Although Raman spectroscopy is widely used for the investigation of biomedical samples and has a high potential for use in clinical applications, it is not common in clinical routines. One of the factors that obstruct the integration of Raman spectroscopic tools into clinical routines is the complexity of the data processing workflow. Software tools that simplify spectroscopic data handling may facilitate such integration by familiarizing clinical experts with the advantages of Raman spectroscopy. Here, RAMANMETRIX is introduced as a user-friendly software with an intuitive web-based graphical user interface (GUI) that incorporates a complete workflow for chemometric analysis of Raman spectra, from raw data pretreatment to a robust validation of machine learning models. The software can be used both for model training and for the application of the pretrained models onto new data sets. Users have full control of the parameters during model training, but the testing data flow is frozen and does not require additional user input. RAMANMETRIX is available in two versions: as standalone software and web application. Due to the modern software architecture, the computational backend part can be executed separately from the GUI and accessed through an application programming interface (API) for applying a preconstructed model to the measured data. This opens up possibilities for using the software as a data processing backend for the measurement devices in real-time. The models preconstructed by more experienced users can be exported and reused for easy one-click data preprocessing and prediction, which requires minimal interaction between the user and the software. The results of such prediction and graphical outputs of the different data processing steps can be exported and saved.
翻译:虽然拉曼光谱仪广泛用于生物医学样本的调查,在临床应用中使用的潜力很大,但在临床常规中并不常见。妨碍将拉曼光谱工具纳入临床常规的因素之一是数据处理工作流程的复杂性。简化光谱数据处理的软件工具可以使临床专家熟悉Raman光谱仪的优点,从而便利这种一体化。在这里,RAMANMETRIX被引入为方便用户的软件,具有直观的网络化图形用户界面(GUI),其中包括对Raman光谱进行化学分析的完整工作流程,从原始数据预处理到对机器学习模型进行有力的验证。软件既可用于模型培训,也可用于将预先训练的模型应用于新的数据集。用户在模型培训期间完全控制参数,但测试前的数据流却被冻结,不需要额外的用户投入。 RAMANMETRIX有两种版本:作为独立软件和网络应用程序。由于现代软件结构,计算后端部分可以单独进行拉曼光光谱分析,从原始数据互动到对机器学习模型进行简单化的处理,然后通过一个操作程序将数据界面用于进行真正的数据转换。 用户的计算,可以将数据转换后路路路路路路路路路路,然后通过一个路路路路路路段,通过一个路路路路路路路路路路路路路的操作,通过一个路路路路路路路路路段,通过一个路路路路路路路路路路路路路段,通过一个路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路。通过一个路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路路