Data processing for tissue histopathology using fourier transform infrared spectral data

Frances N. Keith, Rong Kong, Anusha Pryia, Rohit Bhargava

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

Abstract

Optical microscopic examination of stained tissue by pathologists is the gold standard for the diagnosis of most cancers. Due to the human element involved, however, the process is slow, decisions are often complicated by subjective opinions and the uncertainty in diagnoses can affect therapy. Infrared spectroscopic imaging or hyperspectral molecular imaging, as opposed to optical wideband imaging, has been proposed as a viable alternative to provide automated, accurate, reproducible and useful diagnoses. Data processing to enable these applications, however, is not straightforward. Here we discuss recent advances in automatically profiling tissue and present the complexity and numerical strategies to address issues involved. Using breast cancer as an example, we show the importance of integrating statistical and mathematical tools into the analysis framework.

Original languageEnglish (US)
Title of host publicationConference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06
Pages71-75
Number of pages5
DOIs
StatePublished - Dec 1 2006
Event40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06 - Pacific Grove, CA, United States
Duration: Oct 29 2006Nov 1 2006

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06
CountryUnited States
CityPacific Grove, CA
Period10/29/0611/1/06

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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    Keith, F. N., Kong, R., Pryia, A., & Bhargava, R. (2006). Data processing for tissue histopathology using fourier transform infrared spectral data. In Conference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06 (pp. 71-75). [4176515] (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2006.356586