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一种用于高分辨率三维断层成像的多模态光片显微镜,具有增强的拉曼散射和计算去噪功能。

A Multi-Modal Light Sheet Microscope for High-Resolution 3D Tomographic Imaging with Enhanced Raman Scattering and Computational Denoising.

作者信息

Kumari Pooja, Van Marwick Björn, Kern Johann, Rädle Matthias

机构信息

CeMOS Research and Transfer Center, Mannheim University of Applied Sciences, 68163 Mannheim, Germany.

Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany.

出版信息

Sensors (Basel). 2025 Apr 9;25(8):2386. doi: 10.3390/s25082386.

DOI:10.3390/s25082386
PMID:40285078
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12031234/
Abstract

Three-dimensional (3D) cellular models, such as spheroids, serve as pivotal systems for understanding complex biological phenomena in histology, oncology, and tissue engineering. In response to the growing need for advanced imaging capabilities, we present a novel multi-modal Raman light sheet microscope designed to capture elastic (Rayleigh) and inelastic (Raman) scattering, along with fluorescence signals, in a single platform. By leveraging a shorter excitation wavelength (532 nm) to boost Raman scattering efficiency and incorporating robust fluorescence suppression, the system achieves label-free, high-resolution tomographic imaging without the drawbacks commonly associated with near-infrared modalities. An accompanying Deep Image Prior (DIP) seamlessly integrates with the microscope to provide unsupervised denoising and resolution enhancement, preserving critical molecular details and minimizing extraneous artifacts. Altogether, this synergy of optical and computational strategies underscores the potential for in-depth, 3D imaging of biomolecular and structural features in complex specimens and sets the stage for future advancements in biomedical research, diagnostics, and therapeutics.

摘要

三维(3D)细胞模型,如球体,是理解组织学、肿瘤学和组织工程中复杂生物学现象的关键系统。为了满足对先进成像能力日益增长的需求,我们展示了一种新型的多模态拉曼光片显微镜,该显微镜设计用于在单个平台上捕获弹性(瑞利)和非弹性(拉曼)散射以及荧光信号。通过利用较短的激发波长(532nm)来提高拉曼散射效率,并加入强大的荧光抑制功能,该系统实现了无标记、高分辨率断层成像,而没有通常与近红外模态相关的缺点。配套的深度图像先验(DIP)与显微镜无缝集成,以提供无监督的去噪和分辨率增强,保留关键的分子细节并最小化外来伪影。总之,这种光学和计算策略的协同作用突出了对复杂标本中的生物分子和结构特征进行深度三维成像的潜力,并为生物医学研究、诊断和治疗的未来进展奠定了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aff/12031234/7ab02e7f24ff/sensors-25-02386-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aff/12031234/65c1ada730ec/sensors-25-02386-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aff/12031234/b0679ae0cd79/sensors-25-02386-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aff/12031234/27b788f3fa75/sensors-25-02386-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aff/12031234/876879398d72/sensors-25-02386-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aff/12031234/74fc29bffd87/sensors-25-02386-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aff/12031234/d31487fb5f9b/sensors-25-02386-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aff/12031234/2f494560260e/sensors-25-02386-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aff/12031234/0318345c3b0f/sensors-25-02386-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aff/12031234/ed1d686b6038/sensors-25-02386-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aff/12031234/7ab02e7f24ff/sensors-25-02386-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aff/12031234/65c1ada730ec/sensors-25-02386-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aff/12031234/b0679ae0cd79/sensors-25-02386-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aff/12031234/27b788f3fa75/sensors-25-02386-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aff/12031234/876879398d72/sensors-25-02386-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aff/12031234/74fc29bffd87/sensors-25-02386-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aff/12031234/d31487fb5f9b/sensors-25-02386-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aff/12031234/2f494560260e/sensors-25-02386-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aff/12031234/0318345c3b0f/sensors-25-02386-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aff/12031234/ed1d686b6038/sensors-25-02386-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aff/12031234/7ab02e7f24ff/sensors-25-02386-g010.jpg

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3
Zero-shot learning enables instant denoising and super-resolution in optical fluorescence microscopy.
零样本学习可实现光学荧光显微镜的即时去噪和超分辨率。
Nat Commun. 2024 May 16;15(1):4180. doi: 10.1038/s41467-024-48575-9.
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