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Development of image analysis tool for the classification of muscle fibre type using immunohistochemical staining.

机译:图像分析工具的开发,用于使用免疫组织化学染色对肌纤维类型进行分类。

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摘要

An accurate characterisation of muscle fibres is essential for studying muscle plasticity. During some transient events such as ageing, myogenesis, physical activity or conversion of muscle to meat, the morphological parameters and/or the fibre type distribution may change. Nowadays, this information is generally obtained using immunohistology techniques, but these analyses are acknowledged to be laborious and time-consuming. In fact, each myofibre, from thousands, must be measured individually and its expression profile in response to different anti-myosin antibodies must be established step by step. In this paper, we describe a new histological approach using double-labelling (laminin, myosin) serial sections, fluorescence microscopy visualisation and, finally, semi-automatic image analysis. The goal of the study was to propose a tool allowing faster fibre type characterisation, including the identification of hybrid fibres from pure ones. The steps in the image processing prone to subjectivity have been fully automated. On the other hand, the expert retained control of all image analysis procedures requiring visual diagnosis. The tool that we developed with the Visilog software allowed a rapid and objective fibre typing and morphometric characterisation of two different bovine muscles. The results were in agreement with our previous histological and densitometric assays. The method and the tool proved to be potentially more efficient than other techniques used in our institute or described in the literature. A more global evaluation will be considered in other laboratories as well as on other animal species.
机译:肌肉纤维的准确表征对于研究肌肉可塑性至关重要。在某些短暂事件中,例如衰老,肌肉生成,身体活动或肌肉向肉类转化,形态参数和/或纤维类型分布可能会发生变化。如今,通常使用免疫组织学技术获得该信息,但是这些分析被认为既费力又费时。实际上,必须单独测量数千个肌纤维,并且必须逐步建立其针对不同抗肌球蛋白抗体的表达模式。在本文中,我们描述了一种使用双标记(层粘连蛋白,肌球蛋白)连续切片,荧光显微镜可视化以及最后进行半自动图像分析的新组织学方法。该研究的目的是提出一种工具,以实现更快的纤维类型表征,包括从纯纤维中鉴定杂化纤维。易于主观化的图像处理步骤已完全自动化。另一方面,专家保留了所有需要视觉诊断的图像分析程序的控制权。我们使用Visilog软件开发的工具可以对两种不同的牛肌肉进行快速,客观的纤维分型和形态计量学表征。结果与我们以前的组织学和光密度测定法一致。该方法和工具被证明比我们研究所使用或文献中描述的其他技术更有效。其他实验室以及其他动物物种也将考虑进行更全面的评估。

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