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相关概念视频

Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

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Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...
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A phase diagram combines plots of pressure versus temperature for the liquid-gas, solid-liquid, and solid-gas phase-transition equilibria of a substance. These diagrams indicate the physical states that exist under specific conditions of pressure and temperature and also provide the pressure dependence of the phase-transition temperatures (melting points, sublimation points, boiling points). Regions or areas labeled solid, liquid, and gas represent single phases, while lines or curves represent...
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Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
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Phase Transitions02:31

Phase Transitions

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Whether solid, liquid, or gas, a substance's state depends on the order and arrangement of its particles (atoms, molecules, or ions). Particles in the solid pack closely together, generally in a pattern. The particles vibrate about their fixed positions but do not move or squeeze past their neighbors. In liquids, although the particles are closely spaced, they are randomly arranged. The position of the particles are not fixed—that is, they are free to move past their neighbors to...
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Avoidance Learning and Learned Helplessness01:14

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Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
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Understanding the inductance of transmission lines is crucial for efficient design and operation in electrical power systems. This discussion delves into the inductance characteristics of single-phase two-wire and three-phase three-wire transmission lines with equal phase spacing.
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相关实验视频

Updated: Feb 4, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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使用层次阶段对比扫描和深度学习的多尺度细分.

Yang Zhou1, Shahab Aslani2,3, Yousef Javanmardi1

  • 1Multiscale X-ray Imaging (MXI) Lab, Department of Mechanical Engineering, University College London, London, United Kingdom.

PLoS computational biology
|February 2, 2026
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种深度学习管道,用于使用层次相对照断层扫描 (HiP-CT) 进行多尺度生物医学图像细分. 该方法有效地将小的功能单元,如脏球粒,在不同的分辨率上进行细分,以便进行全面的器官分析.

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科学领域:

  • 生物医学成像学 生物医学成像学
  • 计算病理学计算病理学
  • 用于医学图像分析的深度学习.

背景情况:

  • 生物医学系统分析需要在多个空间尺度上整合信息.
  • 现有的图像细分方法与多尺度数据作斗争,限制了整个器官内的小结构的分析.
  • 层次相对照断层扫描 (HiP-CT) 提供3D多尺度数据集,使全器官成像具有高分辨率.

研究的目的:

  • 开发和验证一个深度学习管道用于多尺度生物医学图像细分.
  • 为了使整个器官内的不同分辨率的小功能单元 (如质细胞) 能够进行分析.
  • 作为一个案例研究,将管道应用于人类脏质细胞细分.

主要方法:

  • 利用分层相对比断层扫描 (HiP-CT) 来生成多尺度的3D数据集.
  • 开发了一个深度学习细分管道,以高分辨率数据进行训练,并使用伪标签和图像注册扩展到较低分辨率.
  • 基准测试了四个3D深度学习模型,选择nnUNet作为其卓越性能的基准 (子分数0.906).

主要成果:

  • 拟议的管道成功地以低分辨率 (约100万个) 细分了整体人类脏中的100多万个质细胞. 25 微米/声素). 这就是说,
  • 在健康的捐赠者和高血压患者之间发现了球细胞计数的显著差异.
  • 能够进行全面的形态分析,包括空间统计和分布模式,与解剖学研究相一致.

结论:

  • 开发的深度学习管道有效地在多尺度生物成像数据集中细分小的功能单元.
  • HiP-CT与深度学习相结合,为全面的器官层面分析提供了强大的方法.
  • 该方法显示了广泛的适用性,用于在不同的尺度上分割各种器官系统.