{"title":"质谱成像技术的最新进展与人工智能相结合,从空间角度阐明分子特征:面向生物医学应用","authors":"Hairong Zhang , Junyu Zhang , Caixia Yuan , Dandan Zhang , Di Lu , Simian Chen , Yun-long Wu , Caisheng Wu","doi":"10.1016/j.trac.2024.117834","DOIUrl":null,"url":null,"abstract":"<div><p>Mass spectrometry imaging (MSI) is an intuitive and multidimensional analysis method that provides spatial information on molecules in tissues or cells; it is widely used in biomedical research. However, MSI data sets are large and complex, and the quality of data processing directly affects its practical application. Fortunately, the rapid development of artificial intelligence (AI) has greatly simplified MSI data integration and image processing. The continued development of AI keeps enhancing MSI, and the integration of MSI and AI has benefited biomedical research. However, few reports summarize the recent developments in this important field. This review summarizes AI uses in currently reported MSI technology, including the introduction of the workflow for MSI data processing and mining, and provides examples of MSI combined with AI in disease diagnosis, tissue heterogeneity research, and tumor classification.</p></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":null,"pages":null},"PeriodicalIF":11.8000,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Recent advances in mass spectrometry imaging combined with artificial intelligence for spatially clarifying molecular profiles: Toward biomedical applications\",\"authors\":\"Hairong Zhang , Junyu Zhang , Caixia Yuan , Dandan Zhang , Di Lu , Simian Chen , Yun-long Wu , Caisheng Wu\",\"doi\":\"10.1016/j.trac.2024.117834\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Mass spectrometry imaging (MSI) is an intuitive and multidimensional analysis method that provides spatial information on molecules in tissues or cells; it is widely used in biomedical research. However, MSI data sets are large and complex, and the quality of data processing directly affects its practical application. Fortunately, the rapid development of artificial intelligence (AI) has greatly simplified MSI data integration and image processing. The continued development of AI keeps enhancing MSI, and the integration of MSI and AI has benefited biomedical research. However, few reports summarize the recent developments in this important field. This review summarizes AI uses in currently reported MSI technology, including the introduction of the workflow for MSI data processing and mining, and provides examples of MSI combined with AI in disease diagnosis, tissue heterogeneity research, and tumor classification.</p></div>\",\"PeriodicalId\":439,\"journal\":{\"name\":\"Trends in Analytical Chemistry\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":11.8000,\"publicationDate\":\"2024-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Trends in Analytical Chemistry\",\"FirstCategoryId\":\"1\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0165993624003170\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in Analytical Chemistry","FirstCategoryId":"1","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165993624003170","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
Recent advances in mass spectrometry imaging combined with artificial intelligence for spatially clarifying molecular profiles: Toward biomedical applications
Mass spectrometry imaging (MSI) is an intuitive and multidimensional analysis method that provides spatial information on molecules in tissues or cells; it is widely used in biomedical research. However, MSI data sets are large and complex, and the quality of data processing directly affects its practical application. Fortunately, the rapid development of artificial intelligence (AI) has greatly simplified MSI data integration and image processing. The continued development of AI keeps enhancing MSI, and the integration of MSI and AI has benefited biomedical research. However, few reports summarize the recent developments in this important field. This review summarizes AI uses in currently reported MSI technology, including the introduction of the workflow for MSI data processing and mining, and provides examples of MSI combined with AI in disease diagnosis, tissue heterogeneity research, and tumor classification.
期刊介绍:
TrAC publishes succinct and critical overviews of recent advancements in analytical chemistry, designed to assist analytical chemists and other users of analytical techniques. These reviews offer excellent, up-to-date, and timely coverage of various topics within analytical chemistry. Encompassing areas such as analytical instrumentation, biomedical analysis, biomolecular analysis, biosensors, chemical analysis, chemometrics, clinical chemistry, drug discovery, environmental analysis and monitoring, food analysis, forensic science, laboratory automation, materials science, metabolomics, pesticide-residue analysis, pharmaceutical analysis, proteomics, surface science, and water analysis and monitoring, these critical reviews provide comprehensive insights for practitioners in the field.