Quality Assurance System Using Statistical Process Control: An Implementation for Image Cytometry | Zendy

David Chiu | Zendy; Martial Guillaud | Zendy; Dennis D. Cox | Zendy; Michele Follen | Zendy; Calum MacAulay | Zendy

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Quality Assurance System Using Statistical Process Control: An Implementation for Image Cytometry

Author(s) -

David Chiu,

Martial Guillaud,

Dennis D. Cox,

Michele Follen,

Calum MacAulay

Publication year - 2004

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 - 10.1155/2004/794021

Subject(s) - quality assurance , computer science , calibration , comparability , statistical process control , medical physics , process (computing) , statistics , medicine , mathematics , pathology , external quality assessment , combinatorics , operating system

Optical technologies have shown some promise for improving the care of cervical neoplasia. We are currently evaluating fluorescence and reflectance spectroscopy and quantitative cyto-histopathology for cervical neoplasia screening and diagnosis. Here we describe the establishment and application of a quality assurance (QA) system for detecting system malfunctions and assessing the comparability of four image cytometers used in a multicenter clinical trial.

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