Information Entropy-Based Strategy for the Quantitative Evaluation of Extensive Hyperspectral Images to Better Unveil Spatial Heterogeneity in Mass Spectrometry Imaging
文献类型:期刊论文
作者 | Wu, Wenyong5,6; Hou, Jinjun5; Zhang, Zijia4,5; Li, Feifei4,5; Zhang, Rong4,5; Gao, Lei4,5; Ni, Hui5,6; Zhang, Tengqian4,5; Long, Huali5; Lei, Min4,5 |
刊名 | ANALYTICAL CHEMISTRY |
出版日期 | 2022-07-26 |
卷号 | 94期号:29页码:10355-10366 |
ISSN号 | 0003-2700 |
DOI | 10.1021/acs.analchem.2c00370 |
通讯作者 | Huang, Ruimin(rmhuang@simm.ac.cn) ; Zeng, Zhongda(adawin.tsang@qq.com) ; Wu, Wanying(wanyingwu@simm.ac.cn) |
英文摘要 | Hyperspectral images can be generated from mass spectrometry imaging (MSI) data for the intuitive data visualization purpose. However, hundreds of HSIs can be generated by different dimensionality reduction methods, which poses great challenges in selecting the high-quality images with the best intuitive visualization results of the MSI data. Here, we presented a novel approach that objectively evaluates the image quality of the hyperspectral images. The applicability of this method was demonstrated by analyzing the MSI data acquired from human prostate cancer biopsy samples and mouse brain tissue section, which harbored an intrinsic tissue heterogeneity. Our method was based on the information entropy and contrast measured from image information content and image definition, respectively. The heterogeneity of the MSI data from high-dimensional space was reduced to three-dimensional embeddings and thoroughly evaluated to achieve satisfactory visualization results. The application of information entropy and contrast can be used to choose the optimized visualization results rapidly and objectively from an extensive number of hyperspectral images and be adopted to evaluate and optimize different dimensionality reduction algorithms and their hyperparameter combinations. In conclusion, the information entropy-based strategy could be a bridge between chemometrician and biologists. |
WOS关键词 | QUALITY ASSESSMENT |
资助项目 | National Natural Sciences Foundation of China[81973455] |
WOS研究方向 | Chemistry |
语种 | 英语 |
出版者 | AMER CHEMICAL SOC |
WOS记录号 | WOS:000829345000001 |
源URL | [http://119.78.100.183/handle/2S10ELR8/302031] |
专题 | 中国科学院上海药物研究所 |
通讯作者 | Huang, Ruimin; Zeng, Zhongda; Wu, Wanying |
作者单位 | 1.Dalian Univ, Coll Environm & Chem Engn, Dalian 116622, Peoples R China 2.Fudan Univ, Dept Lab Anim Sci, Shanghai 200032, Peoples R China 3.Shanghai Jiao Tong Univ, Shanghai Gen Hosp, Sch Med, Dept Urol, Shanghai 200080, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 5.Chinese Acad Sci, Natl Engn Res Ctr TCM Standardizat Technol, Shanghai Inst Mat Med, Shanghai 201203, Peoples R China 6.Nanjing Univ Chinese Med, Sch Chinese Mat Med, Nanjing 210029, Peoples R China |
推荐引用方式 GB/T 7714 | Wu, Wenyong,Hou, Jinjun,Zhang, Zijia,et al. Information Entropy-Based Strategy for the Quantitative Evaluation of Extensive Hyperspectral Images to Better Unveil Spatial Heterogeneity in Mass Spectrometry Imaging[J]. ANALYTICAL CHEMISTRY,2022,94(29):10355-10366. |
APA | Wu, Wenyong.,Hou, Jinjun.,Zhang, Zijia.,Li, Feifei.,Zhang, Rong.,...&Wu, Wanying.(2022).Information Entropy-Based Strategy for the Quantitative Evaluation of Extensive Hyperspectral Images to Better Unveil Spatial Heterogeneity in Mass Spectrometry Imaging.ANALYTICAL CHEMISTRY,94(29),10355-10366. |
MLA | Wu, Wenyong,et al."Information Entropy-Based Strategy for the Quantitative Evaluation of Extensive Hyperspectral Images to Better Unveil Spatial Heterogeneity in Mass Spectrometry Imaging".ANALYTICAL CHEMISTRY 94.29(2022):10355-10366. |
入库方式: OAI收割
来源:上海药物研究所
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