Digital image analysis has long been applied to monochrome images from
the light microscope. Using these techniques one can locate, measure,
identify, and count the objects of interest in a microscope field of
view. Since microscope images often contain color information of inter
est, it is now becoming more common to analyze the spectral content of
images as well. Although most of the digital imaging techniques devel
oped for monochrome microscopy work well with color images, there are
a few considerations specific to the analysis of multispectral imagery
. These include obtaining a properly balanced multicolor digital image
, specifying the color components of the image, and compensating for i
mperfect separation among the color channels.