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

ATP Driven Pumps I: An Overview01:27

ATP Driven Pumps I: An Overview

9.9K
ATP-driven pumps, also known as transport ATPases, are integral membrane proteins. They have binding sites for ATP located on the membrane's cytosolic side and the ion-conducting domain in the transmembrane region. These pumps use the free energy released from ATP hydrolysis to move the solutes across cell membranes against an electrochemical gradient.
There are four main types of ATP-driven pumps - P-type, V-type, F-type, and ABC transporter. All these pumps are of varying complexities and...
9.9K
Xylem and Transpiration-driven Transport of Resources02:03

Xylem and Transpiration-driven Transport of Resources

26.8K
The xylem of vascular plants distributes water and dissolved minerals that are taken up by the roots to the rest of the plant. The cells that transport xylem sap are dead upon maturity, and the movement of xylem sap is a passive process.
26.8K
ATP Driven Pumps II: P-type Pumps01:34

ATP Driven Pumps II: P-type Pumps

6.4K
The P-type pumps are a large family of integral membrane transporter ATPases. They are divided into five major types based on substrate specificity, from I to V.
A typical P-type pump has three cytosolic domains: nucleotide-binding (N), phosphorylation (P), and activator (A) domains. These domains are connected to the membrane-spanning helices by short amino acid segments. ATP hydrolysis and covalent phosphoenzyme intermediate formation are crucial parts of the catalytic cycle. At the highly...
6.4K
ATP Driven Pumps III: V-type Pumps01:30

ATP Driven Pumps III: V-type Pumps

4.9K
V-type pumps are ATP-driven pumps found in the vacuolar membranes of plants, yeast, endosomal and lysosomal membranes of animal cells, plasma membranes of a few specialized eukaryotic cells, and some prokaryotes. They are also known as the V1Vo-ATPase, that couple ATP hydrolysis to transport protons against a concentration gradient.
The peripheral or cytosolic V1 domain with eight subunits is involved in ATP hydrolysis. The integral or transmembrane V0 domain containing at least five subunits...
4.9K
Parallel Processing01:20

Parallel Processing

740
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
740
Information Processing Approach01:30

Information Processing Approach

591
The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
591

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

Long-Term Outcomes of Glucagon-Like Peptide-1 Receptor Agonists in Patients With Peripheral Artery Disease and Type 2 Diabetes.

Journal of the American Heart Association·2026
Same author

AI-enhanced ECG for acute coronary syndrome triage: A state-of-the-art review.

Cardiovascular revascularization medicine : including molecular interventions·2026
Same author

Diagnostic Approach to Left Ventricular Hypertrophy: A Review.

US cardiology·2026
Same author

REN: Anatomically-Informed Mixture-of-Experts for Interstitial Lung Disease Diagnosis.

IEEE transactions on medical imaging·2026
Same author

High-χ Block Copolymer Nanoreactors for the Confined Synthesis of Size-Controlled Nanoclusters.

ACS nano·2026
Same author

Outcomes of TAVR Plus TEVAR Versus TAVR Alone in Patients with Concomitant Aortic Stenosis and Thoracic Aortic Aneurysm.

Heart, lung & circulation·2026

相关实验视频

Updated: Feb 9, 2026

Microwave-driven Synthesis of Iron Oxide Nanoparticles for Fast Detection of Atherosclerosis
08:13

Microwave-driven Synthesis of Iron Oxide Nanoparticles for Fast Detection of Atherosclerosis

Published on: March 22, 2016

11.0K

图像处理管道用于人工智能驱动的纳米粒子巨型图书馆表征.

Alexandra L Day1,2, Carolin B Wahl3,4, Roberto Dos Reis3,4,5

  • 1Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, 60208, USA.

Scientific reports
|February 7, 2026
PubMed
概括
此摘要是机器生成的。

一个新的图像处理管道显著改善了用于分析纳米粒子图像的人工智能 (AI) 模型. 这种方法加速了数据分析,降低了成本,并提高了材料发现的模型准确性.

更多相关视频

Synthesis and Characterization of Amphiphilic Gold Nanoparticles
10:09

Synthesis and Characterization of Amphiphilic Gold Nanoparticles

Published on: July 2, 2019

18.2K
Viral Nanoparticles for In vivo Tumor Imaging
14:04

Viral Nanoparticles for In vivo Tumor Imaging

Published on: November 16, 2012

17.8K

相关实验视频

Last Updated: Feb 9, 2026

Microwave-driven Synthesis of Iron Oxide Nanoparticles for Fast Detection of Atherosclerosis
08:13

Microwave-driven Synthesis of Iron Oxide Nanoparticles for Fast Detection of Atherosclerosis

Published on: March 22, 2016

11.0K
Synthesis and Characterization of Amphiphilic Gold Nanoparticles
10:09

Synthesis and Characterization of Amphiphilic Gold Nanoparticles

Published on: July 2, 2019

18.2K
Viral Nanoparticles for In vivo Tumor Imaging
14:04

Viral Nanoparticles for In vivo Tumor Imaging

Published on: November 16, 2012

17.8K

科学领域:

  • 材料科学 材料科学 材料科学
  • 纳米技术纳米技术
  • 人工智能的人工智能

背景情况:

  • 巨型图书馆可以在芯片上生产数百万个独特的纳米粒子.
  • 巨型图书馆生成的庞大数据集需要自动化分析工具.
  • 之前的工作开发了一个机器学习模型用于纳米粒子图像质量选择.

研究的目的:

  • 开发一种自动化工具来分析来自大图书馆的纳米粒子图像.
  • 提高纳米粒子特征化机器学习模型的性能和稳定性.
  • 为了减少与分析大型纳米粒子数据集相关的时间和成本.

主要方法:

  • 在训练机器学习模型之前实施了自定义的图像处理管道.
  • 利用管道清理和增强原始纳米粒子图像.
  • 使用经过处理的图像进行训练的二进制分类模型,包括低分辨率数据.

主要成果:

  • 图像处理管道显著改善了模型性能,回忆率增加了18.2%,精度增加了13.1%.
  • 最好的模型在一个看不见的测试组中获得了95.9%的精度和95.1%的加权F分数.
  • 模型训练时间从几个小时减少到不到一分钟,在较低分辨率下性能得到改善.

结论:

  • 定制图像处理管道增强了用于纳米粒子表征的AI模型性能.
  • 这种方法可以更快,更准确地分析大型纳米粒子数据集,加速材料的发现.
  • 该管道可节省成本,并提高对图像变化的稳定性.