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Journal of Biomedical Optics

Comparison study of distinguishing cancerous and normal prostate epithelial cells by confocal and polarization diffraction imaging
Author(s): Wenhuan Jiang; Jun Qing Lu; Li V. Yang; Yu Sa; Yuanming Feng; Junhua Ding; Xin-Hua Hu
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Paper Abstract

Accurate classification of malignant cells from benign ones can significantly enhance cancer diagnosis and prognosis by detection of circulating tumor cells (CTCs). We have investigated two approaches of quantitative morphology and polarization diffraction imaging on two prostate cell types to evaluate their feasibility as single-cell assay methods toward CTC detection after cell enrichment. The two cell types have been measured by a confocal imaging method to obtain their three-dimensional morphology parameters and by a polarization diffraction imaging flow cytometry (p-DIFC) method to obtain image texture parameters. The support vector machine algorithm was applied to examine the accuracy of cell classification with the morphology and diffraction image parameters. Despite larger mean values of cell and nuclear sizes of the cancerous prostate cells than the normal ones, it has been shown that the morphologic parameters cannot serve as effective classifiers. In contrast, accurate classification of the two prostate cell types can be achieved with high classification accuracies on measured data acquired separately in three measurements. These results provide strong evidence that the p-DIFC method has the potential to yield morphology-related “fingerprints” for accurate and label-free classification of the two prostate cell types.

Paper Details

Date Published: 30 November 2015
PDF: 10 pages
J. Biomed. Opt. 21(7) 071102 doi: 10.1117/1.JBO.21.7.071102
Published in: Journal of Biomedical Optics Volume 21, Issue 7
Show Author Affiliations
Wenhuan Jiang, East Carolina Univ. (United States)
Jun Qing Lu, East Carolina Univ. (United States)
Li V. Yang, East Carolina Univ. (United States)
Yu Sa, Tianjin Univ. (China)
Yuanming Feng, Tianjin Univ. (China)
Junhua Ding, East Carolina Univ. (United States)
Xin-Hua Hu, East Carolina Univ. (United States)

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