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组织病理学中纤维状胶原的实时偏光显微镜观察。

Real-time polarization microscopy of fibrillar collagen in histopathology.

机构信息

Laboratory for Optical and Computational Instrumentation, Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, 53706, USA.

Marine Biological Laboratory, University of Chicago, Woods Hole, MA, 02543, USA.

出版信息

Sci Rep. 2021 Sep 24;11(1):19063. doi: 10.1038/s41598-021-98600-w.

DOI:10.1038/s41598-021-98600-w
PMID:34561546
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8463693/
Abstract

Over the past two decades, fibrillar collagen reorganization parameters such as the amount of collagen deposition, fiber angle and alignment have been widely explored in numerous studies. These parameters are now widely accepted as stromal biomarkers and linked to disease progression and survival time in several cancer types. Despite all these advances, there has not been a significant effort to make it possible for clinicians to explore these biomarkers without adding steps to the clinical workflow or by requiring high-cost imaging systems. In this paper, we evaluate previously described polychromatic polarization microscope (PPM) to visualize collagen fibers with an optically generated color representation of fiber orientation and alignment when inspecting the sample by a regular microscope with minor modifications. This system does not require stained slides, but is compatible with histological stains such as H&E. Consequently, it can be easily accommodated as part of regular pathology review of tissue slides, while providing clinically useful insight into stromal composition.

摘要

在过去的二十年中,纤维胶原蛋白的重组参数,如胶原蛋白的沉积量、纤维角度和排列等,在众多研究中得到了广泛的探索。这些参数现在被广泛认为是基质生物标志物,并与几种癌症类型的疾病进展和生存时间有关。尽管取得了所有这些进展,但还没有做出重大努力,使临床医生能够在不增加临床工作流程步骤或不要求使用高成本成像系统的情况下探索这些生物标志物。在本文中,我们评估了先前描述的多色偏振显微镜(PPM),该显微镜通过常规显微镜对样本进行检查时,利用光学产生的纤维方向和排列的颜色表示来可视化胶原纤维,只需进行微小的修改。该系统不需要染色载玻片,但与 H&E 等组织学染色剂兼容。因此,它可以很容易地作为组织切片常规病理检查的一部分,同时为基质组成提供临床有用的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aeb7/8463693/93f0980a0420/41598_2021_98600_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aeb7/8463693/f8de8532c032/41598_2021_98600_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aeb7/8463693/e474daeef675/41598_2021_98600_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aeb7/8463693/893146356d05/41598_2021_98600_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aeb7/8463693/712cd0d010e5/41598_2021_98600_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aeb7/8463693/95eadbca9877/41598_2021_98600_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aeb7/8463693/e9f888763dd0/41598_2021_98600_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aeb7/8463693/93f0980a0420/41598_2021_98600_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aeb7/8463693/f8de8532c032/41598_2021_98600_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aeb7/8463693/e474daeef675/41598_2021_98600_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aeb7/8463693/893146356d05/41598_2021_98600_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aeb7/8463693/712cd0d010e5/41598_2021_98600_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aeb7/8463693/95eadbca9877/41598_2021_98600_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aeb7/8463693/e9f888763dd0/41598_2021_98600_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aeb7/8463693/93f0980a0420/41598_2021_98600_Fig7_HTML.jpg

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2
Collagen ultrastructural symmetry and its malignant alterations in human breast cancer revealed by polarization-resolved second-harmonic generation microscopy.偏振分辨二次谐波产生显微镜揭示的人乳腺癌胶原超微结构对称性及其恶性改变。
J Biophotonics. 2020 Aug;13(8):e202000159. doi: 10.1002/jbio.202000159. Epub 2020 Jun 22.
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Fibrillar Collagen Quantification With Curvelet Transform Based Computational Methods.
Commun Biol. 2025 Jan 8;8(1):17. doi: 10.1038/s42003-024-07386-w.
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Recent advances in label-free imaging techniques based on nonlinear optical microscopy to reveal the heterogeneity of the tumor microenvironment.基于非线性光学显微镜的无标记成像技术在揭示肿瘤微环境异质性方面的最新进展。
Biophys Rev. 2024 Sep 28;16(5):581-590. doi: 10.1007/s12551-024-01229-y. eCollection 2024 Oct.
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