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Imaging Biological Samples with Optical Microscopy

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...

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相关实验视频

Updated: Jan 11, 2026

Application of Membrane and Cell Wall Selective Fluorescent Dyes for Live-Cell Imaging of Filamentous Fungi

Application of Membrane and Cell Wall Selective Fluorescent Dyes for Live-Cell Imaging of Filamentous Fungi

Published on: November 28, 2019

微生物:用于定量活细胞单分子显微镜的图像处理工具包.

Luis U Aguilera¹, William S Raymond², Rhiannon M Sears¹

¹Department of Biochemistry and Molecular Genetics, University of Colorado-Anschutz Medical Campus, 80045, CO, USA.

bioRxiv : the preprint server for biology

|November 19, 2025

概括

此摘要是机器生成的。

研究人员现在可以更容易地用开源Python应用程序MicroLive量化活细胞显微镜图像. 这个工具简化了复杂的数据分析,以实时可视化mRNA和蛋白质等单个分子.

关键词:

自相对应函数自相对应函数定位化,定位化的地方.图像处理是图像处理的过程.活细胞成像技术使用.单个分子追踪系统转录转录是一种转录.翻译翻译翻译翻译翻译翻译

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Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

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Published on: September 5, 2019

Integrative Toolkit to Analyze Cellular Signals: Forces, Motion, Morphology, and Fluorescence

Integrative Toolkit to Analyze Cellular Signals: Forces, Motion, Morphology, and Fluorescence

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相关实验视频

Last Updated: Jan 11, 2026

Application of Membrane and Cell Wall Selective Fluorescent Dyes for Live-Cell Imaging of Filamentous Fungi

Application of Membrane and Cell Wall Selective Fluorescent Dyes for Live-Cell Imaging of Filamentous Fungi

Published on: November 28, 2019

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Published on: September 5, 2019

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Integrative Toolkit to Analyze Cellular Signals: Forces, Motion, Morphology, and Fluorescence

Published on: March 5, 2022

科学领域:

细胞生物学细胞生物学
生物物理学的生物物理.
显微镜的使用方法

背景情况:

活细胞光显微镜允许实时可视化单个分子 (例如mRNA,新生蛋白质) 的高分辨率.
分析这些实验产生的大型数据集需要复杂的计算管道,这对许多研究人员来说是一个障碍.

研究的目的:

介绍MicroLive,一个开源的Python应用程序,具有图形用户界面 (GUI),旨在简化活细胞显微镜图像的量化.
为研究人员提供一种可访问的工具来分析复杂的显微镜数据.

主要方法:

开发MicroLive,一个基于Python的交互式GUI应用程序.
实现关键的图像分析任务:细胞细分,光漂白校正,单颗粒检测/跟踪,点强度量化,通道间的局部化和时间序列相关性分析.
使用rSNAPed工具包和U-2 OS细胞显微镜图像生成的合成活细胞成像数据进行验证.

主要成果:

通过直观的GUI,MicroLive成功地执行了基本的图像量化任务.
使用合成数据进行的测试证明了精确提取生物相关参数.
在U-2 OS细胞的真实显微镜数据上证明了应用.

结论:

MicroLive显著降低了对活细胞显微镜数据的定量分析的技术障碍.
这种开源应用程序可在活细胞中实时进行单分子可视化和分析.
在GitHub上,MicroLive可以在GPLv3许可证下使用.