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BigMike
Cruncher USA Joined: Nov 14, 2005 Post Count: 13 Status: Offline Project Badges: ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
I've noticed that the HCC client takes up to 6 hours on a 2.8Ghz CPU to determine that there are no structures on a sample that is obviously completely devoid of anything.
----------------------------------------In addition, it seems to want to spend a lot of time analyzing the rectangular "ghost image" in each sample that is probably the reflected shape of the light source. These seem a waste of CPU cycles. Can the algorithm be tweaked to accomodate these scenarios? ![]() ==Mike
Don't believe everything you think.
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Former Member
Cruncher Joined: May 22, 2018 Post Count: 0 Status: Offline |
Hello BigMike,
The HCC project scientists do intend to use the current results to improve the algorithm in 2009. I do not have any detailed information about their plans. Lawrence |
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mreuter80
Advanced Cruncher Joined: Oct 2, 2006 Post Count: 83 Status: Offline Project Badges: ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Hi Mike,
I first thought the same, but recent work units don't show the "ghost image" you mentioned. So I think this is perfectly fine. As lawrencehardin said, I'm sure the scientists will look into this and optimize it. Cheers ![]() |
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cubes
World Community Grid Tech, Mapping Cancer Markers and Help Conquer Scientist Canada Joined: Mar 3, 2007 Post Count: 58 Status: Offline Project Badges: ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
The images that crystallographers consider "clear drops" range from near-perfect images, such as the ones Mike is talking about, to more problematic images, such as where the droplet is not completely flattened against the well bottom, leaving a contact point that looks like a droplet within a droplet. Then there are those images where a crystallization, precipitation, or other result is just barely visible.
Unfortunately, for almost every method of analysis, the boundaries are fuzzy between perfectly-empty images, images with subtle-but-unimportant details, and images with subtle-but-important details. Nature puts everything on a continuum. Part of this phase of the HCC project is determining the utility of a large range of image analysis algorithms and their parameters. Those that are distracted by "ghosts" or insignificant details are going to have very bad statistics, and those computations will be culled. I like Mike's suggestion of interrupting the image analysis process if initial computations can already classify the image with certainty. It is a strategy we are investigating. Thanks, Christian A. Cumbaa Research Associate Ontario Cancer Institute |
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