Pittsburgh Institute for Neurodegenerative Diseases, University of Pittsburgh, Pittsburgh, PA, USA; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA; Dietrich School of Arts and Sciences, University of Pittsburgh, Pittsburgh, PA, USA.
Pittsburgh Institute for Neurodegenerative Diseases, University of Pittsburgh, Pittsburgh, PA, USA; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA; Tsinghua University Medical School, Beijing, China.
J Neurosci Methods. 2018 Jan 1;293:329-337. doi: 10.1016/j.jneumeth.2017.10.012. Epub 2017 Oct 16.
Optokinetic reflex (OKR) responses provide a convenient means to evaluate oculomotor, integrative and afferent visual function in larval zebrafish models, which are commonly used to elucidate molecular mechanisms underlying development, disease and repair of the vertebrate nervous system.
We developed an open-source MATLAB-based solution for automated quantitative analysis of OKR responses in larval zebrafish. The package includes applications to: (i) generate sinusoidally-transformed animated grating patterns suitable for projection onto a cylindrical screen to elicit the OKR; (ii) determine and record the angular orientations of the eyes in each frame of a video recording showing the OKR response; and (iii) analyze angular orientation data from the tracking program to yield a set of parameters that quantify essential elements of the OKR. The method can be employed without modification using the operating manual provided. In addition, annotated source code is included, allowing users to modify or adapt the software for other applications.
We validated the algorithms and measured OKR responses in normal larval zebrafish, showing good agreement with published quantitative data, where available.
COMPARISON WITH EXISTING METHOD(S): We provide the first open-source method to elicit and analyze the OKR in larval zebrafish. The wide range of parameters that are automatically quantified by our algorithms significantly expands the scope of quantitative analysis previously reported.
Our method for quantifying OKR responses will be useful for numerous applications in neuroscience using the genetically- and chemically-tractable zebrafish model.
视动反射(OKR)反应为评估幼体斑马鱼模型的眼球运动、整合和传入视觉功能提供了一种便捷的方法,该模型常用于阐明脊椎动物神经系统发育、疾病和修复的分子机制。
我们开发了一种基于 MATLAB 的开源解决方案,用于自动分析幼体斑马鱼的 OKR 反应。该软件包包括以下应用程序:(i)生成正弦变换的动画光栅模式,适合投影到圆柱屏幕上以引发 OKR;(ii)确定并记录显示 OKR 反应的视频记录中每帧眼睛的角度取向;(iii)分析跟踪程序中的角度取向数据,得出一组参数,用于量化 OKR 的基本要素。该方法可按照提供的操作手册进行修改,无需修改。此外,还包含注释的源代码,允许用户修改或适应其他应用程序。
我们验证了算法并测量了正常幼体斑马鱼的 OKR 反应,与已发表的定量数据吻合良好,如有可用数据。
我们提供了第一个用于在幼体斑马鱼中引发和分析 OKR 的开源方法。我们的算法自动量化的广泛参数显著扩展了以前报告的定量分析的范围。
我们的 OKR 反应定量方法将对使用遗传和化学可操作的斑马鱼模型的神经科学的众多应用有用。