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Proceedings Paper

Development And Application Of The "Dynamic Morphology System" For The Analysis Of Moving Amebae
Author(s): David R. Soil; Edward Voss; Deborah Wessels
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Paper Abstract

In the field of cell motility, computer assisted studies have become a necessity both for scientists studying bacteria and scientists studying more complex cells (1). However, the needs of the scientist differ depending upon the organism being studied. For instance, most bacteria and ciliated or flagellated protozoans do not change shape when moving or when making decisions on directionality in chemical gradients. Therefore, in these cases, systems which track the centroid of the cell are sufficient for most studies. In marked contrast, most animal cells ranging in complexity from slime mold amebae to human white blood cells are ameboid and change shape both when locomoting and when making decisions about directionality. For these latter cells, simply tracking the translocation of the centroid can be misleading, as will become evident in the discussion which follows. To assist in the analysis of ameboid cell motility, we developed a software package for the motion analysis machines (The Expert Vision System and the Cell Track System) marketed by Motion Analysis Corporation of Santa Rosa, California. This system is referred to as the "Dynamic Morphology System" and is tailored for use by cell biologists interested in two dimensional studies of the temporal dynamics of cell shape, cell extensions (pseudopods) and cell contractions (1,2,3,4,). It is also unusually well suited for assessing the effects of mutation (1) on cell behavior and chemotaxis (the directed movement of cells in chemical gradients) and for comparing normal and cancer cells. In the discussion which follows, I will describe some of the capabilities of the system and its application to the problem of cell movement and ameboid behavior in chemical gradients. I will also briefly describe the development of a 3D Dynamic Morphology System and a system for acoustically analysing complex data generated by the Dynamic Morphology System.

Paper Details

Date Published: 4 February 1988
PDF: 10 pages
Proc. SPIE 0832, High Speed Photography, Videography, and Photonics V, (4 February 1988); doi: 10.1117/12.942203
Show Author Affiliations
David R. Soil, University of Iowa (United States)
Edward Voss, University of Iowa (United States)
Deborah Wessels, University of Iowa (United States)

Published in SPIE Proceedings Vol. 0832:
High Speed Photography, Videography, and Photonics V
Howard C. Johnson, Editor(s)

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