{"title":"Fundamental Concepts Related to Laser Molecular Imaging","authors":"Y. Kistenev, A. Borisov, D. Vrazhnov","doi":"10.1117/3.2599935.ch1","DOIUrl":null,"url":null,"abstract":"Laser molecular imaging deals with analyzing the spatial distribution and temporal variation of biomolecules in a human body and samples of a biological origin. Similar studies are associated with the discovery and analysis of biomarkers. Suitable biomarkers are vital for monitoring a person’s current metabolism and disease detection, but the dependence of a disease, a shift in metabolism, and registered spectral data are latent and complicated. Accordingly, specific methods of spectral data analysis are necessary. Currently, artificial intelligence is the most promising approach in this field. This chapter gives general information about the biomarker conception, molecular laser imaging, and artificial intelligence, including machine learning. The basic concepts introduced here are described in detail in Chapters 2–4.","PeriodicalId":285501,"journal":{"name":"Medical Applications of Laser Molecular Imaging and Machine Learning","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medical Applications of Laser Molecular Imaging and Machine Learning","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/3.2599935.ch1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Laser molecular imaging deals with analyzing the spatial distribution and temporal variation of biomolecules in a human body and samples of a biological origin. Similar studies are associated with the discovery and analysis of biomarkers. Suitable biomarkers are vital for monitoring a person’s current metabolism and disease detection, but the dependence of a disease, a shift in metabolism, and registered spectral data are latent and complicated. Accordingly, specific methods of spectral data analysis are necessary. Currently, artificial intelligence is the most promising approach in this field. This chapter gives general information about the biomarker conception, molecular laser imaging, and artificial intelligence, including machine learning. The basic concepts introduced here are described in detail in Chapters 2–4.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
