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

Signal and System01:26

Signal and System

658
A signal x(t) is a set of data or a time function representing a variable of interest. Signals typically convey information about a phenomenon, such as atmospheric temperature, humidity, human voice, television images, a dog's bark, or birdsongs. More generally, a signal can be a function of more than one independent variable. For instance, images depend on horizontal and vertical positions and can be regarded as two-dimensional signals. However, this text will focus on one-dimensional...
658

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

Development and validation of a vision transformer model for radiographic assessment of pediatric humeroradial joint alignment.

Journal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology·2026
Same author

Development and validation of a multimodal deep learning model for the radiographic classification of pediatric femoral neck fractures.

Orthopaedics & traumatology, surgery & research : OTSR·2026
Same author

Development and validation of a deep learning model for radiographic classification of pediatric femoral neck fractures.

Journal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology·2026
Same author

Distal biceps tendon repair: immobilization versus early mobilization. A systematic review and meta-analysis.

EFORT open reviews·2026
Same author

A Multi-Omics Approach Reveals Interleukin 1 Beta Priming as a Key Driver of Immunomodulatory and Regenerative Programs in Adipose-Derived Stem Cells for Osteoarthritis Therapy.

Cells·2026
Same author

Author Reply to "Regarding 'Sling Is Not Inferior to Brace Immobilization After Arthroscopic Rotator Cuff Repair: A Randomized Controlled Trial'".

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association·2026

相关实验视频

Updated: Jul 1, 2025

Author Spotlight: Developing a Unique Modular Microphysiological System to Mimic Human Barrier Tissue
06:20

Author Spotlight: Developing a Unique Modular Microphysiological System to Mimic Human Barrier Tissue

Published on: February 16, 2024

1.0K

复杂还是不太复杂? 一个尺寸不适合所有下一代微生理系统.

Simone Bersini1,2,3, Chiara Arrigoni1,2,3, Giuseppe Talò4

  • 1Regenerative Medicine Technologies Lab, Laboratories for Translational Research, Ente Ospedaliero Cantonale, via Chiesa 5, 6500 Bellinzona, Switzerland.

iScience
|March 4, 2024
PubMed
概括

研究人员正在开发先进的微生理系统 (MPS),以解决传统生物模型的局限性. 定制MPS复杂性对于可靠的数据分析和在研究和工业中更广泛的应用至关重要.

关键词:
生物工程是生物工程.生物材料是一种生物材料.

更多相关视频

Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms
08:28

Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms

Published on: March 3, 2023

1.0K
Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device
14:48

Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device

Published on: April 17, 2021

4.0K

相关实验视频

Last Updated: Jul 1, 2025

Author Spotlight: Developing a Unique Modular Microphysiological System to Mimic Human Barrier Tissue
06:20

Author Spotlight: Developing a Unique Modular Microphysiological System to Mimic Human Barrier Tissue

Published on: February 16, 2024

1.0K
Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms
08:28

Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms

Published on: March 3, 2023

1.0K
Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device
14:48

Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device

Published on: April 17, 2021

4.0K

科学领域:

  • 生物技术是生物技术.
  • 在体外建模模型.
  • 器官在芯片上的技术

背景情况:

  • 现有的体外和体外模型已经发现了缺陷.
  • 微生理系统 (MPS) 正在成为先进的替代方案.
  • 早期的MPS包括微流体细胞培养等2.5D系统.

研究的目的:

  • 讨论日益复杂的MPS的发展和挑战.
  • 解决在MPS中提高可复制性,稳定性和数据分析的需求.
  • 建议为特定应用量身定制MPS复杂性,并将不同模型复杂性的数据结合起来.

主要方法:

  • 审查微生理系统的发展,从2.5D到多器官系统.
  • 讨论复杂的MPS复制性,可靠性和数据处理方面的挑战.
  • 探索优化MPS复杂性和整合数据的策略.

主要成果:

  • 微生理系统已经从简单的2.5D结构演变为复杂的多器官芯片设备.
  • 增加的MPS复杂性在标准化和数据解释方面带来了挑战.
  • 量身定制MPS复杂性和整合来自各种模型的数据可以提高预测能力.

结论:

  • 微生理系统的进步需要对复杂性的战略方法.
  • 提高MPS的可复制性和数据分析对于其采用至关重要.
  • 将MPS的复杂性与预期的应用程序相匹配,并将数据源结合起来,将最大限度地提高其实用性.