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使用可扩展组织凝胶中的密集标记实现用于三维多重循环成像的高精度图像配准。

Highly accurate image registration for 3D multiplexed cyclic imaging using dense labeling in expandable tissue gels.

作者信息

Kim Hyunwoo, Kim Joon-Goon, Sim Jueun, Nam Hoyeon, Cho In, Shin Hyejin, Kwon Junyoung, Song Dae-Hyeon, Bae Seoungbin, Yoon Young-Gyu, Ku Taeyun, Chang Jae-Byum

机构信息

Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea.

Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea.

出版信息

PLoS Biol. 2025 Jul 3;23(7):e3003240. doi: 10.1371/journal.pbio.3003240. eCollection 2025 Jul.

Abstract

Multiplexed cyclic imaging in expandable tissue gels has been extensively studied to visualize numerous biomolecules at a nanoscale resolution in situ. Previous studies have employed sparse labels, such as DAPI or lectin staining, as registration markers. However, these sparse labels do not adequately capture the full extent of deformation across the entire region of interest. To overcome this challenge, we propose the use of dense labels, specifically fluorophore N-hydroxysuccinimide (NHS)-ester staining, as registration markers to achieve highly accurate image registration. We first tested several NHS-functionalized fluorophores as fiducial markers and identified the proper candidates for three-dimensional (3D) multiplexed cyclic imaging. We analyzed the registration accuracy between DAPI and NHS-ester staining and illustrated that dense label-based registration provides a more accurate registration performance. In the multiplexed imaging of expanded specimens, we observed that repetitive expansion/shrinking processes and chemical treatments for signal elimination can induce 3D nonlinear distortion. This sample distortion can be mitigated by re-embedding the tissue gel or replacing the chemical de-staining process with photobleaching-based signal removal or computational signal unmixing. With such an optimized experimental setup, we demonstrated 3D multiplexed cyclic imaging with nanoscale precision image registration. Finally, we prove that dense biological structures, such as actin, can be used as registration markers to achieve high registration accuracy. We anticipate that the proposed dense labeling strategy will overcome the technical limitations of multiplexed cyclic imaging in expandable tissue gels, offering high-precision registration. We expect it to be widely adopted by the biological and medical communities.

摘要

可膨胀组织凝胶中的多重循环成像已得到广泛研究,以在纳米级分辨率下原位可视化多种生物分子。先前的研究采用了诸如DAPI或凝集素染色等稀疏标记作为配准标记。然而,这些稀疏标记无法充分捕捉整个感兴趣区域的变形全貌。为了克服这一挑战,我们建议使用密集标记,特别是荧光团N-羟基琥珀酰亚胺(NHS)-酯染色,作为配准标记,以实现高精度的图像配准。我们首先测试了几种NHS功能化荧光团作为基准标记,并确定了用于三维(3D)多重循环成像的合适候选物。我们分析了DAPI和NHS-酯染色之间的配准精度,并表明基于密集标记的配准提供了更准确的配准性能。在膨胀标本的多重成像中,我们观察到重复的膨胀/收缩过程和用于信号消除的化学处理会导致3D非线性失真。这种样品失真可以通过重新包埋组织凝胶或用基于光漂白的信号去除或计算信号解混代替化学脱色过程来减轻。通过这样优化的实验设置,我们展示了具有纳米级精度图像配准的3D多重循环成像。最后,我们证明了诸如肌动蛋白等密集生物结构可以用作配准标记以实现高配准精度。我们预计所提出的密集标记策略将克服可膨胀组织凝胶中多重循环成像的技术限制,提供高精度配准。我们期望它能被生物学和医学界广泛采用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d690/12225881/25ce68a16c79/pbio.3003240.g001.jpg

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