C. J. Ehrhardt

Differentiation of vaginal cells from epidermal cells using morphological and autofluorescence properties: Implications for sexual assault casework involving digital penetration

This paper develops a biological signature system using morphological and autofluorescence properties to classify cells from digital penetration samples versus epidermal cells, showing higher vaginal tissue classification in penetration samples.

Open source software tool for the automated detection and characterization of epithelial cells from trace biological samples

The paper introduces an open-source tool for automated detection and characterization of epithelial cells in microscopic images, improving throughput and reproducibility.

Rapid Identification of Epithelial Cell Types in Forensic Samples Using Intrinsic Fluorescence and Morphological Signatures

This study uses Imaging Flow Cytometry to differentiate epithelial cell types from forensic samples based on morphology and fluorescence, achieving ~94% classification accuracy.