Joe,
Thank-you very much for the help.
I think I've gotten my head around extracting the d-spacing. But I'm not
sure about the error.
Which points of a line profile over the fft would correspond to the error?
Is there a more in depth tutorial on looking at spacing in this manner?
Lewis
On 31/08/2011 22:35, Joe Smerdon wrote:
for a large scale image with lots of information, a 2d fft should show
a (diffuse) ring of intensity showing the average (inverse) spacing.
a line profile over the diffuse ring might give you something to fit
to find the error on the measurement.
if i open your phase image, then do a 2d fft, then use the colour tool
to optimise the colour range, i find a domain of intensity clustered
around the middle - this (obv) is related only to the low frequency
information and the stuff around the outside is related to the high
frequency (to pick the frequency range you are interested in you can
use fft filtering). well, the lowest frequency stuff i can find in the
image is the domain spacing, so i just pick the frequency that fits
the domain of intensity, invert it and i get an average spacing for
your image of about 14 nm. a line profile of the fft gives me an
error of about 1 order of magnitude, so about 1.4 nm.
hth
joe
On 31 August 2011 14:39, Lewis Williams
<[email protected]
<mailto:[email protected]>> wrote:
I was wondering if somebody could help me with the correct/best way to
process my images.
I'm trying to extract the average domain spacing from tapping mode AFM
images.
I have a lamellae structure, and I'd like to know the average
interdomain spacing.
I can extract a profile and then measure peak to peak and then average
the values, but this is only averaged in 1 dimension over a chosen
profile.
Please advise.
Sincerely,
Lewis
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