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Intelligent Acquisition and Learning of Fluorescence Microscope Data Models

Charles Jackson




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 | #10539352 in Books |  2010-04-07 |  9.00 x.30 x6.00l, | File type: PDF | 132 pages

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This thesis presents a new acquisition framework that models fluorescence microscope data during acquisition, and uses these learned models to intelligently guide future acquisitions. This framework results in significant time savings, as well as in reducing the photobleaching and phototoxicity incurred during acquisition. Fluorescence microscopy is a popular tool for live-cell imaging, and in recent years, there has been an explosion in the amount of data acquired with ...

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