. Unsupervised multivariate analysis of the observed spectral patterns reveals distinct spectral classes, which correlated very well with visual cytology. Therefore, we believe that spectral analysis of individual cells can aid cytology in rendering reliable diagnoses based on objective measurements and discriminant algorithms. |
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Authors:
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Benjamin Bird; Melissa J Romeo; Max Diem; Kristi Bedrossian; Nora Laver; Stephen Naber |
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Publication Detail:
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Type: JOURNAL ARTICLE |
Journal Detail:
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Title: Vibrational Spectroscopy Volume: 48 ISSN: - ISO Abbreviation: Vib Spectrosc Publication Date: 2008 Sep |
Date Detail:
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Created Date: 2009-9-21 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9885803 Medline TA: Vib Spectrosc Country: - |
Other Details:
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Languages: ENG Pagination: 101-106 Citation Subset: - |
Affiliation:
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Department of Chemistry and Chemical Biology, Northeastern University, Hurtig Hall, Boston, MA 02115. |
Export Citation:
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Descriptor/Qualifier:
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| Grant Support | |
ID/Acronym/Agency:
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R01 CA090346-05A1//NCI NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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