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在无序媒体中以数据驱动的超分辨率成像

Alexander Christie1, Matan Leibovich2, Miguel Moscoso3

  • 1Department of Mathematics, Stanford University, Stanford, CA 94305.

Proceedings of the National Academy of Sciences of the United States of America
|January 2, 2026
PubMed
概括

No abstract available in PubMed .

关键词:
进行成像神经网络随机媒体稀少的字典学习超级分辨率

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Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
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