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一种基于光谱主成分分析的复合硬/软组织荧光图像研究框架。

A Spectral Principal Component Analysis-Based Framework for Composite Hard/Soft Tissue Fluorescence Image Investigation.

作者信息

Piriou Marie, Lorenzo Corinne, Raymond-Letron Isabelle, Coronas-Dupuis Sophie, Pieruccioni Laetitia, Rouquette Jacques, Guissard Christophe, Chaumont Jade, Casteilla Louis, Planat-Benard Valérie, Kemoun Philippe, Monsarrat Paul

机构信息

Dental Faculty and Hospital of Toulouse-Toulouse Institute of Oral Medicine and Science, CHU de Toulouse, Toulouse, France.

Restore Research Center, Université de Toulouse, INSERM 1301, CNRS 5070, EFS, ENVT, Toulouse, France.

出版信息

Front Physiol. 2022 Jul 13;13:899626. doi: 10.3389/fphys.2022.899626. eCollection 2022.

Abstract

Traditional thin sectioning microscopy of large bone and dental tissue samples using demineralization may disrupt structure morphologies and even damage soft tissues, thus compromising the histopathological investigation. Here, we developed a synergistic and original framework on thick sections based on wide-field multi-fluorescence imaging and spectral Principal Component Analysis (sPCA) as an alternative, fast, versatile, and reliable solution, suitable for highly mineralized tissue structure sustain and visualization. Periodontal 2-mm thick sections were stained with a solution containing five fluorescent dyes chosen for their ability to discriminate close tissues, and acquisitions were performed with a multi-zoom macroscope for blue, green, red, and NIR (near-infrared) emissions. Eigen-images derived from both standard scaler (Std) and Contrast Limited Adaptive Histogram Equalization (Clahe) pre-preprocessing significantly enhanced tissue contrasts, highly suitable for histopathological investigation with an detail for sub-tissue structure discrimination. Using this method, it is possible to preserve and delineate accurately the different anatomical/morphological features of the periodontium, a complex tooth-supporting multi-tissue. Indeed, we achieve characterization of gingiva, alveolar bone, cementum, and periodontal ligament tissues. The ease and adaptability of this approach make it an effective method for providing high-contrast features that are not usually available in standard staining histology. Beyond periodontal investigations, this first proof of concept of an sPCA solution for optical microscopy of complex structures, especially including mineralized tissues opens new perspectives to deal with other chronic diseases involving complex tissue and organ defects. Overall, such an imaging framework appears to be a novel and convenient strategy for optical microscopy investigation.

摘要

使用脱矿质法对大型骨骼和牙齿组织样本进行传统的薄切片显微镜检查可能会破坏结构形态,甚至损坏软组织,从而影响组织病理学研究。在此,我们基于宽场多荧光成像和光谱主成分分析(sPCA)开发了一种用于厚切片的协同且原创的框架,作为一种替代的、快速、通用且可靠的解决方案,适用于高度矿化组织结构的维持和可视化。用含有五种荧光染料的溶液对2毫米厚的牙周切片进行染色,这些染料因其能够区分相邻组织的能力而被选用,并使用多变焦宏观显微镜对蓝色、绿色、红色和近红外(NIR)发射光进行采集。来自标准缩放器(Std)和对比度受限自适应直方图均衡化(Clahe)预处理的特征图像显著增强了组织对比度,非常适合用于组织病理学研究以及亚组织结构区分的详细观察。使用这种方法,可以准确地保留和描绘牙周组织(一种复杂的牙齿支持多组织)的不同解剖/形态特征。事实上,我们实现了对牙龈、牙槽骨、牙骨质和牙周韧带组织的表征。这种方法的简便性和适应性使其成为一种有效的方法,可提供标准染色组织学中通常无法获得的高对比度特征。除了牙周研究之外,这种用于复杂结构(特别是包括矿化组织)光学显微镜检查的sPCA解决方案的首个概念验证为处理涉及复杂组织和器官缺陷的其他慢性疾病开辟了新的前景。总体而言,这样的成像框架似乎是一种用于光学显微镜检查的新颖且便捷的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70b1/9325997/7e4f7506fab9/fphys-13-899626-g001.jpg

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