High-definition Fourier transform infrared spectroscopic imaging of prostate tissue

Tomasz P. Wrobel, Jin Tae Kwak, Andre Kadjacsy-Balla, Rohit Bhargava

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2016
Subtitle of host publicationDigital Pathology
EditorsAnant Madabhushi, Metin N. Gurcan
PublisherSPIE
ISBN (Electronic)9781510600263
DOIs
StatePublished - Jan 1 2016
Event4th Medical Imaging 2016: Digital Pathology - San Diego, United States
Duration: Mar 2 2016Mar 3 2016

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume9791
ISSN (Print)1605-7422

Other

Other4th Medical Imaging 2016: Digital Pathology
CountryUnited States
CitySan Diego
Period3/2/163/3/16

Keywords

  • Cancer
  • Fourier Transform Infrared Spectroscopy
  • Hierarchical Cluster Analysis
  • High Definition
  • Imaging
  • Random Forest

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Wrobel, T. P., Kwak, J. T., Kadjacsy-Balla, A., & Bhargava, R. (2016). High-definition Fourier transform infrared spectroscopic imaging of prostate tissue. In A. Madabhushi, & M. N. Gurcan (Eds.), Medical Imaging 2016: Digital Pathology [97911D] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 9791). SPIE. https://doi.org/10.1117/12.2217341