SPECTRAL MATCHING OF CLASSICAL CYTOCHEMISTRY TO AUTOMATED CYTOLOGY | Zendy

L. S. Ornstein | Zendy; Hudson R. Ansley | Zendy

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SPECTRAL MATCHING OF CLASSICAL CYTOCHEMISTRY TO AUTOMATED CYTOLOGY

Author(s) -

L. S. Ornstein,

Hudson R. Ansley

Publication year - 1974

Publication title -

journal of histochemistry and cytochemistry

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.971

H-Index - 124

eISSN - 1551-5044

pISSN - 0022-1554

DOI - 10.1177/22.7.453

Subject(s) - cytochemistry , matching (statistics) , computer science , spectral analysis , software , cytology , pattern recognition (psychology) , artificial intelligence , pathology , medicine , physics , programming language , quantum mechanics , ultrastructure , spectroscopy

Aspects of the history of automated cytology and a brief comparison of present and anticipated future levels of performance of flow-through and pattern recognition technologies for white blood cell recognition and counting are briefly presented. The relationship of the spectral properties of cytochemical preparations to machine performance are discussed. Some advantages of matching the spectral properties to hardware and software capabilities are illustrated. Some kinds of difficulties in achieving such a match are reviewed and examples of present levels of achievement are illustrated.

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