Before you do anything first decide whether the orders of magnitude 
difference in CS is going to be relevant. Procrustes analysis will 
uniformly scale the coordinates using the centroid size from each specimen, 
so they all will have unit size. So, from analytical point of view there is 
no harm if you are only going to use the procrustes aligned coordinates or 
PC derived from them in your analysis. The moment you will run into issues 
is when you include the actual centroid size as a variable in your 
analysis, whether for allometric regression or for simply using it species 
comparison. Imagine a case where you have two specimen of the same species, 
one with centroid size in thousand (because probably the coordinates are in 
raw pixel distances) versus one it is in tens (because probably same 
scaling has been already applied to the image either directly or 
indirectly). That obviously wouldn't make much biological sense. 

If you had ruler visible in all your images, proper way to correctly scale 
the data is to measure a known distance (e.g., 50mm) in ImageJ and look at 
the length reported in pixels (e.g., 500 pix). Then the correct scale of 
data is 10pixels/mm (or in other words 100 micron resolution), which you 
can apply using the menu you have shown in your screenshot. This of course 
assumes the measured distance is more or less parallel to one of the image 
axes. The more off-axis it is, the more error you will make. If the field 
of view and the image resolution didn't change between acquisition, then 
you probably only have to do this on a few samples, and if they are all 
coming out around the same value, you can use that  as your the scaling 
coefficient for the remaining samples without having to measure them. 
However, if the field of view has changed (zoom in/out), or you changed the 
resolution of the images after the acquisition you can't rely on your one 
size fits all type of scaling, and have to go one by one. There are three 
orders of magnitude difference in your centroid size plot, so it is hard to 
tell whether the clusters around thousands range are due to different image 
acquisition parameters, or natural size variation (which might be the case 
if you kept all the imaging parameters the same and your specimens vary 
quite a bit in size). All I can say, you definitely have minimum of two 
groups for sure (thousands range, and the ones close to zero). The rest you 
have to decide by trial and error. 

Again, if you are not planning to use centroid size anywhere in your 
analysis, then all this is moot. You can stick to procrustes coordinates 
based shape analysis, and all will be good. 



On Friday, October 18, 2024 at 3:40:27 PM UTC-7 Chris J Conroy wrote:

> Hello morphologists,
>
>      I’ve created a landmark dataset for ~250 mammal skulls. My process 
> was to take images in the same view, with a ruler in the image. I opened 
> the files in ImageJ and plotted the points. I’ve made an input file in 
> MorphoJ and done the usual analyses, which largely make phylogeographic 
> sense. However, centroid size appears to be in semi-discreet bands of 
> values ranging from near 0 to near 4000. I’m sure the variation comes from 
> at least two sources. One is that I used two cameras, one at 72 DPI and the 
> other at 96 DPI. Opening the images in Mac Preview allows me to check this. 
> Next, in ImageJ, it looks like for some of them I set a scale based on the 
> image density and others I did not. The landmark XY values themselves 
> differ by orders of magnitude.
>
> I took a sample of specimens from top to bottom of the centroid size 
> variation and fixed the scale in ImageJ and recreated the landmarks. The XY 
> values are now in the same range.
>
> Before I sit down and do this for all 250 images, I wanted to see if this 
> is going to be a waste of time, or will images from different digital 
> cameras going to be fundamentally different in centroid size and not worth 
> the work. I suppose I could do the work and then code all the images by 
> camera and see if there is an obvious effect. Surely I’m not the first 
> person to go through this. 
>
> If it comes to it, I can re-take the lower res images on the higher 
> resolution camera. 
>
>  Lastly, on the higher resolution camera, some images are slightly zoomed 
> to fill the image with the object. Will this also mess up centroid size?
>
> Thanks,
>
> Chris
>
>
>
>

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