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dc.contributor.authorQuammen, Cory W.en_US
dc.contributor.authorRichardson, Alvin C.en_US
dc.contributor.authorHaase, Julianen_US
dc.contributor.authorHarrison, Benjamin D.en_US
dc.contributor.authorII, Russell M. Tayloren_US
dc.contributor.authorBloom, Kerry S.en_US
dc.contributor.editorCharl Botha and Gordon Kindlmann and Wiro Niessen and Bernhard Preimen_US
dc.date.accessioned2014-01-29T17:02:13Z
dc.date.available2014-01-29T17:02:13Z
dc.date.issued2008en_US
dc.identifier.isbn978-3-905674-13-2en_US
dc.identifier.issn2070-5786en_US
dc.identifier.urihttp://dx.doi.org/10.2312/VCBM/VCBM08/151-158en_US
dc.description.abstractFluorescence microscopy provides a powerful method for localization of structures in biological specimens. However, aspects of the image formation process such as noise and blur from the microscope s point-spread function combine to produce an unintuitive image transformation on the true structure of the fluorescing molecules in the specimen, hindering qualitative and quantitative analysis of even simple structures in unprocessed images. We introduce FluoroSim, an interactive fluorescence microscope simulator that can be used to train scientists who use fluorescence microscopy to understand the artifacts that arise from the image formation process, to determine the appropriateness of fluorescence microscopy as an imaging modality in an experiment, and to test and refine hypotheses of model specimens by comparing the output of the simulator to experimental data. FluoroSim renders synthetic fluorescence images from arbitrary geometric models represented as triangle meshes. We describe three rendering algorithms on graphics processing units for computing the convolution of the specimen model with a microscope s point-spread function and report on their performance. We also discuss several cases where the microscope simulator has been used to solve real problems in biology.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Picture/Image Generation J.3 [Life and Medical Sciences]: Biology and geneticsen_US
dc.titleFluoroSim: A Visual Problem-Solving Environment for Fluorescence Microscopyen_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biomedicineen_US


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