Eric,
I would suggest converting the tiff images into a structured point set where the x and y dimensions are the image pixel dimensions and the z dimension is the 207 pixel depth of the stack of images.
From there you can sample the dataset with marching cubes to create a polydata set. I haven't played with imaging pipelines, but I know that it must work similar to the way I described.
A look at the frog example will probably help you a lot. It does what you want. The "segemented8.tcl" file does all the work.
Good Luck

Eric Engelhard wrote:

Hello,
I am in the process of creating a three dimensional model of a honey
bee exoskeleton. I have already wax embedded and sectioned my first sample. Each of
the 207 tif images has been processed (threshold of
tanned cuticle as black and all else as white). I was wondering if there
is a particular visualization method which would take advantage of this
binary data, as far as enhancing rendering speed. I have the second
edition of the Visualization Toolkit, but am a bit overwhelmed by the
number of objects. Any pointers to online tutorials are also welcome.
Thanks -Eric Engelhard
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