Label-Free Optical Metabolic Imaging in Cells and Tissues.

IF 12.8 1区 工程技术 Q1 ENGINEERING, BIOMEDICAL
Irene Georgakoudi, Kyle P Quinn
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引用次数: 4

Abstract

Over the last half century, the autofluorescence of the metabolic cofactors NADH (reduced nicotinamide adenine dinucleotide) and FAD (flavin adenine dinucleotide) has been quantified in a variety of cell types and disease states. With the spread of nonlinear optical microscopy techniques in biomedical research, NADH and FAD imaging has offered an attractive solution to noninvasively monitor cell and tissue status and elucidate dynamic changes in cell or tissue metabolism. Various tools and methods to measure the temporal, spectral, and spatial properties of NADH and FAD autofluorescence have been developed. Specifically, an optical redox ratio of cofactor fluorescence intensities and NADH fluorescence lifetime parameters have been used in numerous applications, but significant work remains to mature this technology for understanding dynamic changes in metabolism. This article describes the current understanding of our optical sensitivity to different metabolic pathways and highlights current challenges in the field. Recent progress in addressing these challenges and acquiring more quantitative information in faster and more metabolically relevant formats is also discussed.

细胞和组织中的无标记光学代谢成像。
在过去的半个世纪里,代谢辅助因子NADH(还原性烟酰胺腺嘌呤二核苷酸)和FAD(黄素腺嘌呤二核苷酸)的自身荧光已经在多种细胞类型和疾病状态中被量化。随着非线性光学显微镜技术在生物医学研究中的普及,NADH和FAD成像为无创监测细胞和组织状态以及阐明细胞或组织代谢的动态变化提供了一种有吸引力的解决方案。各种工具和方法来测量NADH和FAD自身荧光的时间,光谱和空间特性已经开发出来。具体来说,辅助因子荧光强度的光学氧化还原比和NADH荧光寿命参数已在许多应用中使用,但对于了解代谢的动态变化,该技术仍有待完善。本文描述了目前对不同代谢途径的光学敏感性的理解,并强调了该领域当前的挑战。本文还讨论了在应对这些挑战和以更快和更代谢相关的格式获取更多定量信息方面的最新进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Annual Review of Biomedical Engineering
Annual Review of Biomedical Engineering 工程技术-工程:生物医学
CiteScore
18.80
自引率
0.00%
发文量
14
期刊介绍: Since 1999, the Annual Review of Biomedical Engineering has been capturing major advancements in the expansive realm of biomedical engineering. Encompassing biomechanics, biomaterials, computational genomics and proteomics, tissue engineering, biomonitoring, healthcare engineering, drug delivery, bioelectrical engineering, biochemical engineering, and biomedical imaging, the journal remains a vital resource. The current volume has transitioned from gated to open access through Annual Reviews' Subscribe to Open program, with all articles published under a CC BY license.
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