Paper Info
Title
Determination of Mitotic Delays in 3d Fluorescence Microscopy Images of Human Cells Using an Error-Correcting Finite State Machine.
Abstract
In high-throughput cell phenotype screens large amounts of image data are acquired. The evaluation of these microscopy images constitutes a bottleneck and motivates the development of automated image analysis methods. Here we introduce a computational 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 different mitotic phases. In particular, we present an algorithm based on a finite state machine to check the consistency of the resulting sequence of mitotic phases and to correct classification errors. Our approach enables automated determination of the duration of the single phases and thus the identification of cell cultures with delayed mitotic progression.
Year
DOI
Venue
2007
10.1109/ISBI.2007.357034
Bildverarbeitung für die Medizin
Keywords
DocType
ISSN
biomedical optical imaging,cellular biophysics,error correction,finite state machines,fluorescence,image classification,image segmentation,image sequences,medical image processing,optical microscopy,3D fluorescence microscopy,RNAi,cell nuclei classification,cell nuclei segmentation,cell phenotype screens,finite state machine,human cells,image sequences,mitotic delays
Conference
1945-7928
Citations 
PageRank 
References 
1
0.38
6
Authors
6
Name
Order
Citations
PageRank
Nathalie Harder111417.57
Felipe Mora-Bermúdez2202.64
William J. Godinez39110.98
Jan Ellenberg4467.40
Roland Eils564470.09
Karl Rohr634048.69