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相关显微镜结合二次离子质谱和电子显微镜:用于图像融合的强度-色调-饱和度和拉普拉斯金字塔方法的比较。

Correlative Microscopy Combining Secondary Ion Mass Spectrometry and Electron Microscopy: Comparison of Intensity-Hue-Saturation and Laplacian Pyramid Methods for Image Fusion.

机构信息

Advanced Instrumentation for Ion Nano-Analytics (AINA), MRT Department, Institute of Science and Technology (LIST) , 4422 Belvaux, Luxembourg.

Toxalim (Research Centre in Food Toxicology), Université de Toulouse, INRA, ENVT, INP-Purpan, UPS , 31027 Toulouse, France.

出版信息

Anal Chem. 2017 Oct 17;89(20):10702-10710. doi: 10.1021/acs.analchem.7b01256. Epub 2017 Sep 29.

Abstract

Correlative microscopy combining various imaging modalities offers powerful insights into obtaining a comprehensive understanding of physical, chemical, and biological phenomena. In this article, we investigate two approaches for image fusion in the context of combining the inherently lower-resolution chemical images obtained using secondary ion mass spectrometry (SIMS) with the high-resolution ultrastructural images obtained using electron microscopy (EM). We evaluate the image fusion methods with three different case studies selected to broadly represent the typical samples in life science research: (i) histology (unlabeled tissue), (ii) nanotoxicology, and (iii) metabolism (isotopically labeled tissue). We show that the intensity-hue-saturation fusion method often applied for EM-sharpening can result in serious image artifacts, especially in cases where different contrast mechanisms interplay. Here, we introduce and demonstrate Laplacian pyramid fusion as a powerful and more robust alternative method for image fusion. Both physical and technical aspects of correlative image overlay and image fusion specific to SIMS-based correlative microscopy are discussed in detail alongside the advantages, limitations, and the potential artifacts. Quantitative metrics to evaluate the results of image fusion are also discussed.

摘要

相关显微镜结合各种成像模式为深入了解物理、化学和生物现象提供了强大的见解。在本文中,我们研究了两种在结合使用二次离子质谱 (SIMS) 获得的固有低分辨率化学图像与使用电子显微镜 (EM) 获得的高分辨率超微结构图像的情况下进行图像融合的方法。我们使用三个不同的案例研究评估了图像融合方法,这些案例研究广泛代表了生命科学研究中的典型样本:(i) 组织学(未标记的组织),(ii) 纳米毒理学,和 (iii) 代谢(同位素标记的组织)。我们表明,常用于 EM 锐化的强度-色调-饱和度融合方法可能会导致严重的图像伪影,特别是在不同的对比机制相互作用的情况下。在这里,我们引入并演示了拉普拉斯金字塔融合作为一种强大且更稳健的图像融合替代方法。详细讨论了基于 SIMS 的相关显微镜中相关图像叠加和图像融合的物理和技术方面,以及优点、局限性和潜在的伪影。还讨论了评估图像融合结果的定量指标。

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