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Related Concept Videos

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.
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Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
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The muscles of the eye are sophisticated structures that control eye movement and focus, allowing for the precise and rapid adjustments necessary for vision. The human eye is controlled by ten muscles — six extraocular muscles, three intraocular muscles, and one primary eyelid retractor muscle.
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The muscles that move the head are a dynamic and complex group of structures that work together to facilitate a wide range of head movements, including rotation, flexion, extension, and lateral bending.
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The abdominal wall encircles the abdominal cavity, providing flexible protection and shielding the internal organs from harm. It is bordered at the top by the xiphoid process and costal margins, at the back by the vertebral column, and at the bottom by the pelvic bones and inguinal ligament. The abdominal wall is divided into two regions — the anterolateral and posterior regions.
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Nine muscles are involved in arm movements. Two of these, the pectoralis major and latissimus dorsi, originate from the axial skeleton and are called axial muscles. The other seven originate from the scapula and are called the scapular muscles.
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Semi-automated Analysis of Mouse Skeletal Muscle Morphology and Fiber-type Composition
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Automated muscle histopathology analysis using CellProfiler.

Yeh Siang Lau1, Li Xu1, Yandi Gao1

  • 1Department of Surgery, Davis Heart and Lung Research Institute, Biomedical Sciences Graduate Program, Biophysics Graduate Program, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA.

Skeletal Muscle
|October 20, 2018
PubMed
Summary
This summary is machine-generated.

MuscleAnalyzer, a CellProfiler-based pipeline, efficiently quantifies skeletal muscle histology, providing accurate measurements of fiber size and central nuclei. This automated approach significantly reduces analysis time compared to manual methods for muscle physiology research.

Keywords:
HistologyImage segmentationMuscleQuantitative analysismdx mouse

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Area of Science:

  • Biomedical Engineering
  • Cell Biology
  • Histology

Background:

  • Skeletal muscle histology is crucial for understanding muscle physiology and diseases.
  • Key quantifiable measures include fiber diameter, size distribution, and central nucleated fibers.
  • Manual analysis is time-consuming and subjective, necessitating automated solutions.

Purpose of the Study:

  • To develop and validate an automated computational pipeline for skeletal muscle histology analysis.
  • To improve the efficiency and objectivity of quantifying muscle fiber characteristics.

Main Methods:

  • Developed MuscleAnalyzer, a customized pipeline using CellProfiler, an open-source image analysis software.
  • Evaluated the pipeline on wild-type and mdx mouse muscle sections co-stained with laminin and DAPI.
  • Compared automated analysis results with manual quantification.

Main Results:

  • MuscleAnalyzer demonstrated comparable accuracy to manual analysis for fiber count and central nucleated fiber (CNF) percentage.
  • Automated analysis took approximately 10 minutes for 67 images, versus 3 hours manually.
  • The pipeline also provides measurements for cross-sectional area (CSA) and minimal Feret's diameter (MFD), enabling fiber size distribution analysis.

Conclusions:

  • MuscleAnalyzer pipeline efficiently and accurately analyzes co-stained muscle histology images in batch.
  • Provides quantitative measurements of muscle fiber diameters, size distribution, and CNF percentage.
  • Offers a significant advantage over manual methods for muscle research.