Thomas E. Dufresne

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Automated three-dimensional (3-D) image analysis methods are presented for rapid and effective analysis of populations of fluorescently labeled cells or nuclei in thick tissue sections that have been imaged three dimensionally using a confocal microscope. The methods presented here greatly improve upon our earlier work (Roysam et al.:J Microsc 173: 115-126,(More)
Biomedical image analysis has always been difficult due to the non-homogeneity of biological samples. Overly specific algorithms can often only be applied to one special case and high computational requirements for more complex methods also mean that large image stacks cannot be processed efficiently. We have designed a statistical method to count the(More)
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