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

Overview Of Cell Separation And Isolation01:20

Overview Of Cell Separation And Isolation

Cell separation was first achieved in 1964 by S. H. Seal, who separated large tumor cells from the smaller blood cells using filtration. Two years later, Pohl and Hawk performed experiments on how cells respond differently to a nonuniform electric field based on the cell type. Such observations were the inception of cell separation methods, which allow isolating a single cell type from a heterogeneous sample.
Blank Solutions00:56

Blank Solutions

A blank solution is a solution that does not contain the analyte, or the substance of interest being tested or measured. It is typically prepared using the same reagents and procedure as the sample solution but without adding the analyte. The primary purpose of preparing a blank solution is to account for any background interference or contamination that may affect the accuracy and reliability of the analytical method.
In some experimental cases, the reagents, solvents, or lab equipment used in...

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

Transcriptional repression by TGIF2 coordinates neurogenic priming and neural stem cell maintenance.

Science advances·2026
Same author

ParTIpy: a scalable framework for archetypal analysis and Pareto task inference.

Molecular systems biology·2026
Same author

Human learning of noninvasive brain-computer interfaces via manifold geometry.

Nature neuroscience·2026
Same author

Echo characterizes the desynchronization of gene expression and chromatin accessibility during cell-state transitions.

bioRxiv : the preprint server for biology·2026
Same author

MYOD1 mutation drives cancer stem cell pathways and therapy-resistance in spindle cell/sclerosing rhabdomyosarcoma.

Nature communications·2026
Same author

anndataR improves interoperability between R and Python in single-cell transcriptomics.

Bioinformatics (Oxford, England)·2026
Same journal

HIV Transmission Dynamics in Greater Mexico City are Shaped by Dense Spatial Mixing.

Research square·2026
Same journal

A UCP1-IRES-Cre Knock-In Mouse Enables Specific Brown Adipocyte Targeting Without CNS Off-Target Expression.

Research square·2026
Same journal

Precision RNAi for Fibrodysplasia Ossificans Progressiva: a combinatorial, unimolecular, allele selective approach.

Research square·2026
Same journal

Perceptions of end-of-life care quality among bereaved closest contacts of community-dwelling older Australians: a cross-sectional survey of the ASPREE cohort.

Research square·2026
Same journal

Heavy-chain immune repertoire sequencing enables language-model prediction of antigen-specific antibodies.

Research square·2026
Same journal

25+ Years of TRPV4: From Discovery to Translational Horizons.

Research square·2026
查看所有相关文章

相关实验视频

Updated: Jun 9, 2026

Workflow for High-content, Individual Cell Quantification of Fluorescent Markers from Universal Microscope Data, Supported by Open Source Software
09:57

Workflow for High-content, Individual Cell Quantification of Fluorescent Markers from Universal Microscope Data, Supported by Open Source Software

Published on: December 16, 2014

13.0K

定义和比较单细胞分析中的未解决问题.

Malte D Luecken1,2, Scott Gigante3, Daniel B Burkhardt4

  • 1Institute of computational Biology, Helmholtz Munich, Neuherberg, Germany.

Research square
|April 22, 2024
PubMed
概括
此摘要是机器生成的。

基准对单细胞分析工具至关重要. 开放问题是一个新的,可扩展的平台,旨在改善该领域的方法评估和开发.

更多相关视频

Single-Cell Quantification of Protein Degradation Rates by Time-Lapse Fluorescence Microscopy in Adherent Cell Culture
12:06

Single-Cell Quantification of Protein Degradation Rates by Time-Lapse Fluorescence Microscopy in Adherent Cell Culture

Published on: February 4, 2018

8.6K
Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging
09:56

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging

Published on: April 30, 2019

6.6K

相关实验视频

Last Updated: Jun 9, 2026

Workflow for High-content, Individual Cell Quantification of Fluorescent Markers from Universal Microscope Data, Supported by Open Source Software
09:57

Workflow for High-content, Individual Cell Quantification of Fluorescent Markers from Universal Microscope Data, Supported by Open Source Software

Published on: December 16, 2014

13.0K
Single-Cell Quantification of Protein Degradation Rates by Time-Lapse Fluorescence Microscopy in Adherent Cell Culture
12:06

Single-Cell Quantification of Protein Degradation Rates by Time-Lapse Fluorescence Microscopy in Adherent Cell Culture

Published on: February 4, 2018

8.6K
Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging
09:56

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging

Published on: April 30, 2019

6.6K

科学领域:

  • 计算生物学 计算生物学
  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.

背景情况:

  • 单细胞分析正在迅速发展,有许多新的工具.
  • 现有的基准缺乏标准化和可扩展性,阻碍了它们的长期实用性.
  • 需要一个统一的平台来指导方法的开发和评估.

研究的目的:

  • 介绍开放问题,一个新的对单细胞分析的基准测试平台.
  • 为评估单细胞方法建立一个标准化和可扩展的框架.
  • 促进社区参与定义和解决单细胞数据分析中的关键挑战.

主要方法:

  • 开发一个活跃的,可扩展的基准测试平台.
  • 包括10个当前的单细胞分析任务.
  • 在社区指导下策划和扩展基准任务.

主要成果:

  • 一个新的平台"开放问题"已经成立.
  • 该平台目前包括10个不同的单细胞分析任务.
  • 该框架是为持续的社区贡献和更新而设计的.

结论:

  • 开放问题旨在提高选择和评估单细胞分析方法的标准.
  • 该平台为单细胞研究社区提供了一个可持续和相关的资源.
  • 预计这一举措将加速单细胞数据分析工具开发方面的创新.