Posted by
Romain Guiet on
Mar 09, 2015; 3:19pm
URL: http://imagej.273.s1.nabble.com/Macro-for-recognize-shapes-tp5011825p5011924.html
Hi Matt,
without any image, it's a bit difficult to answer... but if you can get a segmented image of the nuclei and of your nuclear protein (let's assume you have spots) you could try to:
- generate a distance map of the nuclei image
and then
-measure the value of each spot (from nuclear protein) in this distance map image.
This way, you could observe that for some nuclei the nuclear protein have small distance value (close to the periphery) and for other they have more randomly distributed value...
Cheers,
Romain
---------------------------------------------------------------
Dr. Romain Guiet
Bioimaging and Optics Platform (PT-BIOP)
Ecole Polytechnique Fédérale de Lausanne (EPFL)
Faculty of Life Sciences
Station 19, AI 0140
CH-1015 Lausanne
Phone: [+4121 69] 39629
http://biop.epfl.ch/---------------------------------------------------------------
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De : ImageJ Interest Group [
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Envoyé : lundi 2 mars 2015 16:45
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Objet : How to measure nuclear protein spatial distribution
Hi all,
One of our facility users would like to put some numbers on the distribution of their nuclear protein in 2D which in some cells localises more to the periphery and in others is more randomly distributed. Is there an easy way to quantify this? Ideally by segmenting the entire nucleus then using some parameter to measure the intensity and distribution within.
HIstorically, here we have divided the nucleus into 5 concentric bands each with equal area and then measured the intensity within each ring as a means to be able to compare distribution between different nuclei.
Thanks for the help,
Matt
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