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Phase Contrast and Differential Interference Contrast Microscopy01:26

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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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The wavelengths of visible light ultimately limit the maximum theoretical resolution of images created by light microscopes. Most light microscopes can only magnify 1000X, and a few can magnify up to 1500X. Electrons, like electromagnetic radiation, can behave like waves, but with wavelengths of 0.005 nm, they produce significantly greater resolution up to 0.05 nm as compared to 500 nm for visible light. An electron microscope (EM) can create a sharp image that is magnified up to 2,000,000X.
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A scanning electron microscope (SEM) is used to study the surface features of a sample by using an electron beam that scans the sample surface in a two-dimensional manner. Typically, areas between ~1 centimeter to 5 micrometers in width can be imaged. SEM can be used to image bacteria, viruses, tissues as well as larger samples like insects. Conventional SEM gives a magnification ranging from 20X to 30,000X and spatial resolution of 50 to 100 nanometers.
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High Content Screening in Neurodegenerative Diseases
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基于显微镜的高含量查

Michael Boutros1, Florian Heigwer2, Christina Laufer2

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概括
此摘要是机器生成的。

基于图像的选与扰动相结合, 提供了对生物过程的有力洞察力. 在成像和分析方面取得的进步加速了大规模的研究,

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科学领域:

  • * 细胞和生物生物学
  • * 高含量查和成像
  • * 基因组工程和功能基因组学

背景情况:

  • * 基于图像的查量化细胞和生物体中的表型.
  • 像RNA干扰和小分子这样的干扰增强了系统的生物学洞察力.
  • * 应用范围包括蛋白质定位,癌症脆弱性和生物体表型.

研究的目的:

  • * 审查基于图像的查的最新情况.
  • * 确定实验方法和图像分析方法.
  • 讨论包括CRISPR/Cas9在内的挑战和未来方向.

主要方法:

  • * 使用基于图像的各种干扰 (RNAi,小分子,突变) 的选.
  • * 采用用于大型屏幕的先进成像和图像分析方法.
  • *强调了CRISPR/Cas9基因组工程的整合.

主要成果:

  • 基于图像的查提供了对生物过程的系统洞察力.
  • 最近的进展加速了大规模的干扰屏幕.
  • 讨论该技术的现有能力和局限性.

结论:

  • 基于图像的查是生物发现的强大工具.
  • 在成像和分析方面不断的进步至关重要.
  • *CRISPR/Cas9的整合有望扩展应用.