@inbook{8e4f6341e8184f11877d127bb30c44f1,
title = "Fourier transform infrared (Ft-Ir) spectroscopic imaging for solid tumor histopathology",
abstract = "Fourier transform infrared (FT-IR) spectroscopic imaging has shown great promise in becoming a powerful tool in cytology and histopathology. Applications for cancer diagnoses in solid tumors are especially attractive as samples are spatially complex and involve myriad molecular changes whereas there are many shortcomings in current clinical practice that can be addressed. Here we review the current state of the art in applying FT-IR imaging for analyzing solid tumors. We focus on instrumentation that is relatively new, emerging fundamental understanding gained by new theoretical advances, data analysis and selected, illustrative applications in cancer histopathology.",
keywords = "Bayesian classification, Breast, Cancer pathology, Discrete frequency, Fourier transform infrared imaging, Histopathology, Instrumentation, Lasers, Metrics, Prostate, Statistical pattern recognition, Theory, Tissue imaging",
author = "Sreeradha Biswas and Walsh, {Michael J.} and Rohit Bhargava",
note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Dordrecht 2014.",
year = "2014",
doi = "10.1007/978-94-007-7832-0_16",
language = "English (US)",
series = "Challenges and Advances in Computational Chemistry and Physics",
publisher = "Springer",
pages = "475--504",
booktitle = "Challenges and Advances in Computational Chemistry and Physics",
address = "Germany",
}