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

Three-Dimensional Microscopy in Microbiology01:28

Three-Dimensional Microscopy in Microbiology

Three-dimensional imaging techniques are essential in cell biology, allowing researchers to visualize intricate cellular structures with high resolution. Two prominent methods, Differential Interference Contrast Microscopy (DIC) and Confocal Scanning Laser Microscopy (CSLM), provide distinct advantages for imaging live and thick specimens, respectively.Differential Interference Contrast MicroscopyDIC microscopy enhances contrast in transparent, unstained samples by converting phase...

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

A quantitative pipeline for whole-mount deep imaging and analysis of multi-layered organoids across scales.

eLife·2026
Same author

Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p.

eLife·2025
Same author

Inferring cell differentiation maps from lineage tracing data.

Nature methods·2025
Same author

Fast volumetric fluorescence lifetime imaging of multicellular systems using single-objective light-sheet microscopy.

Communications biology·2025
Same author

Single-cell activation screen identifies hepatic maturation regulators with zonal resolution.

Developmental cell·2025
Same author

A method for analysing tissue motion and deformation during mammalian organogenesis.

PLoS computational biology·2025
Same journal

Editorial: Technologies for RNA Detection.

Bio-protocol·2026
Same journal

One-Step Affinity Purification of MarathonRT Reverse Transcriptase for RNA Sequencing Applications.

Bio-protocol·2026
Same journal

Enhanced RNA-Seq Expression Profiling and Functional Enrichment in Non-model Organisms Using Custom Annotations.

Bio-protocol·2026
Same journal

Using Combined Fluorescent In Situ Hybridization With Immunohistochemistry to Co-localize mRNA in Diverse Neuronal Cell Types.

Bio-protocol·2026
Same journal

Stepwise Protocol for Alternative Splicing Analysis in Single-Cell SMART-Seq2 RNA-Seq Data.

Bio-protocol·2026
Same journal

Enriching Bacteria-Specific RNA From Host Samples Before NGS With Transcript-Capture.

Bio-protocol·2026
查看所有相关文章

相关实验视频

Updated: Jun 3, 2026

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
09:19

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

5.5K

sc3D:用于3D空间转录组分析的全面工具.

Miquel Sendra1, Adriano Bolondi2, Léo Guignard1

  • 1Aix-Marseille Université & CNRS, IBDM-UMR7288 & Turing Centre for Living Systems, Marseille, France.

Bio-protocol
|March 2, 2026
PubMed
概括
此摘要是机器生成的。

sc3D从2D部分重建了3D空间奥米克数据,从而分析了组织中的基因表达连续性. 这个框架允许研究人员可视化和研究整个器官和胚胎中的分子模式.

关键词:
3D重建重建的3D重建纳帕里纳帕里纳帕里纳帕里纳帕里幻灯片-seqqq 在线阅读空间微分表达式空间微分表达式空间转录组学 空间转录组学虚拟的现场混合化.在 sc3D 里面,你会看到 sc3D.

更多相关视频

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq
10:22

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq

Published on: October 31, 2025

655
Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

909

相关实验视频

Last Updated: Jun 3, 2026

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
09:19

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

5.5K
Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq
10:22

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq

Published on: October 31, 2025

655
Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

909

科学领域:

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

背景情况:

  • 串行空间奥米克技术提供2D基因表达数据,但缺乏3D连续性.
  • 重建3D卷对于理解器官和胚胎等复杂生物结构中的分子组织至关重要.

研究的目的:

  • 介绍sc3D,一个开源的Python框架,用于重建和分析体积空间omics数据.
  • 为了实现从串行2D组织截面三维基因表达模式的可视化和分析.

主要方法:

  • sc3D记录了连续的空间转录组段,并将珠子坐标插入3D.
  • 该框架集成了切片对齐,3D重建,可选的低采样和使用napari插件的可视化.
  • 数据存储在与Scanpy兼容的AnnData对象中,用于下游分析.

主要成果:

  • sc3D成功地从小鼠胚胎的Slide-seq和Stereo-seq数据集 (E8.5和E16.5) 中重建了连续组织形态.
  • 该框架恢复了心脏解剖标记,并验证了霍克斯基因表达的前后梯度.
  • 展示了交互式3D可视化和空间差异基因表达分析.

结论:

  • sc3D可在不同样本和平台上进行可重复的3D重建和空间奥米克数据分析.
  • 该工具增强了在发育背景下对组织结构和分子梯度的研究.
  • sc3D支持虚拟现场杂交和空间差异表达分析,以获得全面的生物学见解.