A three-dimensional multivariate image processing technique for the analysis of FTIR spectroscopic images of multiple tissue sections.

ABSTRACT:

Background

Three-dimensional (3D) multivariate Fourier Transform Infrared (FTIR) image maps of tissue sections are presented. A villoglandular adenocarcinoma from a cervical biopsy with a number of interesting anatomical features was used as a model system to demonstrate the efficacy of the technique.

Methods

Four FTIR images recorded using a focal plane array detector of adjacent tissue sections were stitched together using a MATLAB routine and placed in a single data matrix for multivariate analysis using Cytospec. Unsupervised Hierarchical Cluster Analysis (UHCA) was performed simultaneously on all 4 sections and 4 clusters plotted. The four UHCA maps were then stacked together and interpolated with a box function using SCIRun software.

Results

The resultant 3D-ima

SUBMITTER: Wood BR 

PROVIDER: S-EPMC1592472 | biostudies-literature | 2006 Oct

REPOSITORIES: biostudies-literature