Quantifying muscle architecture in embryos using diceCT and algorithmic fascicle tracking.

IF 2.1
Julia L Molnar, Cassidy E Davis, Akinobu Watanabe, Edwin Dickinson
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Abstract

Advances in soft-tissue imaging and muscle reconstruction tools have greatly expanded our capacity to extract myological properties relating to function. Recently, the development of semi-autonomous fascicle tracking algorithms has permitted in situ measurements of fiber lengths and orientation. While these tools have been applied to postnatal, predominantly adult vertebrate specimens, their efficacy has not been demonstrated on embryonic specimens, which possess smaller and less developed muscle tissues. If fascicle tracking algorithms could be extended successfully to embryonic specimens, then life history changes to muscle action and function could be recorded in situ and in high fidelity from the onset of muscle contraction. In this study, we present a successful implementation of a fascicle tracking tool on jaw adductor and depressor muscles in a domestic chick embryo (Gallus gallus domesticus). Comparisons of algorithmic and manual fascicle reconstructions show visual and quantitative validation of the protocol. Compared with results from adult chickens, jaw muscles in embryos were not as uniformly oriented, and the muscles that close the jaw had relatively small physiological cross-sectional areas. This result implies that the growth trajectory is influenced by feeding requirements, such as bite force. We also report an artifact with the fascicle tracking method, where fascicle lengths appear shorter in smaller, thinner muscles relative to measurements based on manual segmentation of the image data. Nevertheless, fascicle orientations are congruent with those extracted from manual segmentation, even for the smallest muscles. Taken together, we demonstrate that an existing tool for semi-automated fascicle tracking is extensible to embryonic specimens. As such, the approach presented here paves a new path for investigating form-function relationships and the effect of muscle action on other tissues, such as bone, from the earliest stages of muscle contractions.

使用diceCT和算法束跟踪定量胚胎肌肉结构。
软组织成像和肌肉重建工具的进步极大地扩展了我们提取与功能相关的肌学特性的能力。最近,半自主束束跟踪算法的发展已经允许在原位测量纤维长度和方向。虽然这些工具已经应用于出生后,主要是成年脊椎动物标本,但它们的功效尚未在胚胎标本上得到证实,胚胎标本具有较小和不发达的肌肉组织。如果肌束跟踪算法可以成功地扩展到胚胎标本,那么从肌肉收缩开始,就可以原位记录肌肉动作和功能的生活史变化,并且保真度很高。在这项研究中,我们提出了一个成功的实施束跟踪工具的颚内收肌和降肌在家禽胚胎(Gallus Gallus驯化)。算法和人工神经束重建的比较显示了该方案的视觉和定量验证。与成年鸡的结果相比,胚胎颌骨肌肉定向不均匀,关闭颌骨的肌肉具有相对较小的生理截面积。这一结果表明,生长轨迹受咬合力等饲喂条件的影响。我们还报告了一种用神经束跟踪方法的伪影,其中相对于基于图像数据的手动分割测量,在更小、更薄的肌肉中,神经束长度显得更短。然而,即使是最小的肌肉,束的方向也与手工分割提取的方向一致。综上所述,我们证明了现有的半自动化束束跟踪工具可扩展到胚胎标本。因此,本文提出的方法为从肌肉收缩的最早阶段开始研究形式-功能关系以及肌肉作用对其他组织(如骨骼)的影响铺平了新的道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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