简单的RGC：ImageJ插件用于计数视网膜神经节细胞并确定视网膜全细胞中病毒载体的转导效率
Simple RGC: ImageJ plugins for counting retinal ganglion cells and determining the transduction efficiency of viral vectors in retinal wholemounts
摘要：
Simple RGC由一系列ImageJ插件组成，除了帮助评估治疗的有效性外，还可以帮助研究人员研究视网膜神经节细胞（RGC）损伤模型。第一个名为RGC计数器的插件可以准确地计算来自视网膜整体图像的RGC总数。第二个名为RGC Transduction的插件测量两个通道之间的共定位，从而可以确定病毒载体的转导效率和转基因表达水平。第三个名为RGC Batch的插件是一个批量图像处理器，可以快速分析大量显微镜图像。这些ImageJ插件使视网膜整体计数中的RGC分析变得简单、快速、一致，并且不太容易受到研究者的无意识偏见。这些插件可以从ImageJ更新网站https://sites.imagej.net/Sonjoonho/免费获得。
英文摘要：
Simple RGC consists of a collection of ImageJ plugins to assist researchers investigating retinal ganglion cell (RGC) injury models in addition to helping assess the effectiveness of treatments. The first plugin named RGC Counter accurately calculates the total number of RGCs from retinal wholemount images. The second plugin named RGC Transduction measures the co-localisation between two channels making it possible to determine the transduction efficiencies of viral vectors and transgene expression levels. The third plugin named RGC Batch is a batch image processor to deliver fast analysis of large groups of microscope images. These ImageJ plugins make analysis of RGCs in retinal wholemounts easy, quick, consistent, and less prone to unconscious bias by the investigator. The plugins are freely available from the ImageJ update site https://sites.imagej.net/Sonjoonho/.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
