Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
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 JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

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

Isolation and Purification-Free Digital Single-Small Extracellular Vesicle Biosensing with Scalable Plasmonic Arrays.

bioRxiv : the preprint server for biology·2026
Same author

The enduring value of bone marrow morphology in kala-azar amid molecular distractions.

Tropical doctor·2025
Same author

Microfluidic nano-plasmonic imaging platform for purification- and label-free single small extracellular vesicle characterization.

Npj biosensing·2025
Same author

In-silico neuro-musculoskeletal model demonstrates spasticity progression with descending motor tracts loss in simulated clinical triage.

Computers in biology and medicine·2025
Same author

An EEG signal smoothing algorithm using upscale and downscale representation<sup></sup>.

Journal of neural engineering·2025
Same author

Harnessing promoter elements to enhance gene editing in plants: perspectives and advances.

Plant biotechnology journal·2025

相关实验视频

Updated: May 16, 2025

Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets
06:12

Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets

Published on: March 17, 2023

1.3K

微流体纳米等离子体成像平台用于净化和无标签的单个小细胞外囊细胞计数.

Omid Mohsen Daraei, Avinash Kumar Singh, Saswat Mohapatra

    bioRxiv : the preprint server for biology
    |April 1, 2025
    PubMed
    概括

    这项研究引入了一种新的微流体芯片,用于无标签,单个小细胞外囊泡 (sEV) 在血中计数. 这种无净化方法为疾病诊断提供了敏感和有效的循环sEV检测.

    科学领域:

    • 生物医学工程 生物医学工程
    • 纳米技术纳米技术
    • 临床诊断 临床诊断 临床诊断

    背景情况:

    • 循环的小细胞外囊泡 (sEVs) 是有希望的疾病诊断的非侵入性生物标志物.
    • 在复杂血中对sEV的定量检测具有挑战性,通常需要大量的样本准备.
    • 目前用于sEV分析的方法可能耗时且容易出现手动错误.

    研究的目的:

    • 开发一种无净化方法,用于在血中进行敏感和高效的单个sEV计数.
    • 为了证明微流体芯片与Plasmonic纳米孔径无标签成像 (PANORAMA) 集成的微流体芯片对于sEV检测的实用性.
    • 建立一个快速和自动化的平台来分析流通中的SEV.

    主要方法:

    • 一个微流体芯片功能化CD63,CD9和CD81抗体在无形基板上排列的金纳米盘上 (AGNIS) 已开发用于选择性SEV捕获.
    • 该芯片与PANORAMA集成,用于无标签,单次sEV计数.
    • 一个自动化平台允许精确控制流量参数,并在60分钟内对20μL血样本进行分析.

    主要成果:

    • 开发的平台实现了无标签,单个sEV直接从血中计数,无需净化.
    • 该系统在检测循环中的sEV方面表现出高灵敏度和效率.

    更多相关视频

    Rapid Fluorescence-based Characterization of Single Extracellular Vesicles in Human Blood with Nanoparticle-tracking Analysis
    09:16

    Rapid Fluorescence-based Characterization of Single Extracellular Vesicles in Human Blood with Nanoparticle-tracking Analysis

    Published on: January 7, 2019

    9.7K
    Using Nanoplasmon-Enhanced Scattering and Low-Magnification Microscope Imaging to Quantify Tumor-Derived Exosomes
    09:30

    Using Nanoplasmon-Enhanced Scattering and Low-Magnification Microscope Imaging to Quantify Tumor-Derived Exosomes

    Published on: May 24, 2019

    7.3K

    相关实验视频

    Last Updated: May 16, 2025

    Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets
    06:12

    Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets

    Published on: March 17, 2023

    1.3K
    Rapid Fluorescence-based Characterization of Single Extracellular Vesicles in Human Blood with Nanoparticle-tracking Analysis
    09:16

    Rapid Fluorescence-based Characterization of Single Extracellular Vesicles in Human Blood with Nanoparticle-tracking Analysis

    Published on: January 7, 2019

    9.7K
    Using Nanoplasmon-Enhanced Scattering and Low-Magnification Microscope Imaging to Quantify Tumor-Derived Exosomes
    09:30

    Using Nanoplasmon-Enhanced Scattering and Low-Magnification Microscope Imaging to Quantify Tumor-Derived Exosomes

    Published on: May 24, 2019

    7.3K
  • 自动化微流体方法最大限度地减少了手动错误,并标准化了分析过程.
  • 结论:

    • 这种与 PANORAMA 集成的无净化微流体芯片提供了一种灵敏而高效的工具,用于检测循环中的 sEV.
    • 该平台具有通过sEV生物标志物分析推进非侵入性疾病诊断的巨大潜力.
    • 对小型血体积的自动化,快速分析为临床应用提供了切实可行的解决方案.