INRA, UR1213 Herbivores, 63122, Saint Genès Champanelle, France.
Histochem Cell Biol. 2010 Sep;134(3):307-17. doi: 10.1007/s00418-010-0733-7. Epub 2010 Aug 14.
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.
准确描述肌纤维对于研究肌肉可塑性至关重要。在某些短暂的事件中,如衰老、成肌作用、体育活动或肌肉向肉的转化,形态参数和/或纤维类型分布可能会发生变化。如今,这些信息通常是使用免疫组织化学技术获得的,但这些分析被认为是繁琐和耗时的。实际上,必须单独测量成千上万的每条肌纤维,并逐步建立其对不同抗肌球蛋白抗体的表达谱。在本文中,我们描述了一种新的组织学方法,使用双重标记(层粘连蛋白、肌球蛋白)连续切片、荧光显微镜可视化,最后是半自动图像分析。该研究的目的是提出一种更快的纤维类型特征描述工具,包括从纯纤维中识别混合纤维。易于主观的图像处理步骤已完全自动化。另一方面,专家保留了对所有需要视觉诊断的图像分析程序的控制。我们使用 Visilog 软件开发的工具允许快速、客观地对两种不同的牛肌肉进行纤维分型和形态计量特征描述。结果与我们之前的组织学和密度计测定结果一致。该方法和工具被证明比我们研究所使用的或文献中描述的其他技术更有效。将在其他实验室以及其他动物物种上进行更全面的评估。