Color-Coding Segmented Objects in a 3D or 4D Image
 
Color-coding segmented objects in a 3D or 4D image is an extremely useful and effective way to communicate to a viewer more than one statistical parameter at a time within an image. It can allow the viewer to quickly visually pick out populations of objects with similar characteristics, which otherwise might be hidden.

Under the Color tab, statistical color-coding is available for Surfaces, Spots, Filament and Track objects. Statistical color-coding is based on the calculated statistical values for the selected objects. Using this function, the selected objects in the viewing area are colored according to the value of the chosen statistical parameter.



Statistical color-coding is simple and easy:

1.Under the Color Tab select the option Statistical Coded
2.Then select the Object type
3.Depending on the object type selected, only the statistics appropriate for that object will be listed.

For example, if Spots are chosen as the Object type, available statistics will only be those calculated for spots objects.

Similarly, variables for Tracks will be listed, if the object type is selected to be Tracks.

4.Finally, select the statistical parameter of interest.

As a result, in the viewing area, the objects are color-coded based on the statistical parameter selected, providing you meaningful and informative visualizations of numerical data.

The statistics colorbar is located in the viewing area and the name of the statistical parameter appears on it. The appearance of a colorbar can be adjusted by altering the properties such as Visibility, Title, Range, and Font. In addition the colorbar transparency can be changed.

Imaris offers a rich collection of the Color maps which can be used for color coding. To display the list of Color Table Files click on the button Load. Try out different Color maps to find a map that best suits your dataset. The Reset button sets the image back to the original values. The Auto button detects the real Min and Max values for dataset and sets automatically the limits to these values.