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Super-resolution Fluorescence Microscopy

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...

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Updated: Jul 10, 2025

Super-resolution Imaging of the Bacterial Division Machinery

Super-resolution Imaging of the Bacterial Division Machinery

Published on: January 21, 2013

迈向定量超分辨率显微镜:具有统计保障的分子地图.

Katharina Proksch¹, Frank Werner², Jan Keller-Findeisen³

¹Faculty of Electrical Engineering, Mathematics and Computer Science, Universiteit Twente, Zilverling 2098, Enschede 7500, The Netherlands.

Microscopy (Oxford, England)

|November 21, 2023

概括

此摘要是机器生成的。

这项研究引入了超分辨率显微镜的新算法,以准确计算细胞生物学图像中的分子. 它提供了可靠的分子计数与统计保证,创建一个分子地图与受控的错误.

关键词:

异常常态的正常性.进行计数,计数.家庭智能错误率的错误率多重性调整的调整是多重性的调整.

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Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy

Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy

Published on: March 6, 2018

Ground State Depletion Super-resolution Imaging in Mammalian Cells

Ground State Depletion Super-resolution Imaging in Mammalian Cells

Published on: November 5, 2017

相关实验视频

Last Updated: Jul 10, 2025

Super-resolution Imaging of the Bacterial Division Machinery

Super-resolution Imaging of the Bacterial Division Machinery

Published on: January 21, 2013

Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy

Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy

Published on: March 6, 2018

Ground State Depletion Super-resolution Imaging in Mammalian Cells

Ground State Depletion Super-resolution Imaging in Mammalian Cells

Published on: November 5, 2017

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:

精确量化分子在细胞生物学和医学研究中至关重要.
光显微镜,特别是超分辨率技术,提供高分辨率成像,但需要强大的量化方法.

研究的目的:

用超分辨率显微镜开发和验证一种用于精确分子计数的新算法.
通过非对称的置信区间为分子计数提供统计保证.
为了生成具有统一错误控制的分子地图.

主要方法:

一个连续的算法,结合了多尺度扫描和STED显微镜的通用细分.
应用多尺度扫描程序来识别含有分子的高概率区域.
混合化与通用细分算法来改进区域和减少冗余.
使用多个光子巧合测量在共聚焦模式的亮度和分子数量估计.

主要成果:

该算法成功地量化了自动生成的图像段中的分子数.
为分子计数提供了以非对称的置信区间形式的统计保证.
建立了一个具有统一错误控制的分子地图,在模拟和真实数据上进行验证.

结论:

开发的算法为超分辨率显微镜中精确分子量化提供了强大的方法.
该方法提供可靠的统计置信区间,提高分子计数的可靠性.
这种技术通过使精确的分子绘图能够推进定量细胞生物学和医学研究.