超级切割 (SuperCUT) 是一种无监督的多模式图像注册系统,用于生物医学显微镜的深度学习

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Istvan Grexa1,2, Zsanett Zsófia Iván1,3, Ede Migh1

  • 1Synthetic and Systems Biology Unit, Biological Research Centre (BRC), Temesvári körút 62, Szeged 6726.

Briefings in bioinformatics
|March 14, 2024
PubMed
概括

我们开发了一种无监督的深度学习管道,用于多式模式的图像注册,这对于分析生物样本至关重要. 这种方法的准确性与监督技术相提并论,不需要专家注释.

关键词:
相关显微镜的相关显微镜.深度学习是一种深度学习.显微镜 显微镜是指使用显微镜.无人监督的多式联运模式图像登记

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Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

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 developed.