Spectral histology of breast tissue using mid-infrared spectroscopic imaging

F. Nell Pounder, Rohit Bhargava

Research output: Contribution to journalConference article

Abstract

Histopathologic recognition is the gold standard in breast cancer diagnoses and is a primary determinant tool for cancer research. Unfortunately, the manual nature of histopathologic recognition leads to low throughput analysis, delays in decision-making and errors. Here, we present an automated means to accurate histologic recognition using mid-infrared molecular spectroscopy. Fourier transform infrared (FT-IR) spectroscopic imaging is combined with statistical pattern recognition and high throughput sampling to provide automated tissue segmentation into constituent cell types. The method does not need dyes or probes and dispenses with human input. Results demonstrate that the technique is capable of accurate histologic segmentation that can potentially become competitive with that attained by conventional immunohistochemical analyses.

Original languageEnglish (US)
Article number718206
JournalProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7182
DOIs
StatePublished - Jun 1 2009
EventImaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues VII - San Jose, CA, United States
Duration: Jan 26 2009Jan 28 2009

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Histology
histology
breast
Breast
Molecular spectroscopy
Throughput
Tissue
Infrared radiation
Imaging techniques
cancer
Pattern recognition
molecular spectroscopy
Infrared spectroscopy
Fourier transforms
Coloring Agents
Dyes
Decision making
decision making
Sampling
determinants

Keywords

  • Breast cancer
  • Diagnosis
  • FT-IR
  • Histology
  • Imaging
  • Mid-infrared
  • Pathology
  • Pattern
  • Recognition
  • Spectroscopy
  • Staining

ASJC Scopus subject areas

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

Cite this

Spectral histology of breast tissue using mid-infrared spectroscopic imaging. / Pounder, F. Nell; Bhargava, Rohit.

In: Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol. 7182, 718206, 01.06.2009.

Research output: Contribution to journalConference article

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