Hyperspectral microscopy- applications of hyperspectral imaging techniques in different fields of science: a review of recent advances

高光谱成像 计算机科学 化学成像 样品(材料) 遥感 纳米技术 数据科学 人工智能 地理 材料科学 物理 热力学
作者
Kazi Saima Banu,Maricarmen Lerma,Sharif Uddin Ahmed,Jorge L. Gardea‐Torresdey
出处
期刊:Applied Spectroscopy Reviews [Informa]
卷期号:59 (7): 935-958 被引量:5
标识
DOI:10.1080/05704928.2023.2270035
摘要

AbstractHyperspectral imaging is a powerful analytical technique that is drawing more attention among the different disciplines due to its feasibility for in situ applications on imaging of living organisms. In this review article, we summarize the development and implementation of this technique in the different fields of science. It is important to acknowledge that the hyperspectral microscope, a specialized imaging tool, combines the power of microscopy with the ability to capture detailed spectral information about the sample studied. Unlike traditional microscopes, which only capture spatial information about a sample, hyperspectral microscopes also capture spectral data from each spatial point, resulting in a 3D data cube. The latest applications have been studied and described, including examples from the environmental and medical field. The broad possibilities related to hyperspectral microscopy were discussed and highlighted showing successful results. Hyperspectral microscopy is a revolutionary and reliable technique in the world of characterizing analytical tools.Keywords: Hyperspectral imagingenhanced dark-field hyperspectral microscopynondestructive techniquedarkfield hyperspectral microscopynanoparticles AcknowledgmentThe authors acknowledge Dr. Jose A. Hernandez-Viezcas for sharing his knowledge in hyperspectral microscopy. Dr. Kenneth Flores and Loren Ochoa for their assistance and support during this article's preparation and insight. J.L.G.-T acknowledges partial funding provided by the National Science Foundation (NSF) Engineering Research Center (ERC) on Nanotechnology-Enabled Water Treatment (EEC- 1449500). J.L.G.-T also acknowledges the Dudley family for the Endowed Research Professorship and the University of Texas systems' 2018 STARs Retention Award.Disclosure statementNo potential conflict of interest was reported by the author(s).
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