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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 19, 2025

Conducting Multiple Imaging Modes with One Fluorescence Microscope

Conducting Multiple Imaging Modes with One Fluorescence Microscope

Published on: October 28, 2018

快速光EEM光谱使用超循环哈达马德转换多重复合.

Travis Ferguson¹, Hans-Peter Loock²

¹Department of Chemistry, Queen's University, Kingston K7L3N6, Ontario, Canada.

Analytical chemistry

|August 15, 2023

概括

此摘要是机器生成的。

哈达马德变换 (HT) 复合显著加速光激发发射矩阵 (EEM) 光谱. 新的数据处理方法进一步提高了数量级的获取率,使得化学分析得以迅速进行.

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相关实验视频

Last Updated: Jul 19, 2025

Conducting Multiple Imaging Modes with One Fluorescence Microscope

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Published on: October 28, 2018

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

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Published on: December 9, 2013

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科学领域:

频谱学是一种光谱学.
分析化学分析化学
多变量数据分析多变量数据分析

背景情况:

哈达马德变换 (HT) 复杂化减少了光激发发射矩阵 (EEM) 光谱中的数据采集时间.
之前的方法仅限于记录完整的EEM周期的时间.
化学信息提取依赖于EEM序列的并行因子分析 (PARAFAC).

研究的目的:

以另一种数量级增加HT多重化EEM光谱的数据采集率.
开发一个改进的数据处理算法,适用于现有的HT多重化数据.
为了能够更快地从光谱数据中提取化学信息.

主要方法:

开发了一种基于对原始,多重复合数据的改进数据处理的新算法.
直接将PARAFAC多变量分析应用到原始 (多变量) 数据集中.
在依赖时间的得分向量之前获得了独立于时间的PARAFAC负载向量,使用滚动平均方法来获得稳定性.

主要成果:

实现了数据采集速度,仅限于单个激发频谱的记录时间.
证明了该算法的适用于以前记录的HT多重复合数据集.
在不到20毫秒的时间内,获得的光EM得分具有7个激发和1000多个发射波长.

结论:

新的数据处理算法显著提高了HT多重复合EEM光谱的速度.
这一进步允许从复杂的光谱数据中快速获取化学信息.
该方法是稳固的,适用于现有的数据集,加速化学分析工作流程.