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Proceedings Paper

Nuclear recognition in images of fluorescent-stained cell monolayers
Author(s): Jeffrey H. Price; David A. Gough
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Paper Abstract

A method for reliable recognition of fluorescent stained cell monolayers has been developed. This method utilizes convolution filtering and object intensity dependent thresholding to achieve accurate recognition. These operations are performed rapidly by dedicated image processing hardware. Details of the transfer of image information into efficient representation in computer memory are presented. These methods are utilized in conjunction with a computer-controlled microscope stage to scan the specimen field-by-field. An example of the measurements possible with this system is provided by presentation of a DNA content histogram from analysis of over 50 Because this system is capable of analyzing attached cells it offers an alternative to flow cytomeiry which requires that cells be in suspension.

Paper Details

Date Published: 1 November 1990
PDF: 7 pages
Proc. SPIE 1349, Applications of Digital Image Processing XIII, (1 November 1990); doi: 10.1117/12.23541
Show Author Affiliations
Jeffrey H. Price, Univ. of California/San Diego (United States)
David A. Gough, Univ. of California/San Diego (United States)


Published in SPIE Proceedings Vol. 1349:
Applications of Digital Image Processing XIII
Andrew G. Tescher, Editor(s)

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