Original data from a research for developing hue change phenomenon into mature quantitative chemical analysis technique (including chemical imaging)

We proposed a novel hue descriptor (Huev) with a tunable hue quantification sequence via Hue Threshold (HT) to solve the problem that the hue quantification sequences of existing quantitative parameters are fixed and lack adaptability to diverse hue change sequences of multi-hue optical sensors. Then we systematically investigated how to correlate Huev with quantitative analysis (including chemical imaging) of multi-hue optical sensors, and developed a user-friendly analysis platform (composed of a machine vision device and a IQA software) to facilitate the application of this method. The wider applicability of Huev than existing parameters, and the practicability of this method in mean analyte concentration measurement and chemical imaging were proved. All raw data of the figures in main text and extended data were shown here. The structure and content of the dataset were presented in the README.txt file. When comparing Huev with existing parameters, we used these parameters to analyze many sensor images from published literature. Snipaste software was used to cut sensor images from the literature downloaded in PDF format for further analysis. These literature titles were presented in the References section of this upload.本研究提出了一种新型色调描述符（Huev），其可通过色调阈值（Hue Threshold, HT）实现可调谐的色调量化序列，以解决现有量化参数的色调量化序列固定、无法适配多色调光学传感器多样色调变化序列的问题。随后本研究系统探究了如何将Huev与多色调光学传感器的定量分析（包括化学成像）相结合，并开发了一款操作友好型分析平台（由机器视觉设备与IQA软件组成）以促进该方法的推广应用。本研究验证了Huev相较现有参数具有更广泛的适用性，同时证实了该方法在平均分析物浓度测量与化学成像中的实用价值。本文正文与补充材料中所有图表对应的原始数据均已在此公开。本数据集的结构与内容说明详见README.txt文件。 在将Huev与现有参数进行对比时，本研究使用这些参数对多篇已发表文献中的传感器图像开展了分析。研究采用Snipaste软件对下载的PDF格式文献中的传感器图像进行截取，以供后续分析使用。上述文献的标题已在本次上传文件的参考文献部分列出。