>Hi,
we are imaging two fluorescent markers that are localized in different cells but are present in the same tissue according to our theory. The data consists of z-stacks of images through the tissue. Is there a mathematical way to analyze and support the close proximity in the same tissue? I guess colocalization studies should not give any colocalization. Can it be called "colocalization" in the same tissue or cooccurence in the same tissue? Rainer -- Rainer Kohler, Ph.D Microscopist Center for Molecular Imaging Research Massachusetts General Hospital/ Harvard Medical School Building 149, 13th Street, Room 5406 Charlestown, MA 02129-2060 Tel. 617 726 5788 [hidden email] The information transmitted in this electronic communication is intended only for the person or entity to whom it is addressed and may contain confidential and/or privileged material. Any review, retransmission, dissemination or other use of or taking of any action in reliance upon this information by persons or entities other than the intended recipient is prohibited. If you received this information in error, please contact the Compliance HelpLine at 800-856-1983 and properly dispose of this information. |
Hello,
Voronoi or Delaunay tessellations may be of help, there is a plugin by Johannes Schindelin available: http://wbgn013.biozentrum.uni-wuerzburg.de/ImageJ/delaunay.html Matos et al. (2002) Cell Motility and the Cytoskeleton 53: 53-65 may be a very useful reference as well. Hope that this is of some help. Best regards, Gareth Edwards. >>> Rainer Kohler <[hidden email]> 05/18/07 4:01 pm >>> >Hi, we are imaging two fluorescent markers that are localized in different cells but are present in the same tissue according to our theory. The data consists of z-stacks of images through the tissue. Is there a mathematical way to analyze and support the close proximity in the same tissue? I guess colocalization studies should not give any colocalization. Can it be called "colocalization" in the same tissue or cooccurence in the same tissue? Rainer -- Rainer Kohler, Ph.D Microscopist Center for Molecular Imaging Research Massachusetts General Hospital/ Harvard Medical School Building 149, 13th Street, Room 5406 Charlestown, MA 02129-2060 Tel. 617 726 5788 [hidden email] The information transmitted in this electronic communication is intended only for the person or entity to whom it is addressed and may contain confidential and/or privileged material. Any review, retransmission, dissemination or other use of or taking of any action in reliance upon this information by persons or entities other than the intended recipient is prohibited. If you received this information in error, please contact the Compliance HelpLine at 800-856-1983 and properly dispose of this information. |
In reply to this post by Rainer Kohler-2
Rainer Kohler wrote:
> we are imaging two fluorescent markers that are localized in different > cells but are present in the same tissue according to our theory. The > data consists of z-stacks of images through the tissue. > Is there a mathematical way to analyze and support the close proximity > in the same tissue? > I guess colocalization studies should not give any colocalization. > Can it be called "colocalization" in the same tissue or cooccurence in > the same tissue? My guess is that there are stereological approaches to this problem. The probability in a random section that object "x" will appear within distance "k" of object "y" will be a function of how far apart the objects actually are. However, I can't point you to a specific paper. You might check with your local stereology guru or scan through recent copies of J. Microscopy. Also, B. Payne and A. Toga published a paper on "distance fields" in Neuroimaging back around 1992 or so--it's a means of finding objects within distance "k" of each other. Finally, there's the ten-cent solution: Colocalization studies implicitly define a distance within which the two labels must occur. For LM studies this is typically either defined by the cell membrane, or (when one's interested in protein-protein interactions), the resolution of the microscope. However, there's no reason this size couldn't be bigger. Suppose you resampled your image so that your voxels were, say, 10 um cubes, and you didn't see any colocalization. Now suppose you increased the voxel size to 20um and you did see colocalization. Those observations might allow you to set limits on the closeness of the labels. You'd need strong labeling (or thresholded images) but it might work.... Good luck! Martin Wessendorf -- Martin Wessendorf, Ph.D. office: (612) 626-0145 Assoc Prof, Dept Neuroscience lab: (612) 624-2991 University of Minnesota Preferred FAX: (612) 624-8118 6-145 Jackson Hall, 321 Church St. SE Dept Fax: (612) 626-5009 Minneapolis, MN 55455 E-mail: martinw[at]med.umn.edu |
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