Towards automatic cell identification in DIC microscopy.
A general method is proposed for constructing templates of cells in differential interference contrast (DIC) microscopy. This takes account of the optics which generate DIC images, and is applicable to both transparent and semi-transparent cells of simple and complex shapes. Then, a template matching methodology is presented, which uses fast Fourier transforms to fit templates of a range of sizes and orientations to images. For illustration, this is used to automatically identify and measure individual Candida yeast cells in clusters.
Young
D
D
Department of Statistics and Modelling Science, University of Strathclyde, Glasgow, U.K.
Glasbey
C A
CA
Gray
A J
AJ
Martin
N J
NJ
D001331:Automation; D002175:Candida / Q000145:classification* / Q000166:cytology*; D002708:Chlorella / Q000166:cytology; D000460:Chlorophyta / Q000166:cytology; D005583:Fourier Analysis; D007091:Image Processing, Computer-Assisted; D008857:Microscopy, Interference / Q000379:methods*