Department of Physiology, Seoul National University College of Medicine, 103 Daehangno, Jongro-gu, Seoul, 03080, Republic of Korea.
Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea.
Mol Brain. 2021 Sep 8;14(1):138. doi: 10.1186/s13041-021-00847-x.
To understand the information encoded in a connection between the neurons, postsynaptic current (PSC) has been widely measured as a primary index of synaptic strength in the field of neurophysiology. Although several automatic detection methods for PSCs have been proposed to simplify a workflow in the analysis, repetitive steps such as quantification and management of PSC data should be still performed with much effort. Here, we present Minhee Analysis Package, an integrated standalone software package that is capable of detecting, sorting, and quantifying PSC data. First, we developed a stepwise exploratory algorithm to detect PSC and validated our detection algorithm using the simulated and experimental data. We also described all the features and examples of the package so that users can use and follow them properly. In conclusion, our software package is expected to improve the convenience and efficiency of neurophysiologists to analyze PSC data by simplifying the workflow from detection to quantification. Minhee Analysis Package is freely available to download from http://www.github.com/parkgilbong/Minhee_Analysis_Pack .
为了理解神经元之间连接中所编码的信息,在神经生理学领域,已经广泛地将突触后电流(PSC)作为突触强度的主要指标进行测量。尽管已经提出了几种用于自动检测 PSCs 的方法,以简化分析中的工作流程,但 PSC 数据的量化和管理等重复步骤仍需要付出很大的努力。在这里,我们提出了 Minhee 分析包,这是一个集成的独立软件包,能够检测、分类和量化 PSC 数据。首先,我们开发了一个逐步探索性算法来检测 PSC,并使用模拟和实验数据验证了我们的检测算法。我们还描述了该软件包的所有功能和示例,以便用户能够正确使用和遵循。总之,我们的软件包有望通过简化从检测到量化的工作流程,提高神经生理学家分析 PSC 数据的便利性和效率。Minhee 分析包可从 http://www.github.com/parkgilbong/Minhee_Analysis_Pack 免费下载。