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Article(id=1320389007717028127, tenantId=1146029695717560320, journalId=1319373289681944729, issueId=1320388933154878311, articleNumber=null, orderNo=null, doi=10.11876/mimt202504007, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1792734871080, onlineDateStr=2026-10-23, pubDate=1754755200000, pubDateStr=2025-08-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792734871080, onlineIssueDateStr=2026-10-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792734871080, creator=13701087609, updateTime=1792734871080, updator=13701087609, issue=Issue{id=1320388933154878311, tenantId=1146029695717560320, journalId=1319373289681944729, year='2025', volume='31', issue='4', pageStart='2', pageEnd='132', issueExtLink='null', onlineDate='null', pubDate='1754755200000', pubDateStr='2025-08-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1792734853304, creator='13701087609', updateTime=1792746408152, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1320437397758791917, tenantId=1146029695717560320, journalId=1319373289681944729, issueId=1320388933154878311, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1320437397758791918, tenantId=1146029695717560320, journalId=1319373289681944729, issueId=1320388933154878311, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=67, endPage=72, ext={EN=ArticleExt(id=1320389009684156704, articleId=1320389007717028127, tenantId=1146029695717560320, journalId=1319373289681944729, language=EN, title=Live-cell panoramic super-resolution microscopy: techniques and applications, columnId=null, journalTitle=Modern Instruments & Medical Treatment, columnName=null, runingTitle=null, highlight=null, articleAbstract=
Objective

Based on live-cell panoramic super-resolution microscopy, complemented by AI-based image segmentation algorithms, we are developing methods for dynamically observing the entire life cycle of living cells.

Methods

Using COS-7 as a model, the mitotic process, subcellular organelle interactions, and intercellular communication were dynamically observed in panorama through live-cell panoramic super-resolution microscopy. Optical diffraction tomography (ODT) was employed to enable dynamic tracking of subcellular organelles in living cells, while spinning disk confocal microscopy provided molecular-level specificity validation. Furthermore, AI-based segmentation algorithms were implemented to accomplish qualitative segmentation and quantitative analysis of subcellular organelles.

Results

The system avoids or mitigates phototoxicity, photobleaching, and other artificial interference associated with traditional fluorescence imaging, enabling native-state dynamic observation of living cells.

Conclusion

The dual-modality joint imaging establishes a “structure-function complementarity” research paradigm. This innovative fusion strategy not only overcomes the limitations of traditional single-modality imaging techniques but also provides a novel multidimensional dynamic observation approach for investigating cell-cell interactions and organelle-organelle interaction mechanisms.

, authors=Jiahui Liu1, 2, Yanqing Yang3, 4, Fei Chen3, Yanli Li3, Yijiang Wang3, Qiukai Feng3, Yuling Qin1, *, kebin Shi3, 5, authorsList=Jiahui Liu, Yanqing Yang, Fei Chen, Yanli Li, Yijiang Wang, Qiukai Feng, Yuling Qin, kebin Shi, authorCompany=null, correspAuthors=Yuling Qin, authorNote=null, correspAuthorsNote=null, copyrightStatement=All copyrights in 2025 belong to the sponsor of the journal.Not content published by the journal may be reproduced or abridged without authorization., copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1320389010208444705, articleId=1320389007717028127, tenantId=1146029695717560320, journalId=1319373289681944729, language=CN, title=活细胞全景超分辨显微成像技术与应用, columnId=1320388935667266410, journalTitle=现代仪器与医疗, columnName=技术进展, runingTitle=null, highlight=null, articleAbstract=
目的

基于活细胞全景超分辨显微镜，辅以基于人工智能的图像分割算法构建活细胞全生命周期的动态观测方法。

方法

以非洲绿猴肾上皮细胞（COS-7）为模型，通过活细胞全景超分辨显微镜对其有丝分裂过程、亚细胞器互作过程、细胞间通讯过程进行全景动态观测。利用光学衍射层析成像技术实现了对活细胞亚细胞器的动态追踪，通过转盘共聚焦技术实现了分子水平的特异性验证，通过基于人工智能的数据分割算法实现了对亚细胞器的定性分割和定量分析。

结果

与传统荧光成像技术相比，光学衍射层析成像技术避免了或者减轻了光毒性、光漂白以及其他人为干扰，实现了活细胞的原生态动态观测。

结论

这种创新的双模态联合成像策略形成了“结构—功能”互补的研究范式，不仅突破了传统单一成像技术的局限性，更为细胞互作、细胞器互作机制研究提供了全新的多维动态观测手段。

, authors=刘嘉慧1, 2, 杨燕青3, 4, 陈飞3, 李艳莉3, 王艺江3, 冯邱锴3, 秦玉岭1, *, 施可彬3, 5, authorsList=刘嘉慧, 杨燕青, 陈飞, 李艳莉, 王艺江, 冯邱锴, 秦玉岭, 施可彬, authorCompany=null, correspAuthors=秦玉岭, authorNote=

刘嘉慧，女，本科，工程师，研究方向：近红外二区活体成像，无标记超分辨显微成像技术与应用

, correspAuthorsNote=
秦玉岭，男，博士研究生，教授，研究方向：用多组学手段研究肿瘤细胞异质性，用多色免疫组织成像技术描绘肿瘤组织微环境空间组学信息，研发单细胞和数字化微流控芯片用于多重痕量生物标志物分析
, copyrightStatement=2025年版权归本刊主办单位所有未经本刊书面许可, 不得转载、摘编本刊所有文章内容。, copyrightOwner=中国科学器材公司, extLink=null, articleAbsUrl=null, sourceXml=8FH5GAEY3Xz/iNd0U8U2Xw==, magXml=4VSq80T+M4PR0YUhSD8Anw==, pdfUrl=null, pdf=ZWXXnaEF18TrPbq9IQB38g==, pdfFileSize=2241424, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=paELCVJlQvv8m7s6my+CGQ==, mapNumber=null, fund=null)}, authors=[Author(id=1320389011949080882, tenantId=1146029695717560320, journalId=1319373289681944729, articleId=1320389007717028127, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1320389012037161269, tenantId=1146029695717560320, journalId=1319373289681944729, articleId=1320389007717028127, authorId=1320389011949080882, language=EN, stringName=Jiahui Liu, firstName=Jiahui, middleName=null, lastName=Liu, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=1, 2, address=1.School of Public Health, Nantong University, Nantong 226000, China
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刘嘉慧，女，本科，工程师，研究方向：近红外二区活体成像，无标记超分辨显微成像技术与应用

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刘嘉慧，女，本科，工程师，研究方向：近红外二区活体成像，无标记超分辨显微成像技术与应用

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活细胞全景超分辨显微成像技术与应用
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刘嘉慧 1, 2 , 杨燕青 3, 4 , 陈飞 3 , 李艳莉 3 , 王艺江 3 , 冯邱锴 3 , 秦玉岭 1, * , 施可彬 3, 5
现代仪器与医疗 | 技术进展 2025,31(4): 67-72
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现代仪器与医疗 |技术进展 2025 , 31 (4) : 67 -72
活细胞全景超分辨显微成像技术与应用
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刘嘉慧，女，本科，工程师，研究方向：近红外二区活体成像，无标记超分辨显微成像技术与应用

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刘嘉慧，女，本科，工程师，研究方向：近红外二区活体成像，无标记超分辨显微成像技术与应用

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刘嘉慧1, 2, 杨燕青3, 4, 陈飞3, 李艳莉3, 王艺江3, 冯邱锴3, 秦玉岭1, *, 施可彬3, 5
作者信息
  • 1.南通大学公共卫生学院，南通　226000
  • 2.南通市中西医结合医院检验科，南通　226000
  • 3.北京大学长三角光电科学研究院，南通　226000
  • 4.澄观光学科技（南通）有限公司，南通　226000
  • 5.人工微结构和介观物理国家重点实验室，北京大学物理学院，北京　100871
通讯作者:
秦玉岭，男，博士研究生，教授，研究方向：用多组学手段研究肿瘤细胞异质性，用多色免疫组织成像技术描绘肿瘤组织微环境空间组学信息，研发单细胞和数字化微流控芯片用于多重痕量生物标志物分析
作者简介:

刘嘉慧，女，本科，工程师，研究方向：近红外二区活体成像，无标记超分辨显微成像技术与应用

Live-cell panoramic super-resolution microscopy: techniques and applications
Jiahui Liu1, 2, Yanqing Yang3, 4, Fei Chen3, Yanli Li3, Yijiang Wang3, Qiukai Feng3, Yuling Qin1, *, kebin Shi3, 5
Affiliations
  • 1.School of Public Health, Nantong University, Nantong 226000, China
  • 2.Laboratory Department, Nantong Integrated Traditional Chinese and Western Medicine Hospital, Nantong 226000, China
  • 3.Peking University Yangtze Delta Institute of Optoelectronics, Nantong 226000, China
  • 4.Pellucid Optics Technology (Nantong) Co., Ltd., Nantong 226000, China
  • 5.State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Peking University, Beijing 100871, China
出版时间: 2025-08-10 doi: 10.11876/mimt202504007
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摘要
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目的

基于活细胞全景超分辨显微镜，辅以基于人工智能的图像分割算法构建活细胞全生命周期的动态观测方法。

方法

以非洲绿猴肾上皮细胞（COS-7）为模型，通过活细胞全景超分辨显微镜对其有丝分裂过程、亚细胞器互作过程、细胞间通讯过程进行全景动态观测。利用光学衍射层析成像技术实现了对活细胞亚细胞器的动态追踪，通过转盘共聚焦技术实现了分子水平的特异性验证，通过基于人工智能的数据分割算法实现了对亚细胞器的定性分割和定量分析。

结果

与传统荧光成像技术相比，光学衍射层析成像技术避免了或者减轻了光毒性、光漂白以及其他人为干扰，实现了活细胞的原生态动态观测。

结论

这种创新的双模态联合成像策略形成了“结构—功能”互补的研究范式，不仅突破了传统单一成像技术的局限性，更为细胞互作、细胞器互作机制研究提供了全新的多维动态观测手段。

无标记成像  /  超分辨成像  /  转盘共聚焦  /  数据分割  /  人工智能
Objective

Based on live-cell panoramic super-resolution microscopy, complemented by AI-based image segmentation algorithms, we are developing methods for dynamically observing the entire life cycle of living cells.

Methods

Using COS-7 as a model, the mitotic process, subcellular organelle interactions, and intercellular communication were dynamically observed in panorama through live-cell panoramic super-resolution microscopy. Optical diffraction tomography (ODT) was employed to enable dynamic tracking of subcellular organelles in living cells, while spinning disk confocal microscopy provided molecular-level specificity validation. Furthermore, AI-based segmentation algorithms were implemented to accomplish qualitative segmentation and quantitative analysis of subcellular organelles.

Results

The system avoids or mitigates phototoxicity, photobleaching, and other artificial interference associated with traditional fluorescence imaging, enabling native-state dynamic observation of living cells.

Conclusion

The dual-modality joint imaging establishes a “structure-function complementarity” research paradigm. This innovative fusion strategy not only overcomes the limitations of traditional single-modality imaging techniques but also provides a novel multidimensional dynamic observation approach for investigating cell-cell interactions and organelle-organelle interaction mechanisms.

Label-free imaging  /  Super-resolution imaging  /  Spinning-disk confocal microscopy  /  Data segmentation  /  Artificial intelligence
刘嘉慧, 杨燕青, 陈飞, 李艳莉, 王艺江, 冯邱锴, 秦玉岭, 施可彬. 活细胞全景超分辨显微成像技术与应用. 现代仪器与医疗, 2025 , 31 (4) : 67 -72 . DOI: 10.11876/mimt202504007
Jiahui Liu, Yanqing Yang, Fei Chen, Yanli Li, Yijiang Wang, Qiukai Feng, Yuling Qin, kebin Shi. Live-cell panoramic super-resolution microscopy: techniques and applications[J]. Modern Instruments & Medical Treatment, 2025 , 31 (4) : 67 -72 . DOI: 10.11876/mimt202504007
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2025年第31卷第4期
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doi: 10.11876/mimt202504007
  • 首发时间：2026-10-23
  • 出版时间：2025-08-10
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国家重点研发计划(2022YFF0712500; 2023YFF0722600)
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    1.南通大学公共卫生学院，南通　226000
    2.南通市中西医结合医院检验科，南通　226000
    3.北京大学长三角光电科学研究院，南通　226000
    4.澄观光学科技（南通）有限公司，南通　226000
    5.人工微结构和介观物理国家重点实验室，北京大学物理学院，北京　100871

通讯作者:

秦玉岭，男，博士研究生，教授，研究方向：用多组学手段研究肿瘤细胞异质性，用多色免疫组织成像技术描绘肿瘤组织微环境空间组学信息，研发单细胞和数字化微流控芯片用于多重痕量生物标志物分析
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
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红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
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