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相关概念视频

Classification of Skeletal Muscle Fibers01:48

Classification of Skeletal Muscle Fibers

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Skeletal muscles continuously produce ATP to provide the energy that enables muscle contractions. Skeletal muscle fibers can be categorized into three types based on differences in their contraction speed and how they produce ATP, as well as physical differences related to these factors. Most human muscles contain all three muscle fiber types, albeit in varying proportions.
Slow-Twitch Muscle Fibers
Slow oxidative, muscle fibers appear red due to large numbers of capillaries and high levels of...
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Classification of Skeletal Muscle Relaxants01:28

Classification of Skeletal Muscle Relaxants

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Skeletal muscle relaxants are a group of drugs that can reduce muscle stiffness and induce temporary paralysis to relieve pain. These agents can act centrally to reduce muscle tone or spasms in painful conditions such as multiple sclerosis (MS), amyotrophic lateral sclerosis (ALS), or spinal injuries; they are called antispasmodics or spasmolytics.
Peripherally acting skeletal muscle relaxants interfere with the neurotransmission at the neuromuscular end plate to induce paralysis during...
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Skeletal Muscle Anatomy00:55

Skeletal Muscle Anatomy

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Skeletal muscle is the most abundant type of muscle in the body. Tendons are the connective tissue that attaches skeletal muscle to bones. Skeletal muscles pull on tendons, which in turn pull on bones to carry out voluntary movements.
92.5K
Naming Skeletal Muscles01:19

Naming Skeletal Muscles

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The naming of the approximately 700 muscles in the human body is based on a set of criteria designed to provide descriptive information about each muscle, making it easier to identify and remember them.
The key factors used in naming muscles include:
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相关实验视频

Updated: Jan 12, 2026

Semi-automated Analysis of Mouse Skeletal Muscle Morphology and Fiber-type Composition
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PathViT:自动疾病分类从骨肌肉组织病理学.

Taymaz Akan1, Sait Alp2, Richa Aishwarya3

  • 1Department of Medicine, Louisiana State University Health Sciences Center, Shreveport, Louisiana; Department of Software Engineering, Faculty of Engineering, Istanbul Topkapi University, Istanbul, Turkey.

The American journal of pathology
|November 8, 2025
PubMed
概括
此摘要是机器生成的。

深度学习模型PathViT准确地区分健康的肌肉纤维和患病的肌肉纤维,改善了骨肌肉病理的诊断速度和一致性. 这种人工智能工具减少了手工分析,增强了生物医学研究和临床应用.

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A Rapid Automated Protocol for Muscle Fiber Population Analysis in Rat Muscle Cross Sections Using Myosin Heavy Chain Immunohistochemistry
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Last Updated: Jan 12, 2026

Semi-automated Analysis of Mouse Skeletal Muscle Morphology and Fiber-type Composition
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Semi-automated Analysis of Mouse Skeletal Muscle Morphology and Fiber-type Composition

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A Rapid Automated Protocol for Muscle Fiber Population Analysis in Rat Muscle Cross Sections Using Myosin Heavy Chain Immunohistochemistry
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A Rapid Automated Protocol for Muscle Fiber Population Analysis in Rat Muscle Cross Sections Using Myosin Heavy Chain Immunohistochemistry

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科学领域:

  • 生物医学工程 生物医学工程
  • 计算病理学计算病理学
  • 数字健康数字健康

背景情况:

  • 从组织学图像中手动分析骨肌病理是耗时且主观的.
  • 手动分析中用户间和用户内部的变化会影响诊断准确性和一致性.
  • 目前的方法需要手动的细胞计数,细分和值,增加劳动强度.

研究的目的:

  • 开发一种自动化的深度学习模型,PathViT,用于骨肌肉病理学分析.
  • 为了减少人为干预,主观性和肌肉纤维分类的变化.
  • 与传统的手动方法相比,大大减少了分析时间.

主要方法:

  • 采用小麦芽聚氨酸染色和骨肌肉的数字组织病理学.
  • 采用基于变压器的深度学习模型 (PathViT) 进行自动分类.
  • 将PathViT的性能与最先进的深度学习模型进行比较.

主要成果:

  • 在分类健康与患病的肌肉纤维方面,PathViT实现了96%的准确性.
  • 该模型在区分肌肉病理方面表现优于其他深度学习模型.
  • 通过PathViT,分析的可扩展性提高,可变性降低.

结论:

  • PathViT为骨肌病理学分析提供了一个强大的,自动化的解决方案.
  • 该模型提高了诊断的准确性和一致性,减少了对手工方法的依赖.
  • 在生物医学研究和临床环境中,PathViT具有作为一种有价值的工具的潜力.