In this work, optical scattering using Raman spectroscopy has been analyzed for various cancer tissues. The Raman shifts obtained at the Indiana University Bloomington (IUB) and Indiana University-Purdue University In...In this work, optical scattering using Raman spectroscopy has been analyzed for various cancer tissues. The Raman shifts obtained at the Indiana University Bloomington (IUB) and Indiana University-Purdue University Indianapolis (IUPUI) laboratories have been processed for diagnosing various types of cancer tissues. The objective of this research is to distinguish between cancerous and non-cancerous tissues. Small size tissue samples have been processed, seeking the minimum size tissue that can be diagnosed via Raman spectroscopy. The tests have been conducted on nearly 20 human tissues. A Matlab program has been written following Parzen-Window classifier to recognize the Raman shift pattern for various types of cancer tissues, including breast cancer, kidney, and Gyn-Uterus. A software visual model has been used for data processing. Unique signals for breast and kidney tumors have been obtained. The approach followed in this paper shows promise for early cancer detection in humans.展开更多
A novel inductive technique for the detection of microcantilever displacement for sensing applications was presented.We highlight the basic structure and evaluate its characteristics with the aid of modeling and simul...A novel inductive technique for the detection of microcantilever displacement for sensing applications was presented.We highlight the basic structure and evaluate its characteristics with the aid of modeling and simulation.Results generated by numerical simulations using ANSOFT are compared with those obtained from an equivalent circuit model using PSPICE.There are indications that the sensitivity of the inductive cantilever is about one order of magnitude higher as compared to piezoresistive silicon cantilevers of the same dimension under the same cantilever bending.展开更多
文摘In this work, optical scattering using Raman spectroscopy has been analyzed for various cancer tissues. The Raman shifts obtained at the Indiana University Bloomington (IUB) and Indiana University-Purdue University Indianapolis (IUPUI) laboratories have been processed for diagnosing various types of cancer tissues. The objective of this research is to distinguish between cancerous and non-cancerous tissues. Small size tissue samples have been processed, seeking the minimum size tissue that can be diagnosed via Raman spectroscopy. The tests have been conducted on nearly 20 human tissues. A Matlab program has been written following Parzen-Window classifier to recognize the Raman shift pattern for various types of cancer tissues, including breast cancer, kidney, and Gyn-Uterus. A software visual model has been used for data processing. Unique signals for breast and kidney tumors have been obtained. The approach followed in this paper shows promise for early cancer detection in humans.
基金supported by the Institute for Micromanufacturing at Louisiana Tech University,a Louisiana Board of Regents Industrial Ties grant,the National Institutes of Health(1R01NS057366)the National Natural Science Foundation of China(20728506B05)
文摘A novel inductive technique for the detection of microcantilever displacement for sensing applications was presented.We highlight the basic structure and evaluate its characteristics with the aid of modeling and simulation.Results generated by numerical simulations using ANSOFT are compared with those obtained from an equivalent circuit model using PSPICE.There are indications that the sensitivity of the inductive cantilever is about one order of magnitude higher as compared to piezoresistive silicon cantilevers of the same dimension under the same cantilever bending.
