In this case study we discuss an interactive feature tracking system and its use for the analysis of chromatin decondensation. Features are described as points in a multidimensional attribute space. Distances between points are used as a measure for feature correspondence. Users can interactively experiment with the correspondence measure in order to gain insight in chromatin movement. In addition, by defining time as an attribute, tracking problems related to noisy confocal data can be circumvented.
Features are defined as points in a multi-dimensional attribute space while the distance between two points is taken as a metric to evaluate the feature correspondence REF .
Chromatin decondensation: a case study of tracking features in confocal data
VIS '01
Computer Science