I get pretty good fits when I paste this data set into the
Analyze>Tools>Curve Fitting window, delete the first point and last two
points, and then use either a 2nd degree polynomial or Rodbard
function. There is a screenshot at
<
http://rsb.info.nih.gov/ij/images/curve-fits.gif>.
-wayne
> I am doing a project to move a program under NIH Image to
> ImageJ. However there is a problem on density calibration. I
> used same Rodbard function on ImageJ and NIH Image, but got
> the different result. It seems the NIH image gave better
> result. My calibration table is following:
>
> 17.08 .038
> 85.3 .607
> 96.9 .616
> 113.86 .657
> 119.66 .686
> 132.95 .733
> 151.06 .793
> 155.47 .821
> 169.65 .882
> 172.86 .896
> 186.42 .973
> 191.11 1.008
> 205.52 1.109
> 221.93 1.27
> 227.23 1.361
> 234.72 1.492
> 239.85 1.611
> 240.49 1.632
> 246.08 1.869
> 252.81 2.799
>
> Any thought? Thanks.
Locked
