Bopp Nasrin, Scheid Lisa-Mareike, Fink Rainer H A, Rohr Karl
Biomedical Computer Vision Group, BioQuant Center and IPMB, University of Heidelberg and DKFZ, Heidelberg, Germany.
Medical Biophysics Unit, Medical Faculty, Institute for Physiology und Pathophysiology, University of Heidelberg, Heidelberg, Germany.
Front Physiol. 2019 Mar 27;10:289. doi: 10.3389/fphys.2019.00289. eCollection 2019.
The motility assay (IVMA) is a powerful tool commonly used in basic muscle research and for drug screenings with the aim to find treatment options for neuromuscular disorders. In brief, the sliding movement of fluorescence-labeled actin filaments on myosin motor proteins is recorded, and the sliding velocity is analyzed via image analysis methods. Due to low signal-to-noise ratios and large variability in the velocity signal, accurate determination of the maximum sliding velocity is challenging. We introduce a new method and software program named Actin Phase Velocity (ActiPHV). The method extracts the maximum velocity from filament tracking data. Based on simulated and real reference data we show that our method yields a higher accuracy compared to previous methods. As a result, our method enables enhancing the sensitivity of the IVMA to better exploit its full potential.
体外运动分析(IVMA)是一种常用的强大工具,用于基础肌肉研究和药物筛选,旨在寻找神经肌肉疾病的治疗方案。简而言之,记录荧光标记的肌动蛋白丝在肌球蛋白运动蛋白上的滑动运动,并通过图像分析方法分析滑动速度。由于信噪比低和速度信号变化大,准确测定最大滑动速度具有挑战性。我们引入了一种名为肌动蛋白相速度(ActiPHV)的新方法和软件程序。该方法从细丝跟踪数据中提取最大速度。基于模拟和实际参考数据,我们表明我们的方法比以前的方法具有更高的准确性。因此,我们的方法能够提高IVMA的灵敏度,以更好地发挥其全部潜力。