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Dog Picking » History » Version 6

Arne Moeller, 06/03/2010 10:39 AM

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h1. Dog Picking
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h2. 1. Test first then submit
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Since Dog Picker does not use any templates you will have to play around with the different settings
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Dog picker will pick *white blobs*, so make sure to invert the density if necessary (usually ice images)
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Test the settings on a characteristic image (simply paste the filename of a typical image in the test settings box). 
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To get an idea which parameters suit your data "mouseover" the boxes. There you can find some general estimates which you can use as starting point.
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During testing you should optimize one parameter at a time and then move on to the next.
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It is a good idea to optimize the settings on one image and then test a second image.
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Don’t worry about the final boxsize or binning this will be determined in the next step: [[stacks]] !
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h2. 2. Click on Run Dog Picker to submit the job
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If you submit the job while you are still collecting data use the option: wait for more images after finishing. 
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h2. 3. Continue with [[stacks]]
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h3. If you want to rerun the job with identical settings go to [[Repeat from other session]] and select the desired job
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!Screen_shot_2010-06-03_at_9.56.19_AM.png!
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[[Template Picking|< Template Picking]] | [[Manual Picking|Manual Picking >]]
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