深度学习增强显微镜技术：一种更快、视野更宽、分辨率更高的自发荧光-谐波显微镜技术。
Deep learning augmented microscopy: a faster, wider view, higher resolution autofluorescence-harmonic microscopy.
作者信息
Tian Lei
机构信息
Department of Electrical and Computer Engineering, Boston University, Boston, MA, 02215, USA.
Department of Biomedical Engineering, Boston University, Boston, MA, 02215, USA.
出版信息
Light Sci Appl. 2022 Apr 24;11(1):109. doi: 10.1038/s41377-022-00801-z.
Abstract
Deep learning enables bypassing the tradeoffs between imaging speed, field of view, and spatial resolution in autofluorescence-harmonic microscopy.
摘要
深度学习能够在自发荧光谐波显微镜中绕过成像速度、视野和空间分辨率之间的权衡。
相似文献
1
Deep learning augmented microscopy: a faster, wider view, higher resolution autofluorescence-harmonic microscopy.深度学习增强显微镜技术：一种更快、视野更宽、分辨率更高的自发荧光-谐波显微镜技术。
Light Sci Appl. 2022 Apr 24;11(1):109. doi: 10.1038/s41377-022-00801-z.
2
Deep learning autofluorescence-harmonic microscopy.深度学习自发荧光-谐波显微镜
Light Sci Appl. 2022 Mar 29;11(1):76. doi: 10.1038/s41377-022-00768-x.
3
Deep learning massively accelerates super-resolution localization microscopy.深度学习极大地加速了超分辨率定位显微镜。
Nat Biotechnol. 2018 Jun;36(5):460-468. doi: 10.1038/nbt.4106. Epub 2018 Apr 16.
4
Second harmonic generation microscopy using pixel reassignment.基于像素重分配的二次谐波产生显微镜技术
J Microsc. 2021 Jan;281(1):97-105. doi: 10.1111/jmi.12956. Epub 2020 Sep 2.
5
A survey on applications of deep learning in microscopy image analysis.深度学习在显微镜图像分析中的应用调查。
Comput Biol Med. 2021 Jul;134:104523. doi: 10.1016/j.compbiomed.2021.104523. Epub 2021 May 29.
6
Resolution enhancement in scanning electron microscopy using deep learning.利用深度学习提高扫描电子显微镜分辨率。
Sci Rep. 2019 Aug 19;9(1):12050. doi: 10.1038/s41598-019-48444-2.
7
Organized Aggregation of Porphyrins in Lipid Bilayers for Third Harmonic Generation Microscopy.用于三次谐波产生显微镜的脂质双层中卟啉的有序聚集。
Angew Chem Int Ed Engl. 2015 Nov 16;54(47):13928-32. doi: 10.1002/anie.201506171. Epub 2015 Sep 29.
8
DLBI: deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy.DLBI：用于超分辨率荧光显微镜结构重建的深度学习引导贝叶斯推断。
Bioinformatics. 2018 Jul 1;34(13):i284-i294. doi: 10.1093/bioinformatics/bty241.
9
Taking a deep look: modern microscopy technologies to optimize the design and functionality of biocompatible scaffolds for tissue engineering in regenerative medicine.深入探究：现代显微镜技术在优化组织工程生物相容性支架的设计和功能方面的应用
J R Soc Interface. 2013 Jul 17;10(86):20130263. doi: 10.1098/rsif.2013.0263. Print 2013 Sep 6.
10
Deep learning enables confocal laser-scanning microscopy with enhanced resolution.深度学习使共聚焦激光扫描显微镜具有更高的分辨率。
Opt Lett. 2021 Oct 1;46(19):4932-4935. doi: 10.1364/OL.440561.
引用本文的文献
1
Model-Based Explainable Deep Learning for Light-Field Microscopy Imaging.基于模型的光场显微镜成像可解释深度学习
IEEE Trans Image Process. 2024;33:3059-3074. doi: 10.1109/TIP.2024.3387297. Epub 2024 Apr 30.
2
Fluorescence Microscopy with Deep UV, Near UV, and Visible Excitation for Detection of Microorganisms.深紫外、近紫外和可见激发的荧光显微镜用于微生物检测。
Astrobiology. 2024 Mar;24(3):300-317. doi: 10.1089/ast.2023.0020.
本文引用的文献
1
Deep learning autofluorescence-harmonic microscopy.深度学习自发荧光-谐波显微镜
Light Sci Appl. 2022 Mar 29;11(1):76. doi: 10.1038/s41377-022-00768-x.
2
Reliable deep-learning-based phase imaging with uncertainty quantification.基于深度学习的可靠相位成像及不确定性量化
Optica. 2019 May;6(5):618-619. doi: 10.1364/optica.6.000618. Epub 2019 May 7.
3
Microsecond fingerprint stimulated Raman spectroscopic imaging by ultrafast tuning and spatial-spectral learning.微秒级指纹激发的拉曼光谱成像通过超快调谐和空间光谱学习。
Nat Commun. 2021 May 24;12(1):3052. doi: 10.1038/s41467-021-23202-z.
4
Deep Learning in Biomedical Optics.深度学习在生物医学光学中的应用。
Lasers Surg Med. 2021 Aug;53(6):748-775. doi: 10.1002/lsm.23414. Epub 2021 May 20.
5
Deep learning enables structured illumination microscopy with low light levels and enhanced speed.深度学习使结构光照明显微镜能够在低光水平和增强的速度下工作。
Nat Commun. 2020 Apr 22;11(1):1934. doi: 10.1038/s41467-020-15784-x.
6
Deep learning enables cross-modality super-resolution in fluorescence microscopy.深度学习可实现荧光显微镜的跨模态超分辨率。
Nat Methods. 2019 Jan;16(1):103-110. doi: 10.1038/s41592-018-0239-0. Epub 2018 Dec 17.
7
Content-aware image restoration: pushing the limits of fluorescence microscopy.内容感知图像恢复：推动荧光显微镜的极限。
Nat Methods. 2018 Dec;15(12):1090-1097. doi: 10.1038/s41592-018-0216-7. Epub 2018 Nov 26.
8
Slide-free virtual histochemistry (Part II): detection of field cancerization.无玻片虚拟组织化学（第二部分）：场癌化的检测
Biomed Opt Express. 2018 Oct 5;9(11):5253-5268. doi: 10.1364/BOE.9.005253. eCollection 2018 Nov 1.
9
Slide-free virtual histochemistry (Part I): development via nonlinear optics.无玻片虚拟组织化学（第一部分）：通过非线性光学技术的发展
Biomed Opt Express. 2018 Oct 5;9(11):5240-5252. doi: 10.1364/BOE.9.005240. eCollection 2018 Nov 1.
10
Intravital imaging by simultaneous label-free autofluorescence-multiharmonic microscopy.基于免标记自发荧光-多谐次显微镜的活体成像。
Nat Commun. 2018 May 29;9(1):2125. doi: 10.1038/s41467-018-04470-8.
Zotero 插件