determinging contact between neighboring cells

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determinging contact between neighboring cells

Maggie Christman
I am trying to determine the proportion of total perimeter of a cell that is
in contact with another cell (actually fractions of total wall perimeter of
xylem vessels in contact with other vessels as viewed in cross section)
without having to manually outline individual regions.  Is there an easy way
to do this?  If I begin with cells that are all outlined, is there a way to
count the number of pixels that are within a certain distance of other pixels?

Any help or suggestions for this would be greatly appreciated!

Maggie


Maggie Caird Christman
[hidden email]

Department of Biology
University of Utah
257 South 1400 East
Salt Lake City, UT 84112

phone: 801-585-0381
fax: 801-581-4668
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Re: determinging contact between neighboring cells

Frederick Ross
On 4/23/07, Maggie Christman <[hidden email]> wrote:
> I am trying to determine the proportion of total perimeter of a cell that is
> in contact with another cell (actually fractions of total wall perimeter of
> xylem vessels in contact with other vessels as viewed in cross section)
> without having to manually outline individual regions.  Is there an easy way
> to do this?

Will close edges have some distinctive form?  For instance, will they
be intensity valleys?  You might be able to use a valley detector in
such a case.  It really depends on what they look like, though.

If the number of things is fairly small, you might just draw a
polyline by hand along the sections that touch and measure its length.
 But then you'll have to find the total perimeter some other way.

If your vessels are bright in a dark background, you could just do a
crude threshold to isolate them, but which doesn't separate the ones
which you consider touching. Then just find the total perimeter of the
resulting blob.

> If I begin with cells that are all outlined, is there a way to
> count the number of pixels that are within a certain distance of other pixels?

Certainly.  Iterate over every boundary pixel of one blob, and in each
iteration iterate over every boundary pixel of the other blob.  If you
find a point in the second blob within your accepted distance, stop
that iteration, increment a counter, and jump to the next pixel in the
first blob.  Something like:

distanceThreshold = 5;
int numTouchingPoints = 0;
for (int i = 0; i < firstBlobPointList.length; i++) {
    for (int j = 0; j < secondBlobPointList.length; j++) {
        if (distance(firstBlobPointList[i],secondBlobPointList[j]) <
distanceThreshold) {
            numTouchingPoints++;
            break;
    }
}

--
Frederick Ross
Graduate Fellow, (|Siggia> + |McKinney>)/sqrt(2) Lab
The Rockefeller University
Je ne suis pas Fred Cross!