Amr El-Labban

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With the widespread use of time-lapse data to understand cellular function, there is a need for tools which facilitate high-throughput analysis of data. We present a system for automated segmentation and mitotic phase labelling based on a wide margin discriminative Semi-Markov Model. This work takes the novel approach of using temporal features evaluated(More)
With the widespread use of time-lapse data to understand cellular function, there is a need for tools which facilitate high-throughput analysis of data. Fluorescence microscopy of genetically engineered cell lines in culture can be used to visualise the progression of these cells through the cell cycle, including distinctly identifiable sequential stages of(More)
The detection of chromosome segregation errors in mitosis is an important area of biological research. Due to the rarity and subtle nature of such errors in untreated cell lines, there is a need for automated, high-throughput systems for quantifying the rates at which such defects occur. This paper presents a novel approach to detecting subtle chromosome(More)
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