Recent Advances in Structured Illumination Microscopy: From Fundamental Principles to AI-Enhanced Imaging.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Recent Advances in Structured Illumination Microscopy: From Fundamental Principles to AI-Enhanced Imaging.
Συγγραφείς: Zhang H; Department of Biomedical Engineering, MOE Key Laboratory of Biomedical Engineering, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, Hangzhou, 310027, China.; State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China., Zhu Y; Department of Biomedical Engineering, MOE Key Laboratory of Biomedical Engineering, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, Hangzhou, 310027, China.; State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China., Jin L; Department of Biomedical Engineering, MOE Key Laboratory of Biomedical Engineering, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, Hangzhou, 310027, China., Yang H; Department of Biomedical Engineering, MOE Key Laboratory of Biomedical Engineering, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, Hangzhou, 310027, China.; State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China., Wang J; Department of Biomedical Engineering, MOE Key Laboratory of Biomedical Engineering, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, Hangzhou, 310027, China.; State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China., Ablameyko S; National Academy of Sciences United Institute of Informatics Problems, Belarusian State University, Minsk, 220070, Republic of Belarus., Liu X; State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China., Xu Y; Department of Biomedical Engineering, MOE Key Laboratory of Biomedical Engineering, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, Hangzhou, 310027, China.; State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China.; Department of Endocrinology, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou, 310052, China.; Binjiang Institute of Zhejiang University, Hangzhou, 310053, China.
Πηγή: Small methods [Small Methods] 2025 May; Vol. 9 (5), pp. e2401616. Date of Electronic Publication: 2025 Mar 03.
Τύπος έκδοσης: Journal Article; Review; Research Support, Non-U.S. Gov't
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: WILEY-VCH Verlag GmbH & Co. KGaA Country of Publication: Germany NLM ID: 101724536 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2366-9608 (Electronic) Linking ISSN: 23669608 NLM ISO Abbreviation: Small Methods Subsets: MEDLINE
Imprint Name(s): Original Publication: Weinheim : WILEY-VCH Verlag GmbH & Co. KGaA, [2017]-
Ιατρικοί όροι (MeSH): Image Processing, Computer-Assisted*/methods , Microscopy*/methods , Lighting*/methods , Artificial Intelligence*, Deep Learning ; Humans ; Algorithms ; Neural Networks, Computer
Περίληψη: Structured illumination microscopy (SIM) has emerged as a pivotal super-resolution technique in biological imaging. This review aims to introduce the fundamental principles of SIM, primarily focuses on the latest developments in super-resolution SIM imaging, such as the light illumination and modulation devices, and the image reconstruction algorithms. Additionally, the application of deep learning (DL) technology in SIM imaging is explored, which is employed to enhance image quality, accelerate imaging and reconstruction speed or replace the current image reconstruction method. Furthermore, the key evaluation metrics are proposed and discussed for assessment of deep-learning neural networks, especially for their employment in SIM. Finally, the future integration of artificial intelligence (AI) with SIM system and the perspective of smart microscope are also discussed.
(© 2025 Wiley‐VCH GmbH.)
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Grant Information: 2021YFF0700305 National Key Research and Development Program of China; 226-2024-00059 Fundamental Research Funds for the Central Universities; LZ23H180002 Zhejiang Provincial Natural Science Foundation; 2024C03056 Zhejiang Provincial Natural Science Foundation; 2022RC009 Zhejiang University K.P.Chao's High Technology Development Foundation
Contributed Indexing: Keywords: artificial intelligence; deep learning; live‐cell imaging; structured illumination microscopy; super‐resolution imaging
Entry Date(s): Date Created: 20250303 Date Completed: 20250524 Latest Revision: 20250530
Update Code: 20260130
DOI: 10.1002/smtd.202401616
PMID: 40025917
Βάση Δεδομένων: MEDLINE
Περιγραφή
ISSN:2366-9608
DOI:10.1002/smtd.202401616