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发表时间:2018-09-12 阅读次数:264次
报告题目: Statistical Inverse Problems and applications to fluorescence microscopy
报 告 人:Frank Werner
报告人所在单位:Max Planck Institute for biophysical Chemistry and University of Goettingen, Germany
报告日期:2018-09-12 星期三
报告时间:13:30-14:30
报告地点:光华东主楼1801
  
报告摘要:

In this talk we try to give a general introduction to statistical inverse problems, highlighting commonalities with deterministic inverse problems, specific difficulties, and important examples.   Afterwards we especially focus to deconvolution problems motivated by fluorescence microscopy. Here we present an algorithm, which is able to simultaneously segment an image obtained by a modified fluorescence microscope and to count the number of markers inside the segments while controling the uncertainty. Its performance is demonstrated in simulations and on experimental data.

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本年度学院报告总序号:210

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