Mitotic Tree Construction by Computer In Vitro Cell Tracking: a Tool for Proliferation and Motility Features Extraction

Author

Debeir, O. ; Milojevic, D. ; Leloup, T. ; Van Ham, P. ; Kiss, R. ; Decaestecker, C.

Author_Institution

Dept. of Logical & Numerical Syst., Univ. Libre de Bruxelles, Brussels

Volume

2

fYear

2005

fDate

21-24 Nov. 2005

Firstpage

951

Lastpage

954

Abstract

We propose a new algorithm to analyze cell migration. Sequences of frames are automatically recorded from standard (unmarked) cell cultures by means of phase-contrast microscopes equiped with video acquisition systems. This algorithm is able to automatically follow the locations in the reverse time of many cells during sequences covering relatively long periods of time such as 1 to 3 days. We then recombine the obtained cell tracks to detect mitoses and build a "mitotic tree". Several features are extract to characterize cell population motility and proliferation. As illustration the method is tested on U373 astrocytoma cell line

Keywords

biology computing; cell motility; cellular biophysics; feature extraction; image sequences; microscopy; U373 astrocytoma cell line; cell cultures; cell division; cell migration; cell population motility; cell population proliferation; computer in vitro cell tracking; feature extraction; frame sequences; image processing; mean-shift-tracking; mitosis detection; mitotic tree construction; phase-contrast microscopes; video acquisition systems; video microscopy; Algorithm design and analysis; Biology computing; Cells (biology); Event detection; Feature extraction; Image processing; Image sequence analysis; In vitro; Microscopy; Pixel; cell division; cell motility; image processing; mean-shift - tracking; video microscopy;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer as a Tool, 2005. EUROCON 2005.The International Conference on

Conference_Location

Belgrade

Print_ISBN

1-4244-0049-X

Type

conf

DOI

10.1109/EURCON.2005.1630104

Filename

1630104