@inproceedings{c4280b61eb474946b6991423ac5537e1,
title = "High-definition Fourier transform infrared spectroscopic imaging of prostate tissue",
abstract = "Histopathology forms the gold standard for cancer diagnosis and therapy, and generally relies on manual examination of microscopic structural morphology within tissue. Fourier-Transform Infrared (FT-IR) imaging is an emerging vibrational spectroscopic imaging technique, especially in a High-Definition (HD) format, that provides the spatial specificity of microscopy at magnifications used in diagnostic surgical pathology. While it has been shown for standard imaging that IR absorption by tissue creates a strong signal where the spectrum at each pixel is a quantitative {"}fingerprint{"} of the molecular composition of the sample, here we show that this fingerprint also enables direct digital pathology without the need for stains or dyes for HD imaging. An assessment of the potential of HD imaging to improve diagnostic pathology accuracy is presented.",
keywords = "Cancer, Fourier Transform Infrared Spectroscopy, Hierarchical Cluster Analysis, High Definition, Imaging, Random Forest",
author = "Wrobel, {Tomasz P.} and Kwak, {Jin Tae} and Andre Kadjacsy-Balla and Rohit Bhargava",
note = "Publisher Copyright: {\textcopyright} 2016 SPIE.; 4th Medical Imaging 2016: Digital Pathology ; Conference date: 02-03-2016 Through 03-03-2016",
year = "2016",
doi = "10.1117/12.2217341",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Anant Madabhushi and Gurcan, {Metin N.}",
booktitle = "Medical Imaging 2016",
}