Literature DB >> 3474331

Quantitative microscopy: I. A computer-assisted approach to the study of polymorphonuclear leukocyte (PMN) chemotaxis.

A T Cheung, R M Donovan, M E Miller, A J Bettendorff, E Goldstein.   

Abstract

A computer-assisted approach has been designed to analyze and quantitate polymorphonuclear leukocyte (PMN) chemotaxis. This approach involves a rapid, objective, and semiautomated (user-directed) image-analysis system that is video- and microscope-based. The entire system consists of a microvideo set-up that is put on line with a Digital DEC-LSI-11/73 microcomputer, interfaced with a Datacube analog-digital/digital-analog converter. Video signals of PMN movement are digitized by the system at a resolution of 240 pixels vertically by 320 pixels horizontally (at 256 gray levels) and stored in a 76,800-byte frame buffer. The digitized data are stored for later use or utilized immediately for image segmentation, image display, movement, and morphometric computations for each PMN in a maximum phase field (at 645 X high dry) of 50 PMNs at 10-second intervals. The digitized data are used for computation of cell perimeter, surface area, optical density, contour-ratio, position, speed, and direction of locomotion with the utilization of micro-image-analysis programs written in FORTRAN and MACRO assembly language, with the computer operating under RT-11/TSX+. The reliability, objectivity, and reproducibility of measurements made with this quantitative approach have been tested by comparing with manual-tracing measurements of PMN movement. A correlation factor of 0.99 has been obtained. However, the quantitative-microscopic approach is much faster, more objective, less tedious, and much easier to operate than the conventional manual-tracing method.

Mesh:

Year:  1987        PMID: 3474331     DOI: 10.1002/jlb.41.6.481

Source DB:  PubMed          Journal:  J Leukoc Biol        ISSN: 0741-5400            Impact factor:   4.962


  1 in total

1.  Automated identification of axonal growth cones in time-lapse image sequences.

Authors:  Thomas M Keenan; Andrew Hooker; Mary E Spilker; Nianzhen Li; Gregory J Boggy; Paolo Vicini; Albert Folch
Journal:  J Neurosci Methods       Date:  2005-09-19       Impact factor: 2.390

  1 in total

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