>Hi All,
>
> I am looking for some hand waiving suggestions to approach a
>problem. I am imaging fluorescent puncta that move around a little
>bit over time. As I automatically segment these puncta in each
>image, I am left with a Constellation of ROIs. Over time, some ROIs
>come and go, but most remain detected. However the extact center of
>mass coordindates move around a little over time. Part of this is
>just because the location of the fluorophores can move. But the
>general orientation of a given puncta within the constellation of
>say 50 - 900 puncta remains largely the same. This might be
>comparable to looking at protein spots on 2D gels, etc. Can anyone
>suggests a reasonable method for tracking puncta/spots over a series
>of a few images and assigning them IDs. In the end, my goal is to
>generate an ROI set from each set of puncta and be able to known
>which puncta is which over a series of ROI sets in light of their
>slight movement (i.e. changing center of mass co-ordinates). I hope
>this was relatively clear.
>
>Many thanks for any suggestions,
>Damon
>
>--
>
>Damon Poburko, PhD
>Postdoctoral Research Fellow
>Stanford University School of Medicine
>Dept. of Molecular & Cellular Physiology
>279 Campus Dr., Beckman B103, Stanford, CA 94305
>Ph: 650 725 7564, fax: 650 725 8021
You may have a look at
<
http://www.gluender.de/Writings/WritingsTexts/HardText.html#Gl-1991-2>
where I prove the identity of the difference vector between the
centres of gravity of two arbitrary n-dimensional density functions,
with the centroid vector of their cross-correlation function.
Maybe its of some help.
Best
--
Herbie
------------------------
<
http://www.gluender.de>