User guide

Bands
14-21
curve you want to use. (See section 15.3 for information on calibration
curves.)
14.7 Gauss-Modeling Bands
If your bands are closely spaced or overlapping, Gaussian modeling can
provide more accurate quantitation than regular band detection.
Gaussian modeling will “fit” a Gaussian curve to each band profile, then
calculate band quantity from the area under the curve. Since the profile of a
well-resolved, distinct band conforms to the shape of a Gaussian curve, this
“fitting” will create a band profile that is as close to ideal as possible. For a
band that overlaps with an adjacent band, Gaussian fitting provides the best
way to resolve the area that overlaps. (This quantity would be lost with
conventional band detection.)
Note: Gaussian modeling requires that your lanes have little or no background
noise. You should subtract background from your lanes using the Lane >
Lane Background command (section 13.2) prior to modeling. Also, high-
resolution images will require significantly more time to model. You may
want to reduce image resolution using the File > Reduce File Size
command described in section 2.4.