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Erschienen in: Medical & Biological Engineering & Computing 5/2017

22.07.2016 | Original Article

Microfluidic microscopy-assisted label-free approach for cancer screening: automated microfluidic cytology for cancer screening

verfasst von: Veerendra Kalyan Jagannadh, G. Gopakumar, Gorthi R. K. Sai Subrahmanyam, Sai Siva Gorthi

Erschienen in: Medical & Biological Engineering & Computing | Ausgabe 5/2017

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Abstract

Each year, about 7–8 million deaths occur due to cancer around the world. More than half of the cancer-related deaths occur in the less-developed parts of the world. Cancer mortality rate can be reduced with early detection and subsequent treatment of the disease. In this paper, we introduce a microfluidic microscopy-based cost-effective and label-free approach for identification of cancerous cells. We outline a diagnostic framework for the same and detail an instrumentation layout. We have employed classical computer vision techniques such as 2D principal component analysis-based cell type representation followed by support vector machine-based classification. Analogous to criminal face recognition systems implemented with help of surveillance cameras, a signature-based approach for cancerous cell identification using microfluidic microscopy surveillance is demonstrated. Such a platform would facilitate affordable mass screening camps in the developing countries and therefore help decrease cancer mortality rate.

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Metadaten
Titel
Microfluidic microscopy-assisted label-free approach for cancer screening: automated microfluidic cytology for cancer screening
verfasst von
Veerendra Kalyan Jagannadh
G. Gopakumar
Gorthi R. K. Sai Subrahmanyam
Sai Siva Gorthi
Publikationsdatum
22.07.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Medical & Biological Engineering & Computing / Ausgabe 5/2017
Print ISSN: 0140-0118
Elektronische ISSN: 1741-0444
DOI
https://doi.org/10.1007/s11517-016-1549-y

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