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Optics

By A. Schuster, J. Nicholson

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K. Lutgendorf, “Large-Core Breast Biopsy: Abnormal Salivary Cortisol Profiles Associated with Uncertainty of Diagnosis,” Radiology, 250(3):631–637, 2009. 11. S. S. Raab, D. M. Grzybicki, J. E. Janosky, R. J. Zarbo, F. A. Meier, C. Jensen, and S. J. Geyer, “Clinical Impact and Frequency of Anatomic Pathology Errors in Cancer Diagnosis,” Cancer, 104(10):2205–2213, 2005. 12. E. Rakovitch, A. Mihai, J. Pignol, W. Hanna, J. Kwinter, C. Chartier, I. Ackerman, J. Kim, K. Pritchard, and L. ” Breast Cancer Research and Treatment, 87:265–272, 2004.

CHAPTER 2 Synchrotron-Based FTIR Spectromicroscopy and Imaging of Single Algal Cells and Cartilage Michael J. Nasse,*,† Eric Mattson,* Claudia Gohr,‡ Ann Rosenthal,‡ Simona Ratti, * Mario Giordano,§ and Carol J. Hirschmugl* I n this chapter we will describe novel instrumentation and initial biomedical experiments whose combination will provide the opportunity to measure in situ (in vivo) kinetics of pathological mineralization in the near future. The instrumentation includes two components: A novel IR synchrotron beamline IRENI (IR environmental imaging) at the Synchrotron Radiation Center (Stoughton, Wisconsin) and a newly designed flow chamber to maintain living cells in a hydrated and controlled environ.

The metric probability distributions may not be uniform for different tumors and different patients, which would decrease predicted accuracy confidence in the validation AUC curve. To further assess classification potential, a core-based ROC analysis is performed to analyze the sensitivity and specificity of the classification (Fig. 7c). This resulting curve illustrates the trade-off between these two factors in determining appropriate classification parameters. The threshold for separating cancer and normal tissue could be altered based upon a cost model for false positive and false negative results.

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An Introduction to the Theory of Optics by A. Schuster, J. Nicholson


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