Open Access
1 November 2010 Nanoscale nuclear architecture for cancer diagnosis beyond pathology via spatial-domain low-coherence quantitative phase microscopy
Pin Wang, Rajan K. Bista, Walid E. Khalbuss, Wei Qiu, Shikhar Uttam, Kevin D. Staton, Lin Zhang, Teresa A. Brentnall, Randall E. Brand M.D., Yang Liu
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Abstract
Definitive diagnosis of malignancy is often challenging due to limited availability of human cell or tissue samples and morphological similarity with certain benign conditions. Our recently developed novel technology-spatial-domain low-coherence quantitative phase microscopy (SL-QPM)-overcomes the technical difficulties and enables us to obtain quantitative information about cell nuclear architectural characteristics with nanoscale sensitivity. We explore its ability to improve the identification of malignancy, especially in cytopathologically non-cancerous-appearing cells. We perform proof-of-concept experiments with an animal model of colorectal carcinogenesis-APCMin mouse model and human cytology specimens of colorectal cancer. We show the ability of insitu nanoscale nuclear architectural characteristics in identifying cancerous cells, especially in those labeled as "indeterminate or normal" by expert cytopathologists. Our approach is based on the quantitative analysis of the cell nucleus on the original cytology slides without additional processing, which can be readily applied in a conventional clinical setting. Our simple and practical optical microscopy technique may lead to the development of novel methods for early detection of cancer.
©(2010) Society of Photo-Optical Instrumentation Engineers (SPIE)
Pin Wang, Rajan K. Bista, Walid E. Khalbuss, Wei Qiu, Shikhar Uttam, Kevin D. Staton, Lin Zhang, Teresa A. Brentnall, Randall E. Brand M.D., and Yang Liu "Nanoscale nuclear architecture for cancer diagnosis beyond pathology via spatial-domain low-coherence quantitative phase microscopy," Journal of Biomedical Optics 15(6), 066028 (1 November 2010). https://doi.org/10.1117/1.3523618
Published: 1 November 2010
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Cited by 47 scholarly publications and 8 patents.
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