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ResearchMy research is presently focusing on the efficient acquisition of fluorescence microscopy datasets. Fluorescence microscopy is the most popular method for studying the dynamic behavior exhibited in live cell imaging. Efficient acquisition of datasets will enable us to achieve higher spatial and temporal resolutions, and reduce the photo-damage occuring during the imaging process.The following paper provides some background to fluorescence microscopy, and discusses the project more fully. The approach suggested in this approach is to use an autoregression model to allow for more efficient sampling of the datasets. Fluorescence Microscopy Acquisition The next paper provides an overview of fluorescence microscopy, including some present limitations and more advanced technologies. Case studies are provided of the applications of fluorescence microscopy to cell division, and also to a study of the nervous system. Fluorescence Microscopy and its Applications Additional resources on the web can be found on the Links page. |