This is why there is spot features and feature filters. In the next steps, each spot will have a series of numerical features calculated using its location, radius and the image it is found in, such as the mean pixel intensity. You will be able to define filters on these features, to retain only the ones that are relevant to your study.
But for a very large number of spots - let's say: more than 1 million of them - performance issues can kick in. Those millions of spots will be stored in the model, and saved in the TrackMate file, in case you want to step back and change the filters because for instance you realized you are not happy with the end results (you can do that). Some visualization tools - the 3D displayer for instance - will generate the renderings for those millions of spots at once and hide or show them depending on the filter values, because it is too expensive to recreate the renderings while tuning the filter values.
To deal with that, we added a first filter prior to any other step, that uses the '''Quality''' value. The quality value is set by the segmenter, and is an arbitrary measure of the likelihood of each spot to be relevant.
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and spot filtering ==
[[Image:TrackMate FilterSpots 1.png|right|border|]]
[[Image:TrackMate FilterSpots 2.png