An investigation of automatic processing techniques for time-lapse microscope images
Li, Yuexiang (2016) An investigation of automatic processing techniques for time-lapse microscope images. PhD thesis, University of Nottingham.
The analysis of time-lapse microscope images is a recent popular research topic. Processing techniques have been employed in such studies to extract important information about cells—e.g., cell number or alterations of cellular features—for various tasks. However, few studies provide acceptable results in practical applications because they cannot simultaneously solve the core challenges that are shared by most cell datasets: the image contrast is extremely low; the distribution of grey scale is non-uniform; images are noisy; the number of cells is large, etc. These factors also make manual processing an extremely laborious task.
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