Conference Paper

Determination of Mitotic Delays in 3D Fluorescence Microscopy Images of Human Cells Using an Error-Correcting Finite State Machine.

DOI: 10.1007/978-3-540-71091-2_49 Conference: Bildverarbeitung für die Medizin 2007, Algorithmen, Systeme, Anwendungen, Proceedings des Workshops vom 25.-27. März 2007 in München
Source: DBLP

ABSTRACT In high-throughput cell phenotype screens large amounts of image data are acquired. The evaluation of these microscopy images re- quires automated image analysis methods. Here we introduce a compu- tational scheme to process 3D multi-cell image sequences as they are produced in large-scale RNAi experiments. We describe an approach to automatically segment, track, and classify cell nuclei into seven difierent mitotic phases. In particular, we present an algorithm based on a flnite state machine to check the consistency of the resulting sequence of mi- totic phases and to correct classiflcation errors. Our approach enables automated determination of the duration of the single phases and thus the identiflcation of cell cultures with delayed mitotic progression.

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Available from: William J. Godinez, Aug 20, 2015
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