Multi-cell 3D tracking with adaptive acceptance gates

Author

Landau, Michael ; Koltsova, Ekaterina ; Ley, Klaus ; Acton, Scott T.

Author_Institution

Dept. of Electr. Eng., Univ. of Virginia, Charlottesville, VA, USA

fYear

2010

fDate

23-25 May 2010

Firstpage

49

Lastpage

52

Abstract

Recent advances in multiphoton microscopy have allowed the capture of dendritic and T cells on video in a 3D volume. This paper reports on an approach for automatically detecting and tracking the cells and collecting statistics on their characteristics of motion and interaction durations. A novel method to extend the track longevity is presented, where an adaptive acceptance gate is computed based on the local target density. Results are provided that show that the total number of track segments was reduced by 22% and the percentage of tracks that lasted longer than half the video increased from 12% to 17% of the total tracks.

Keywords

biological techniques; cellular biophysics; motion measurement; multiphoton spectroscopy; optical microscopy; T cell; adaptive acceptance gate; adaptive acceptance gates; dendritic cell; interaction durations; local target density; motion characteristics; multicell 3D tracking; multiphoton microscopy; track longevity; track segments; Biology; Cells (biology); Distributed control; Immune system; Microscopy; Nearest neighbor searches; Particle tracking; Space exploration; Statistics; Target tracking; Biological Image Analysis; Kalman Filter; Target Tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis & Interpretation (SSIAI), 2010 IEEE Southwest Symposium on

Conference_Location

Austin, TX

Print_ISBN

978-1-4244-7801-9

Type

conf

DOI

10.1109/SSIAI.2010.5483920

Filename

5483920