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Proceedings Paper

Software framework for scanning cytometry
Author(s): Edward Hunter; Scott Callaway; Jeffrey H. Price
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Paper Abstract

This paper introduces a new object-oriented software framework suitable for scanning image cytometry application development. The goal of scanning image cytometry is the development of an instrument that locates and measures every cell on a microscope slide at high speed without requiring operator interaction. This capability extends traditional quantitative techniques, such as flow cytometry, through the availability of image data that can provide similar intensity measurement as well as detailed image morphometry and population geometry. Domain concepts are identified, abstracted and categorized into three thematic families: (1) physical cytometer hardware components, (2) image and image- derived measurement data, and (3) runtime dynamic and extendible image processing components. Additional abstractions are provided for the image table, an embedded database for disk archival and general access to metaimage areas-of-interest, and for the cytometer, which manages physical hardware abstractions and organizes their collaboration into high-level scanning operations. Detailed examples of framework mechanisms are given to illustrate use.

Paper Details

Date Published: 27 April 2000
PDF: 12 pages
Proc. SPIE 3921, Optical Diagnostics of Living Cells III, (27 April 2000); doi: 10.1117/12.384232
Show Author Affiliations
Edward Hunter, Q3DM, Inc. and Univ. of California/San Diego (United States)
Scott Callaway, Q3DM, Inc. (United States)
Jeffrey H. Price, Q3DM, Inc. and Univ. of California/San Diego (United States)


Published in SPIE Proceedings Vol. 3921:
Optical Diagnostics of Living Cells III
Daniel L. Farkas; Daniel L. Farkas; Robert C. Leif, Editor(s)

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