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Advances of super-resolution fluorescence polarization microscopy and its applications in life sciences.
Chen, Long; Chen, Xingye; Yang, Xusan; He, Chao; Wang, Miaoyan; Xi, Peng; Gao, Juntao.
Afiliação
  • Chen L; Department of Automation, Tsinghua University, 100084 Beijing, China.
  • Chen X; MOE Key Laboratory of Bioinformatics; Bioinformatics Division, Center for Synthetic & Systems Biology, BNRist; Center for Synthetic & Systems Biology, Tsinghua University, 100084 Beijing, China.
  • Yang X; Department of Automation, Tsinghua University, 100084 Beijing, China.
  • He C; Department of Biomedical Engineering, College of Engineering, Peking University, Beijing 100871, China.
  • Wang M; Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, UK.
  • Xi P; Department of Biomedical Engineering, College of Engineering, Peking University, Beijing 100871, China.
  • Gao J; Department of Biomedical Engineering, College of Engineering, Peking University, Beijing 100871, China.
Comput Struct Biotechnol J ; 18: 2209-2216, 2020.
Article em En | MEDLINE | ID: mdl-32952935
ABSTRACT
Fluorescence polarization microscopy (FPM) analyzes both intensity and orientation of fluorescence dipole, and reflects the structural specificity of target molecules. It has become an important tool for studying protein organization, orientational order, and structural changes in cells. However, suffering from optical diffraction limit, conventional FPM has low orientation resolution and observation accuracy, as the polarization information is averaged by multiple fluorescent molecules within a diffraction-limited volume. Recently, novel super-resolution FPMs have been developed to break the diffraction barrier. In this review, we will introduce the recent progress to achieve sub-diffraction determination of dipole orientation. Biological applications, based on polarization analysis of fluorescence dipole, are also summarized, with focus on chromophore-target molecule interaction and molecular organization.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article