Date of Award

Fall 1994

Document Type

Thesis

Degree Name

Master of Science in Biomedical Engineering - (M.S.)

Department

Biomedical Engineering Committee

First Advisor

Arthur B. Ritter

Second Advisor

Andrew Ulrich Meyer

Third Advisor

David S. Kristol

Abstract

The objective of this research was to geometrically analyze the characteristics of cells, specifically area and perimeter. The images were transferred from HP A900 system to an AVS work station. The images were visualized and manipulated by the AVS which permits the distinction between the cell body, fluorescent object, and background. The intrinsic geometry of the cell was determined by using image processing algorithms written in C. The images were then passed through a threshold filter, thereby yielding a black background and a white cell body. The perimeter calculation was then applied to the black and white images. Two test images were constructed to calibrate the software, both area and perimeter test results were satisfactory. A data set of 20 images of cells were analyzed for area and perimeter computation. The variation of the areas of the cells was 41% due to the variation of the areas of the fluorescent objects (correlation coefficient equal to 0.641126). The null hypothesis of no correlation was tested using statistical analysis and proved that the correlation was not by chance.

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