Paper
27 April 2000 Software framework for scanning cytometry
Edward Hunter, Scott Callaway III, Jeffrey H. Price M.D.
Author Affiliations +
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Edward Hunter, Scott Callaway III, and Jeffrey H. Price M.D. "Software framework for scanning cytometry", Proc. SPIE 3921, Optical Diagnostics of Living Cells III, (27 April 2000); https://doi.org/10.1117/12.384232
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Image processing

Luminescence

Software frameworks

Databases

Software development

Algorithm development

Data archive systems

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