![]() See also IdentifyPrimaryObject and IdentifySecondaryObject modules. Location_X, Location_Y: The pixel (X,Y) coordinates of the center of mass of the identified tertiary objects.Parent: The identity of the primary object and secondary object associated with each tertiary object.Count: The number of tertiary objects identified.Other modules, such as MeasureImageIntensity and MeasureTexture modules, are not affected and will yield expected results.Īvailable measurements Image measurements: typically make sense only for contiguous objects. This may lead to unexpected results when running measurment modules such as MeasureObjectSizeShape because calculations of the perimeter, aspect ratio, solidity, etc. Note that creating subregions using this module can result in objects with a single label that nonetheless are not contiguous. See the section "Available measurements" below for the measurements that are produced by this module. Because each tertiary object is produced from primary and secondary objects, there will always be at most one secondary object for each primary object. What do I get as output? A set of tertiary objects are produced by this module, which can be used in downstream modules for measurement purposes or other operations. Ideally, both inputs should be objects produced by prior Identify modules. The larger objects should therefore be equal in size or larger than the smaller objects and must completely contain the smaller objects IdentifySecondaryObjects will produce objects that satisfy this constraint. For example, "subtracting" the nuclei from the cells will leave just the cytoplasm, the properties of which can then be measured by downstream Measure modules. What do I need as input? This module will take the smaller identified objects and remove them from the larger identified objects. ![]() A common use case is when nuclei have been. This module may be used to define the cytoplasm as an new object. We define an object as tertiary when it is identified by using a prior primary and secondary objects for reference. A common use case is when nuclei have been found using IdentifyPrimaryObjects and the cell body has been found using IdentifySecondaryObjects but measurements from the cytoplasm, the region outside the nucleus but within the cell body, are desired. We define an object as tertiary when it is identified by using a prior primary and secondary objects for reference. What is a tertiary object? In CellProfiler, we use the term object as a generic term to refer to an identifed feature in an image, usually a cellular subcompartment of some kind (for example, nuclei, cells, colonies, worms). nuclei) from larger secondary objects (e.g., cells), leaving a ring shape. Identify Tertiary Objects identifies tertiary objects (e.g., cytoplasm) by removing smaller primary objects (e.g. ![]()
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