Semi-automated object tracking methods in biological imaging.

Semi-automated object tracking methods in biological imaging. Curr Protoc Cytom. 2015;71:12.38.1-12.38.21 Authors: Davis MA, Praěský O, Sysko LR Abstract Time-lapse imaging is a rich data source offering potential kinetic information of cellular activity and behavior. Tracking and extracting measurements of objects from time-lapse datasets are challenges that result from the complexity and dynamics of each object's motion and intensity or the appearance of new objects in the field of view. A wide range of strategies for proper data sampling, object detection, image analysis, and post-analysis interpretation are available. Theory and methods for single-particle tracking, spot detection, and object linking are discussed in this unit, as well as examples with step-by-step procedures for utilizing semi-automated software and visualization tools for achieving tracking results and interpreting this output. © 2015 by John Wiley & Sons, Inc. PMID: 25559222 [PubMed - in process]
Source: Current Protocols in Cytometry - Category: Molecular Biology Tags: Curr Protoc Cytom Source Type: research