有关激光分子成像的基本概念

Y. Kistenev, A. Borisov, D. Vrazhnov
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引用次数: 0

摘要

激光分子成像处理的是分析生物分子在人体和生物来源样品中的空间分布和时间变化。类似的研究与生物标志物的发现和分析有关。合适的生物标志物对于监测一个人当前的代谢和疾病检测至关重要,但疾病的依赖性、代谢的变化和登记的光谱数据是潜在的和复杂的。因此,光谱数据分析的具体方法是必要的。目前,人工智能是该领域最有前途的方法。本章给出了关于生物标志物概念、分子激光成像和人工智能(包括机器学习)的一般信息。这里介绍的基本概念在第2-4章有详细的描述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fundamental Concepts Related to Laser Molecular Imaging
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.
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