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变焦距介观器件和深度学习的体内智能荧光内窥。

In Vivo Intelligent Fluorescence Endo-Microscopy by Varifocal Meta-Device and Deep Learning.

机构信息

Department of Biomedical Engineering, National Taiwan University, Taipei, 10051, Taiwan.

Institute of Medical Device and Imaging, National Taiwan University, Taipei, 10051, Taiwan.

出版信息

Adv Sci (Weinh). 2024 May;11(20):e2307837. doi: 10.1002/advs.202307837. Epub 2024 Mar 15.

DOI:10.1002/advs.202307837
PMID:38488694
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11132035/
Abstract

Endo-microscopy is crucial for real-time 3D visualization of internal tissues and subcellular structures. Conventional methods rely on axial movement of optical components for precise focus adjustment, limiting miniaturization and complicating procedures. Meta-device, composed of artificial nanostructures, is an emerging optical flat device that can freely manipulate the phase and amplitude of light. Here, an intelligent fluorescence endo-microscope is developed based on varifocal meta-lens and deep learning (DL). The breakthrough enables in vivo 3D imaging of mouse brains, where varifocal meta-lens focal length adjusts through relative rotation angle. The system offers key advantages such as invariant magnification, a large field-of-view, and optical sectioning at a maximum focal length tuning range of ≈2 mm with 3 µm lateral resolution. Using a DL network, image acquisition time and system complexity are significantly reduced, and in vivo high-resolution brain images of detailed vessels and surrounding perivascular space are clearly observed within 0.1 s (≈50 times faster). The approach will benefit various surgical procedures, such as gastrointestinal biopsies, neural imaging, brain surgery, etc.

摘要

内窥显微镜对于实时 3D 可视化内部组织和亚细胞结构至关重要。传统方法依赖于光学组件的轴向运动来进行精确的焦点调整,这限制了微型化并使操作复杂化。元器件由人工纳米结构组成,是一种新兴的光学平板器件,可以自由地操控光的相位和幅度。在此,基于变焦点元透镜和深度学习 (DL) 开发了一种智能荧光内窥显微镜。该突破实现了对小鼠大脑的活体 3D 成像,其中变焦点元透镜的焦距通过相对旋转角度进行调整。该系统具有不变的放大率、大视野和光学切片等关键优势,在最大焦距调节范围内为 ≈2mm,具有 3µm 的横向分辨率。通过使用 DL 网络,大大减少了图像采集时间和系统复杂性,并且在 0.1s 内(约快 50 倍)可以清楚地观察到体内高分辨率的详细血管和周围血管周围空间的大脑图像。该方法将有益于各种手术程序,例如胃肠道活检、神经成像、脑部手术等。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e0a/11132035/f2e195f83472/ADVS-11-2307837-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e0a/11132035/33b2ac72ccf0/ADVS-11-2307837-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e0a/11132035/f69abe6efcbe/ADVS-11-2307837-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e0a/11132035/00e8335a8a7a/ADVS-11-2307837-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e0a/11132035/9b52e5f1ae8a/ADVS-11-2307837-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e0a/11132035/f2e195f83472/ADVS-11-2307837-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e0a/11132035/33b2ac72ccf0/ADVS-11-2307837-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e0a/11132035/f69abe6efcbe/ADVS-11-2307837-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e0a/11132035/00e8335a8a7a/ADVS-11-2307837-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e0a/11132035/9b52e5f1ae8a/ADVS-11-2307837-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e0a/11132035/f2e195f83472/ADVS-11-2307837-g006.jpg

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本文引用的文献

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2
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Nat Commun. 2023 Apr 12;14(1):2063. doi: 10.1038/s41467-023-37606-6.
3
Artificial intelligence and automation in endoscopy and surgery.内镜检查与手术中的人工智能和自动化
用于三色扫描光纤内窥镜的逆设计大视场多色超构透镜
Commun Eng. 2025 Mar 19;4(1):53. doi: 10.1038/s44172-025-00377-7.
4
A Review of Cascaded Metasurfaces for Advanced Integrated Devices.用于先进集成器件的级联超表面综述。
Micromachines (Basel). 2024 Dec 10;15(12):1482. doi: 10.3390/mi15121482.
Nat Rev Gastroenterol Hepatol. 2023 Mar;20(3):171-182. doi: 10.1038/s41575-022-00701-y. Epub 2022 Nov 9.
4
Metasurfaces-based imaging and applications: from miniaturized optical components to functional imaging platforms.基于超表面的成像及其应用:从微型光学元件到功能成像平台。
Nanoscale Adv. 2020 Jan 15;2(2):605-625. doi: 10.1039/c9na00751b. eCollection 2020 Feb 18.
5
Metasurface-based bijective illumination collection imaging provides high-resolution tomography in three dimensions.基于超表面的双射照明采集成像可提供三维高分辨率断层扫描。
Nat Photonics. 2022 Mar;16(3):203-211. doi: 10.1038/s41566-022-00956-6. Epub 2022 Feb 14.
6
Artificial Intelligence in Meta-optics.人工智能在超表面光学中的应用。
Chem Rev. 2022 Oct 12;122(19):15356-15413. doi: 10.1021/acs.chemrev.2c00012. Epub 2022 Jun 24.
7
Single-layer spatial analog meta-processor for imaging processing.单层空间模拟元处理器,用于成像处理。
Nat Commun. 2022 Apr 21;13(1):2188. doi: 10.1038/s41467-022-29732-4.
8
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Small Methods. 2022 Apr;6(4):e2101228. doi: 10.1002/smtd.202101228. Epub 2022 Feb 24.
9
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10
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IEEE Trans Med Imaging. 2021 Nov;40(11):3229-3237. doi: 10.1109/TMI.2021.3091207. Epub 2021 Oct 27.