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相关概念视频

Color Vision01:24

Color Vision

1.8K
Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
1.8K
Photoreceptors and Visual Pathways01:22

Photoreceptors and Visual Pathways

10.5K
At the molecular level, visual signals trigger transformations in photopigment molecules, resulting in changes in the photoreceptor cell's membrane potential. The photon's energy level is denoted by its wavelength, with each specific wavelength of visible light associated with a distinct color. The spectral range of visible light, classified as electromagnetic radiation, spans from 380 to 720 nm. Electromagnetic radiation wavelengths exceeding 720 nm fall under the infrared category,...
10.5K
Vision01:24

Vision

60.9K
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
60.9K
Channel Rhodopsins01:11

Channel Rhodopsins

3.4K
Most organisms use photoreceptors to sense and respond to light. Examples of photoreceptors include bacteriorhodopsins and bacteriophytochromes in some bacteria, phytochromes in plants, and rhodopsins in the photoreceptor cells of the vertebral retina. The light-sensitive property of these receptors is because of the bound chromophores, such as bilin in the phytochromes and retinal in the rhodopsins.
Rhodopsins belong to the family of cell surface proteins called G-protein coupled receptors,...
3.4K

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相关实验视频

Updated: Mar 10, 2026

High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon
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High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon

Published on: June 16, 2020

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生物启发的伪装纤维具有计算机视觉引导的色彩适应.

Luyao Huang1,2, Tingyu Cheng3, Xianzhe Zhang4

  • 1Department of Mechanical and Industrial Engineering, Northeastern University, Boston, Massachusetts 02115, United States.

ACS nano
|May 16, 2025
PubMed
概括
此摘要是机器生成的。

研究人员开发了一种智能伪装系统,使用改变颜色的基纤维素 (HPC) 纤维. 这种生物灵感材料由计算机视觉控制,自主匹配其周围环境,用于先进的隐藏应用.

关键词:
人工智能的人工智能是人工智能.染色适应 染色适应计算机视觉 计算机视觉基 propyl 纤维素 的使用.结构颜色 结构颜色

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Visualizing Visual Adaptation
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Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
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Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

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相关实验视频

Last Updated: Mar 10, 2026

High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon
08:18

High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon

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Visualizing Visual Adaptation
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Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
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科学领域:

  • 材料科学 材料科学 材料科学
  • 生物模拟学是一种生物模拟学.
  • 计算机视觉 计算机视觉

背景情况:

  • 智能伪装需要能够动态适应环境的先进材料.
  • 纤维素衍生物,如基基纤维素 (HPC),可以形成具有可调色结构颜色的液晶.

研究的目的:

  • 为了演示一种生物灵感的伪装系统,使用具有机械调节结构颜色的HPC纤维.
  • 通过计算机视觉辅助机械控制实现与环境的自主配色.

主要方法:

  • 基烯纤维素 (HPC) 纤维与计算机视觉的整合.
  • 开发一个定制的波长值 (WV) 映射算法,用于环境分析和光纤张力控制.
  • 实施一个闭环控制系统,用于精确的机械操纵和颜色调制.

主要成果:

  • 该系统在室温下以不到5%的误差实现了自主色彩匹配.
  • 在15至35°C的温度范围内,保持了超过95%的准确性.
  • HPC 纤维显示可见光谱 (400-700 nm) 的可逆色变.

结论:

  • 该研究提出了一种使用可持续生物材料和计算机视觉引导机械控制的先进伪装的新方法.
  • 这项技术在军事隐蔽和防伪方面提供了潜在的应用.