Posted by
Rebecca Keller on
Mar 20, 2014; 1:04am
URL: http://imagej.273.s1.nabble.com/Rephrased-FFT-Question-tp5007000p5007006.html
Thanks very much for this reference, but actually it is a bit cumbersome to
come in and out of imagej, since this "plugin" requires ms excel for the
fft'ing.
Seems like it should be possible to get the current fft algorithm to do a
1D FFT on each pixel over time, then re-output the timelapse stack as a 2D
image in frequency domain. Then it would be neat, for example, to make a 2D
image depth-coded by frequency. I, however, just need to get the pixels
which all have the same frequencies, which should be easy enough to do
using the 1D FFT pixelwise which I suggested.
JPK
On Wed, Mar 19, 2014 at 5:18 PM, Eric Denarier <
[hidden email]> wrote:
> Hi Rebecca,
> You may have a look to Claire Smith's CiliaFA macro. It reveals
> frequencies of intensity variation in different zone of a brightfield image.
> We are using it for high frequency Cilia beating.
> here is a link to the paper and macro :
>
http://www.ciliajournal.com/content/1/1/14>
>
> Rebecca Keller <
[hidden email]> a écrit :
>
> Dear List,
>>
>> Let me rephrase: what I am trying to do is locate oscillations of a
>> certain
>> frequency onto a 2D visual field, i.e., convert the third
>> dimension (time) of a time-lapse image series into frequency space. Then I
>> could scan through frequency space (the new third dimension) to find
>> groups
>> of pixels with similar oscillation frequencies.
>>
>> So I guess what would need to be done is a 1D FFT for each pixel. Is there
>> any way easily to do this with the current imagej tools?
>>
>> JPK
>>
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