Validating the cancer diagnosis potential of mid-infrared spectroscopic imaging

F. Nell Pounder, Rohith K. Reddy, Michael J. Walsh, Rohit Bhargava

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


Histologic diagnosis is the gold standard for evaluating the presence and severity of most cancers. Unfortunately, the manual nature of histologic recognition leads to low throughput and errors. Here, we report on the evaluation of an automated means to accurate histologic recognition using mid-infrared spectroscopic imaging. The method does not need dyes or probes and dispenses with human input but relies on computational approaches to provide decisions. Hence, the results must be rigorously validated. We present here a validation of two-class models for pixel-level histologic segmentation and pathologic classification by spatial polling for breast carcinoma. We also discuss optimization of spectral resolution and instrumentation for clinical translation.

Original languageEnglish (US)
Title of host publicationOptical Diagnostics and Sensing IX
StatePublished - 2009
EventOptical Diagnostics and Sensing IX - San Jose, CA, United States
Duration: Jan 26 2009Jan 27 2009

Publication series

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


OtherOptical Diagnostics and Sensing IX
Country/TerritoryUnited States
CitySan Jose, CA


  • Breast
  • Cancer
  • chemical imaging
  • Diagnosis
  • Fourier transform infrared spectroscopy
  • FT-IR
  • Imaging
  • Mid-IR, FPA
  • Spatial polling
  • Spectral resolution

ASJC Scopus subject areas

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


Dive into the research topics of 'Validating the cancer diagnosis potential of mid-infrared spectroscopic imaging'. Together they form a unique fingerprint.

Cite this