Previous research has shown that that the size (diameter) of LDL particles can have an effect on cardiovascular health
and that LDL macromolecules may be non-spherical in shape. Some of these studies, however, used methods that are not
conducive to automatic determination of the shape and size parameters of the particles. In particular, these prior methods
used either centrifugal separations leading to mass/volume ratios or manual determination of parameters from scanned
micrographs. This paper describes the investigation of methods of efficiently determining the geometric shape and size
of LDL macromolecules from scanned micrographs. Variants of direct correlation of computer-generated geometric
models to the orthonormal projection CTEM micrographs were investigated to determine applicability of determining
pertinent geometric parameters of the expected discoid shape of the LDL. Analysis software was developed to analyze
artificially generated discoid objects to determine the limits of the method. The results of this research show that the
described method can be used to determine the shape and size of LDL particles to within a few pixels in both radius and
height of the purported discoid shapes. By allowing for efficient generation of a histogram of LDL parameters in samples
of blood, it is hoped that the pertinent parameters can then be correlated to observed cardiovascular state in order to
assist in the determination of pertinent relationships between LDL geometry and overall cardiovascular health.
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