Name |
# |
Type |
Description |
Threshold level (pixel value) |
1 |
real |
Pixel intensity value distinguishing fat droplets and cellular structures. 0-255 for 8-bitgrayscale or 24-bit RGB images. A lower value makes detection more sensitive. |
Size cutoff between small and large droplets (pixels, approximate diameter) |
2 |
integer |
Smaller objects than this value in pixels (diameter) will be detected as small droplets, larger object as large objects |
Minimum roundness of droplets (0-1) |
3 |
real |
1 for disc, smaller for irregular shapes. 0 for not checking |
Minimum size of droplets (pixels, diameter) |
4 |
integer |
Diameter. The surface are calculated from this diameter is used to gate off droplets smaller than this size. |
Maximum size of droplets (pixels, diameter) |
5 |
integer |
Diameter. The surface are calculated from this diameter is used to gate off droplets or background areas larger than this size. |
Histogram: number of bins |
6 |
integer |
When the output is histogram, the histogram is calculated using this number of equal sized bins, where the lowest bin starts at the smallest data point and the highest bin ends at the largest data point. If explicit range definition is used below, the bins will bound the given range. Use zero bin size for automatic binning. |
Histogram: range |
7 |
string |
If left empty or set to "All", a histogram is generated where the lowest bin starts at the smallest data point and the highest bin ends at the largest data point. If a range is given here e.g. 100-500, then the lowest bin starts at the beginning of the range and the highest bin ends at the end of the range. |