let me know if/when it gets posted--- I've tiled a couple of hundred 33003 files with (largely) successful results..<div>.</div><div>dg</div><div class="gmail_extra"><br><br><div class="gmail_quote">On Wed, Dec 12, 2012 at 3:49 PM, Patrick, Todd <span dir="ltr"><<a href="mailto:tpat@illinois.edu" target="_blank">tpat@illinois.edu</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">We have been trying to tile an Aperio slide with 33003 compression for use with the NYU Virtual Microscope (<a href="http://code.google.com/p/virtualmicroscope/" target="_blank">http://code.google.com/p/virtualmicroscope/</a>) project. We are using the slide tiling python scripts provided with the project. The scripts use OpenSlide to process SVS files using 33003 compression. However, we have hit a snag with the larger SVS files we want to process.<br>
<br>
One of the slides is roughly 98000x42000 in size. We have run across some segmentation faults and values that are too large to be stored in certain data types (i.e. int types). We have worked through the source (mainly the Python Imaging Library) and corrected some issues. I came across the following page asking for some test data:<br>
<br>
<a href="https://github.com/openslide/openslide/wiki/DesiredTestData" target="_blank">https://github.com/openslide/openslide/wiki/DesiredTestData</a><br>
<br>
We would be willing to provide some test data, particularly the current SVS file that we are having issues with. Maybe with someone else taking a look at this problem slide, these issues could be resolved quicker. Where can I send this SVS file? Thanks<br>
<br>
Todd<br>
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</blockquote></div><br><br clear="all"><div><br></div>-- <br>David A Gutman, M.D. Ph.D.<br>Assistant Professor of Biomedical Informatics<br>Senior Research Scientist, Center for Comprehensive Informatics<br>Emory University School of Medicine<br>
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