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

Microbial Biosensors01:17

Microbial Biosensors

88
Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...
88

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

Rethinking solvent regeneration pathways for maritime carbon capture.

Nature communications·2026
Same author

Clinical predictors of <i>BRCA1/2</i> P/LP variants for high-risk breast cancer patients in China: <i>HBRCA-risk prediction</i>.

Frontiers in oncology·2026
Same author

Assessing GPT-4o in cataract surgery decision-making: appropriateness, consistency, and clinical implications.

Frontiers in artificial intelligence·2026
Same author

Excessive Stretching Drives RPE Inflammation and ECM Remodeling in Ectopia Lentis Retinopathy.

International journal of molecular sciences·2026
Same author

Tunable acoustic rotation for deep biophysical phenotyping of preclinical Alzheimer's disease.

Materials today. Bio·2026
Same author

Brain Organoids, Lessons from Fetal Neocortex Formation, and Rational Design for Quality Control.

bioRxiv : the preprint server for biology·2026
Same journal

Controlled encapsulation and droplet size prediction in two-step microfluidic double emulsions.

Lab on a chip·2026
Same journal

A particulate blood-mimicking fluid with physiological biconcave geometry for microscale hemorheology.

Lab on a chip·2026
Same journal

Multicellular sensor arrays fabricated by capillary stamping for pattern-based odor discrimination.

Lab on a chip·2026
Same journal

A real-time microfluidic surveillance system for multiplex detection of heavy metal contamination in wastewater.

Lab on a chip·2026
Same journal

Vision-guided parallel manipulation of cells with optoelectronic tweezers.

Lab on a chip·2026
Same journal

Review of nanofluidic mass transport systems: engineering through physicochemical fields and interfacial properties.

Lab on a chip·2026
查看所有相关文章

相关实验视频

Updated: May 3, 2026

Fluorescence detection methods for microfluidic droplet platforms
14:16

Fluorescence detection methods for microfluidic droplet platforms

Published on: December 10, 2011

22.2K

一个微流体微藻检测系统用于基于对象检测算法的细胞生理反应.

Shizheng Zhou1,2, Tianhui Chen1, Edgar S Fu3

  • 1School of Computer Science and Technology, Hainan University, Haikou 570228, China. yanhong@hainanu.edu.cn.

Lab on a chip
|April 29, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的计算机视觉和微流体学方法,用于对微藻进行高通量单细胞分析,这对于海洋环境监测和珊瑚健康至关重要. 优化的模型在识别Symbiodiniaceae细胞状态和热反应方面达到95%以上的准确性.

更多相关视频

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.3K
In Situ Microscopy for Real-time Determination of Single-cell Morphology in Bioprocesses
07:26

In Situ Microscopy for Real-time Determination of Single-cell Morphology in Bioprocesses

Published on: December 5, 2019

7.9K

相关实验视频

Last Updated: May 3, 2026

Fluorescence detection methods for microfluidic droplet platforms
14:16

Fluorescence detection methods for microfluidic droplet platforms

Published on: December 10, 2011

22.2K
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.3K
In Situ Microscopy for Real-time Determination of Single-cell Morphology in Bioprocesses
07:26

In Situ Microscopy for Real-time Determination of Single-cell Morphology in Bioprocesses

Published on: December 5, 2019

7.9K

科学领域:

  • 海洋生物学 海洋生物学
  • 微藻生态学 微藻生态学
  • 计算生物学是一种计算生物学.

背景情况:

  • 微藻物种组成和生理状态是海洋环境的关键指标.
  • 与珊瑚共生的Symbiodiniaceae对环境变化敏感.
  • 目前基于人口的方法缺乏单细胞分辨率,缺少细胞异质性和状态过渡.

研究的目的:

  • 开发一种自动化,高通量方法,用于无标签,单细胞微藻识别和生理状态评估.
  • 通过专注于单个细胞动态来克服基于人口的分析的局限性.
  • 研究Symbiodiniaceae的热敏感性和新型过渡状态.

主要方法:

  • 计算机视觉,微流体学,微观图像处理和卷积神经网络的整合.
  • 优化数据处理,训练协议和模型架构,用于微米级对象识别.
  • 开发一个无,自动化系统,用于微藻的检测和分析.

主要成果:

  • 在微藻多重分类和生理状态评估中达到>95%的平均精度.
  • 成功发现了一种新的微藻过渡状态.
  • 描述了三种Symbiodiniaceae菌株的热敏度,观察高温下细胞热冲击反应.

结论:

  • 开发的方法使微藻的精确,高通量单细胞分析成为可能.
  • 对Symbiodiniaceae热敏度和过渡状态的发现为珊瑚生态系统健康和早期预警系统提供了洞察力.
  • 这项技术促进了微藻研究和环境监测能力的发展.