Supervised Classification of Etoposide-treated in Vitro Adherent Cells Based on Noninvasive Imaging Morphology

Authors: A. Mölder et al.

Journal: Journal of Medical Imaging (2017)

Institution: Malmö University

Research Areas: Image-based analysis, cell classification

Cell Lines: DU-145 (Prostate cancer cells)

Summary: The morphological changes observed occur before and at lower concentrations than a reduction in cell metabolic activity or viability. Three classifiers are compared and we report a best case sensitivity of 88% and specificity of 94% for classification of cells as treated/untreated.

Keywords: HoloMonitor M4, cell morphology, Image segmentation Image analysis In vitro testing, Digital holography Image classification, Microscopy, Biological research, Digital imaging, Holography, In vivo imaging

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