Sleep research carried out on rat and mouse model led to the publication of more than 5000 papers in the last 15 years, of which more than 500 in 2014. Wake-sleep scoring represents a crucial step of the work performed in pre- clinical sleep laboratories; it is a time consuming task and a potential source of errors affecting research outcomes. Several algorithms have been developed to perform automatic sleep scoring. Automatic scoring can accelerate the work of researchers substantially. Moreover, the use of sleep scoring algorithms facilitates the direct comparison of the results produced in different laboratories, with clear advantages from the viewpoint of the advancement of science and reduction of the number of animals used for research. The intent of this review is to provide the readers with the last developments in scoring in rodent sleep and to stress about the need of a cross-lab and cross-species validated algorithm.

中文翻译：

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啮齿动物睡眠自动评分的最新进展。

在大鼠和小鼠模型上进行的睡眠研究导致在过去15年中发表了5000多篇论文，其中2014年发表了500多篇论文。唤醒睡眠评分是临床前睡眠实验室开展的工作的关键步骤; 这是一项耗时的任务，并且是可能影响研究成果的错误来源。已经开发了几种算法来执行自动睡眠评分。自动评分可以大大加快研究人员的工作。此外，使用睡眠评分算法有助于直接比较不同实验室产生的结果，从科学进步和减少用于研究的动物数量的角度来看，具有明显的优势。