Correlation of Grade of Urothelial Cell Carcinomas and DNA Histogram Features Assessed by Flow Cytometry and Automated Image Cytometry | Zendy

Marco G. W. Bol | Zendy; Jan P. A. Baak | Zendy; Bianca van Diermen | Zendy; Emiel A. M. Janssen | Zendy; Susanne B. K. Buhr-Wildhagen | Zendy; KjellHenning Kjellevold | Zendy

Open Access

Correlation of Grade of Urothelial Cell Carcinomas and DNA Histogram Features Assessed by Flow Cytometry and Automated Image Cytometry

Author(s) -

Marco G. W. Bol,

Jan P. A. Baak,

Bianca van Diermen,

Emiel A. M. Janssen,

Susanne B. K. Buhr-Wildhagen,

KjellHenning Kjellevold

Publication year - 2003

Publication title -

analytical cellular pathology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.576

H-Index - 24

eISSN - 2210-7185

pISSN - 2210-7177

DOI - 10.1155/2003/410239

Subject(s) - flow cytometry , cytometry , histogram , correlation , dna , biology , microbiology and biotechnology , artificial intelligence , image (mathematics) , computer science , mathematics , genetics , geometry

To analyse how DNA ploidy and S-phase fraction (SPF) by flow cytometry (FCM) and an optimised fully automatic DNA image cytometer (ICM) correlate with grade in TaT1 urothelial cell carcinomas (UC) of the urinary bladder.

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