Brett Shoelson

I've used Sam's demo to present high-throughput screening in MATLAB, and am a big fan. This is an extremely well-thought-out demo that describes in great detail a very nice image-processing and curve-fitting workflow. It includes discussions of image exploration and algorithm development, stepping through to automation and batch processing, and ending with a nice implementation of the code in a distributed (cluster) environment. The subject matter is real and relevant. I highly recommend this to anyone who wants to improve his or her understanding of how MATLAB can help streamline an otherwise tedious image processing workflow.

Very useful, thanks.
For those wondering how to exit the function, just click on 'X'.

I've found useful to create a 'exit_zoom2cursor' function.
If you're interested, comment the statement 'endbutton = ...'
And call this function:

function exit_zoom2cursor
zoomparams = getappdata(gcf,'zoomparams');
if isempty(zoomparams)
    return;
end;
set(gcf,'windowbuttonmotionfcn',zoomparams.oldwbmf);
set(zoomparams.currax,'units',zoomparams.oldaxunits,'xlim',zoomparams.oldxlim,'ylim',zoomparams.oldylim);
set(get(zoomparams.currax,'children'),'buttondownfcn',zoomparams.bdfcnold,'busyaction',zoomparams.baold);
set(gcf,'pointer',zoomparams.oldpointer,'doublebuffer',zoomparams.dbold);