Search research articles

关于 JoVE

概览领导团队博客 JoVE 帮助中心

作者

出版流程编辑委员会范围与政策同行评审常见问题投稿

图书馆员

用户评价订阅访问资源图书馆顾问委员会常见问题

研究

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

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...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序

Same author

Evaluation of Polyphenolic Compounds Common in Greek Medicinal Plants for Their Antioxidant Effects and Antiviral Activity Against Dengue and Yellow Fever Viruses.

Antioxidants (Basel, Switzerland)·2025

Same author

Individual-based modeling unravels spatial and social interactions in bacterial communities.

The ISME journal·2025

Same author

Recursive Objective Space Exploration (ROSE): A computationally efficient deterministic approach for bi-objective optimization.

PloS one·2025

Same author

Individual-based modelling (IbM) in food microbiology: A comprehensive guideline.

Food research international (Ottawa, Ont.)·2025

Same author

Accelerated enumeration of extreme rays through a positive-definite elementarity test.

Bioinformatics (Oxford, England)·2024

Same author

Radio frequency-only thermal processing of skimmed milk powder: Case study on the influence of RF heating profile on quality and <i>Salmonella</i> Typhimurium inactivation.

Food science and technology international = Ciencia y tecnologia de los alimentos internacional·2024

Search research articles

相关实验视频

Updated: May 10, 2025

Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper

Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper

Published on: April 9, 2017

一个离散的重叠分辨算法 (DORA),用于解决微生物个体模型中的空间重叠.

Ihab Hashem¹, Jian Wang¹, Jan F M Van Impe¹

¹KU Leuven, Chemical Engineering Department, BioTeC & OPTEC, Ghent, Belgium.

PLoS computational biology

|April 21, 2025

概括

针对微生物生长的基于个体的建模 (IbM) 是计算密集的. 一个新的离散重叠分辨算法 (DORA) 显著提高了模拟大微生物群体的效率.

科学领域:

微生物生态学微生物生态学
生物化学工程生物化学工程
计算生物学计算生物学

背景情况:

基于个体的建模 (IbM) 模拟了空间微生物生长,但面临着计算方面的挑战.
解决单个细胞之间的空间重叠是传统IBM方法的一个主要瓶.

研究的目的:

引入一种新的算法,即离散重叠分辨算法 (DORA),以提高IBM的计算效率.
克服传统对对比方法的局限性,用于管理大种群中的细胞重叠.

主要方法:

DORA采用基于网格的框架来分离模拟空间,并将单元分配给网格单元.
这将计算密集的对对比转化为高效的基于网格的操作.

主要成果:

DORA显著降低了计算负载,特别是在大型微生物群体中.
与传统方法相比,模拟显示了DORA在捕获微生物生长动态方面的卓越效率和准确性.

结论:

在实际的时间框架内,DORA能够有效地建模人口密集的微生物群落.
该算法扩大了微生物系统基于个体的建模的范围和适用性.

更多相关视频

Super-resolution Imaging of Neuronal Dense-core Vesicles

Super-resolution Imaging of Neuronal Dense-core Vesicles

Published on: July 2, 2014

Direct Stochastic Optical Reconstruction Microscopy of Extracellular Vesicles in Three Dimensions

Direct Stochastic Optical Reconstruction Microscopy of Extracellular Vesicles in Three Dimensions

Published on: August 26, 2021

相关实验视频

Last Updated: May 10, 2025

Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper

Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper

Published on: April 9, 2017

Super-resolution Imaging of Neuronal Dense-core Vesicles

Super-resolution Imaging of Neuronal Dense-core Vesicles

Published on: July 2, 2014

Direct Stochastic Optical Reconstruction Microscopy of Extracellular Vesicles in Three Dimensions

Direct Stochastic Optical Reconstruction Microscopy of Extracellular Vesicles in Three Dimensions

Published on: August 26, 2021