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

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

Demonstration of fuel PLIF in a model solid fuel ramjet combustor.

Applied optics·2025
Same author

Particle-free velocity and temperature field imaging using krypton laser-induced fluorescence.

Optics letters·2025
Same author

Suspended sediment load prediction using sparrow search algorithm-based support vector machine model.

Scientific reports·2024
Same author

Carbon nanofibers/liquid metal composites for high temperature laser ultrasound.

Ultrasonics·2024
Same author

Flood discharge prediction using improved ANFIS model combined with hybrid particle swarm optimisation and slime mould algorithm.

Environmental science and pollution research international·2023
Same author

Prediction of Flood Discharge Using Hybrid PSO-SVM Algorithm in Barak River Basin.

MethodsX·2023
Same journal

A light and modular glovebox for hazardous material machining.

HardwareX·2026
Same journal

A programmable benchtop photocrosslinking chamber for controlled bioconjugation.

HardwareX·2026
Same journal

Design of an onboard computer for small experimental rockets with an integrated hardware-in-the-loop validation framework.

HardwareX·2026
Same journal

Corrigendum to "An alternative linear impactor for impact research" [HardwareX 25 (2026) e00742].

HardwareX·2026
Same journal

Low-cost embedded system for spectral power distribution reconstruction for controlled environmental agriculture using a multispectral sensor and cloud-based deep learning.

HardwareX·2026
Same journal

Octopus: A low-cost, modular environmental sensing platform for makers.

HardwareX·2026
查看所有相关文章

相关实验视频

Updated: Jan 8, 2026

Simultaneously Capturing Real-time Images in Two Emission Channels Using a Dual Camera Emission Splitting System: Applications to Cell Adhesion
10:30

Simultaneously Capturing Real-time Images in Two Emission Channels Using a Dual Camera Emission Splitting System: Applications to Cell Adhesion

Published on: September 4, 2013

9.9K

低成本的开源相机视图分割器 (四光镜) 用于流量诊断.

Abinash Sahoo1, Ryan D DeBoskey1, Venkateswaran Narayanaswamy1

  • 1Department of Mechanical and Aerospace Engineering, NC State University, Raleigh, NC 27695, USA.

HardwareX
|December 23, 2025
PubMed
概括
此摘要是机器生成的。

研究人员开发了一个开源的,低成本的摄像头视图分割器用于流体动力学研究. 这种设备使得每台摄像机可以拍摄多张图像,降低了成本,加速了热流体现象的科学发现.

关键词:
通过3D打印打印3D打印.在这里,我们可以做点什么?做点什么?做点什么?做点什么?图像乘法器图像乘法器测火仪测量是指测火仪的使用方法.四角望远镜的使用方法查看分隔器的视图

更多相关视频

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
13:02

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

Published on: February 27, 2016

12.9K
How to Build a Laser Speckle Contrast Imaging LSCI System to Monitor Blood Flow
05:24

How to Build a Laser Speckle Contrast Imaging LSCI System to Monitor Blood Flow

Published on: November 11, 2010

24.5K

相关实验视频

Last Updated: Jan 8, 2026

Simultaneously Capturing Real-time Images in Two Emission Channels Using a Dual Camera Emission Splitting System: Applications to Cell Adhesion
10:30

Simultaneously Capturing Real-time Images in Two Emission Channels Using a Dual Camera Emission Splitting System: Applications to Cell Adhesion

Published on: September 4, 2013

9.9K
Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
13:02

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

Published on: February 27, 2016

12.9K
How to Build a Laser Speckle Contrast Imaging LSCI System to Monitor Blood Flow
05:24

How to Build a Laser Speckle Contrast Imaging LSCI System to Monitor Blood Flow

Published on: November 11, 2010

24.5K

科学领域:

  • 光学工程是指光学工程.
  • 流体动力学 流体动力学
  • 实验物理实验物理学

背景情况:

  • 多变量和多维测量对于研究复杂的热流体现象至关重要.
  • 目前的视图分割方法依赖于昂贵的商用镜头或定制设计的组件,限制了研究.
  • 通过视图分割来减少摄像头数量,为先进的成像提供了一个具有成本效益的解决方案.

研究的目的:

  • 提供一个开源的,低成本的,通用的摄像头视图分割器设计.
  • 为了增强数据采集,每台摄像机最多可提供四个视图.
  • 为了更轻松地与标准光学元件和定制应用程序集成.

主要方法:

  • 开发了一个通用视图分割器的开源设计.
  • 提供定制零件,方便组装和与标准光学元件集成.
  • 包括用于各种方向 (例如断层扫描) 和光谱过集成的文件.

主要成果:

  • 图像映射质量,抛物线角度,像素密度和不同物体距离的视野 (FOV) 的特征.
  • 验证了视图分割器在甲/空气火焰上的性能,以便同时进行高速成像.
  • 在实践实验设置中证明了定量测量能力.

结论:

  • 开源的视图分割器设计为昂贵的商业系统提供了低成本的替代方案.
  • 这种组装使先进的成像能力获得民主化,加速了诊断方面的进展.
  • 该设计支持多变量和多维测量,这对于流体动力学研究至关重要.