Search research articles

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

Artificial Intelligence for Discovery in Life Sciences.

Bioconjugate chemistry·2026

Same author

Transcriptomic crossroads: Decoding genes and pathways that connect alopecia areata with chronic inflammatory skin disorders.

JID innovations : skin science from molecules to population health·2026

Same author

Do Alopecia Areata and Hair Colour Have a Shared Genetic Component?

Experimental dermatology·2026

Same author

Thousandfold Expansion Microscopy.

bioRxiv : the preprint server for biology·2026

Same author

Scalable Boltzmann generators for equilibrium sampling of large-scale materials.

Nature communications·2026

Same author

A versatile nanobody platform for live and super-resolution imaging of synaptic vesicle dynamics and plasticity in rodent and human neurons.

Journal of nanobiotechnology·2026

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

Search research articles

相关实验视频

Updated: Jul 8, 2025

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples

Published on: April 7, 2023

蛋白质纳米码可以实现单步复杂光成像.

Daniëlle de Jong-Bolm¹, Mohsen Sadeghi², Cristian A Bogaciu¹

¹Department of Neuro- and Sensory physiology, University of Göttingen Medical Center, Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), Göttingen, Germany.

|December 11, 2023

概括

我们开发了蛋白质纳米码,用于高效的多重化细胞成像. 这种新的方法使用纳米体和深度学习在复杂的生物测试中精确识别蛋白质.

更多相关视频

Genetic Barcoding with Fluorescent Proteins for Multiplexed Applications

Genetic Barcoding with Fluorescent Proteins for Multiplexed Applications

Published on: April 14, 2015

High-Throughput Automated Multiplex Immunofluorescence Assays for Translational Research

High-Throughput Automated Multiplex Immunofluorescence Assays for Translational Research

Published on: June 10, 2025

相关实验视频

Last Updated: Jul 8, 2025

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples

Published on: April 7, 2023

Genetic Barcoding with Fluorescent Proteins for Multiplexed Applications

Genetic Barcoding with Fluorescent Proteins for Multiplexed Applications

Published on: April 14, 2015

High-Throughput Automated Multiplex Immunofluorescence Assays for Translational Research

High-Throughput Automated Multiplex Immunofluorescence Assays for Translational Research

Published on: June 10, 2025

科学领域:

生物技术是生物技术.
分子生物学分子生物学
细胞成像细胞成像

背景情况:

多复合细胞成像通常涉及复杂的,连续的探头应用.
使用抗体或DNA条形码的现有方法耗时.

研究的目的:

开发一种简化方法来检测和识别多重蛋白质.
为了在单个步骤中精确分析大量的蛋白质组合.

主要方法:

使用表位组合和特定的纳米体开发了蛋白质纳米码.
使用纳米体与不同的光体结合,用于单个成像步骤.
将深度神经网络应用于光图像以识别蛋白质.

主要成果:

使用纳米条码的光图像实现了精确的蛋白质识别.
证明了一种高效且简单的蛋白质识别方法.
成功地将该方法应用于与神经素和神经素异型的多细胞竞争试验.

结论:

蛋白质纳米码为复杂的多重细胞成像提供了有效的解决方案.
基于深度学习的方法使高精度的蛋白质识别成为可能.
这种方法适用于各种生物测定,包括异形结合研究.