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Measurement of Displacement in Isolated Heart Muscle Cells using Markerless Subpixel Image Registration

机译:使用无标记亚像素图像配准测量孤立的心肌细胞中的位移

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Cellular mechanics is an area that has been readily explored, yet there is still much that is unknown about the behaviour of heart muscle cells (myocytes) during contraction in both healthy and diseased states. Currently available systems for contractility measurements expect myocytes to be aligned within the imaging system and expect them to contract axially. However, myocyte contraction is not always uniform, and hence localised changes in the myocyte may not be captured in 1D measurements such as average sarcomere and cell length. With the availability of new and robust image correlation techniques, there is new potential to track displacements of cells without the need for external markers. Here, we present the use of a subpixel image registration (accurate to the millipixel) to track the internal movement of an isolated myocyte during unloaded contraction. Additionally, methods were developed to estimate the orientation of a contracting myocyte frame by frame, removing the need for myocytes to be perfectly aligned in the imaging system. This will allow measurement of sarcomere lengths and displacement regardless of what angle the myocyte is at. Furthermore, it offers the potential to find localised myocyte angle during contraction and therefore localised sarcomere lengths.
机译:细胞力学是一个容易探索的领域,但是在健康状态和患病状态下,心肌细胞(肌细胞)在收缩过程中的行为仍有很多未知的地方。当前可获得的用于收缩力测量的系统期望心肌细胞在成像系统内对准并且期望它们轴向收缩。但是,心肌细胞的收缩并不总是均匀的,因此,在一维测量(例如平均肌节和细胞长度)中可能无法捕获局部的心肌细胞变化。随着新的和强大的图像相关技术的可用性,无需外部标记就可以追踪细胞的位移。在这里,我们介绍了使用亚像素图像配准(精确到毫像素)来跟踪空载收缩过程中孤立的心肌细胞的内部运动。另外,开发了一种方法来逐帧估计收缩的心肌细胞的方向,从而消除了在成像系统中完全对齐心肌细胞的需求。无论肌细胞处于什么角度,都可以测量肌小节的长度和位移。此外,它提供了在收缩过程中找到局部肌细胞角并因此找到局部肌节长度的潜力。

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