5D superresolution imaging for a live cell nucleus

被引：3

作者：

Chu, Li-An ^{[1
,2
]}

Chang, Shu-Wei ^{[3
]}

Tang, Wei-Chun ^{[3
]}

Tseng, Yu-Ting ^{[3
]}

Chen, Peilin ^{[3
]}

Chen, Bi-Chang ^{[2
,3
]}

机构：

[1] Natl Tsing Hua Univ, Dept Biomed Engn & Environm Sci, Hsinchu 30013, Taiwan

[2] Natl Tsing Hua Univ, Brain Res Ctr, Hsinchu 30013, Taiwan

[3] Acad Sinica, Res Ctr Appl Sci, Taipei 11529, Taiwan

来源：

CURRENT OPINION IN GENETICS & DEVELOPMENT | 2021年 / 67卷

关键词：

LIGHTSHEET LOCALIZATION MICROSCOPY; STIMULATED-EMISSION; LIVING CELLS; DNA; NANOSCOPY; PROTEINS; REVEALS; RECONSTRUCTION; BREAKING; SENSOR;

D O I：

10.1016/j.gde.2020.11.005

中图分类号：

Q2 [细胞生物学];

学科分类号：

071009 ; 090102 ;

摘要：

With a spatial resolution breaking the diffraction limit of light, superresolution imaging allows the visualization of detailed structures of organelles such as mitochondria, cytoskeleton, nucleus, and so on. With multi-dimensional imaging (x, y, z, t, lambda), namely, multi-color 3D live imaging enables us fully understand the function of the cell. It is necessary to analyze structural changes or molecular interactions across a large volume in 3D with different labelled targets. To achieve this goal, scientists recently have expanded the original 2D superresolution microscopic tools into 3D imaging techniques. In this review, we will discuss recent development in superresolution microscopy for live imaging with minimal phototoxicity. We will focus our discussion on the cell nucleus where the genetic materials are stored and processed. Machine learning algorism will be introduced to improve the axial resolution of superresolution imaging.

引用

页码：77 / 83

页数：7

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