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

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

6.8K
Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
6.8K

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

Mechanistic Insight Into Electrocatalytic Nitrogen Reduction to Ammonia Over PdBi Single-Atom Alloys.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Efficiently electron beam radiation-induced degradation and extraction of Angelica sinensis polysaccharides and its excellent biofunctional properties.

Food chemistry·2026
Same author

The (bi)carbonate precipitation challenge in electrocatalytic CO<sub>2</sub> reduction reaction: a cross-scale perspective.

Science bulletin·2026
Same author

LFU-Net: LoRA-enhanced frequency-aware U-Net with recursive residual attention fusion for retinal segmentation.

Scientific reports·2026
Same author

Underwater Doppler-bearing pulse source tracking based on an outlier-tolerant variational Bayesian adaptive Kalman filter.

The Journal of the Acoustical Society of America·2026
Same author

Interfacial Polymerization of TEPA and HMDI: The Role of Water.

ACS catalysis·2026

相关实验视频

Updated: May 13, 2025

Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors
09:59

Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors

Published on: June 23, 2018

7.7K

基于低维半导体材料的下一代图像传感器

Yunxia Hu1,2, Zhaoli Gao3, Zhengtang Luo1

  • 1Department of Chemical and Biological Engineering, William Mong Institute of Nano Science and Technology, and Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, The Hong Kong University of Science and Technology, Hong Kong, 999077, P. R. China.

Advanced materials (Deerfield Beach, Fla.)
|April 16, 2025
PubMed
概括

下一代图像传感器使用低维半导体材料,如0D,1D和2D材料,以克服传统的局限性. 这些新型材料为先进的成像应用提供了增强的性能.

关键词:
图像传感器 图像传感器具有低维的半导体材料.光学记忆器件是指光学记忆器件.光学突触装置是指光学突触装置.摄影探测器是一种光检测器.

更多相关视频

Lensless Fluorescent Microscopy on a Chip
11:23

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

17.6K
A Standard and Reliable Method to Fabricate Two-Dimensional Nanoelectronics
07:12

A Standard and Reliable Method to Fabricate Two-Dimensional Nanoelectronics

Published on: August 28, 2018

9.5K

相关实验视频

Last Updated: May 13, 2025

Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors
09:59

Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors

Published on: June 23, 2018

7.7K
Lensless Fluorescent Microscopy on a Chip
11:23

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

17.6K
A Standard and Reliable Method to Fabricate Two-Dimensional Nanoelectronics
07:12

A Standard and Reliable Method to Fabricate Two-Dimensional Nanoelectronics

Published on: August 28, 2018

9.5K

科学领域:

  • 材料科学 材料科学 材料科学
  • 半导体物理 半导体物理
  • 图像技术技术的成像技术

背景情况:

  • 大数据和人工智能 (AI) 的快速发展推动了对优越图像质量和分析的需求.
  • 传统的基于的图像传感器在满足这些不断增长的视觉信息处理需求方面存在局限性.

研究的目的:

  • 提供基于低维半导体材料 (0D,1D,2D和混合体) 的下一代图像传感器的全面审查.
  • 探索这些新型传感器的材料特性,设备结构,制备方法和成像特性.
  • 突出基于低维材料的成像中的多样化应用以及未来的挑战和机遇.

主要方法:

  • 对用于图像传感器的低维半导体材料研究的文献综述.
  • 新型图像传感器的分类和分析,重点关注过渡金属二甲基化物 (TMD).
  • 讨论设备结构,制备技术和成像性能.

主要成果:

  • 低维材料具有独特的特性,适用于先进的图像传感.
  • 特别关注过渡金属二甲基化物 (TMD) 和它们的制备方法.
  • 识别各种应用,包括先进的,仿生和非·诺伊曼成像系统.

结论:

  • 低维的半导体材料对于开发下一代图像传感器至关重要.
  • 为了克服当前的挑战,需要进一步研究材料特性和设备工程.
  • 在使用这些材料的先进成像技术中存在重大创新机会.