现代仪器与医疗

光片荧光显微镜技术与应用

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陈思旭 ¹^,² , 何益 ¹^,² , 吴元卓 ¹^,² , 杨建文 ¹^,² , 胡津源 ¹^,² , 吴苏健 ¹^,² , 张欣 ¹^,²^,^*

现代仪器与医疗 | 技术进展 2025,31(4): 2-15

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现代仪器与医疗 |技术进展 2025 , 31 (4) : 2 -15

光片荧光显微镜技术与应用

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陈思旭¹^,², 何益¹^,², 吴元卓¹^,², 杨建文¹^,², 胡津源¹^,², 吴苏健¹^,², 张欣¹^,²^,^*

作者信息

^1.中国科学技术大学生物医学工程学院（苏州），生命科学与医学部，合肥　230026

^2.中国科学院苏州生物医学工程技术研究所，江苏省医用光学重点实验室，苏州　215163

通讯作者:

张欣，女，博士研究生，副研究员，研究方向：光学显微成像

作者简介:

陈思旭，男，在读博士研究生，研究方向：光学仪器

Technology and applications of light sheet fluorescence microscopy

Sixu Chen¹^,², Yi He¹^,², Yuanzhuo Wu¹^,², Jianwen Yang¹^,², Jinyuan Hu¹^,², Sujian Wu¹^,², Xin Zhang¹^,²^,^*

Affiliations

^1.Division of Life Sciences and Medicine, School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Hefei 230026, China

^2.Jiangsu Province Key Laboratory of Medical Optics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou 215163, China

出版时间: 2025-08-10 doi: 10.11876/mimt202504001

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摘要

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作为一种广泛应用于生物在体成像的实用工具，光片荧光显微镜（light sheet fluorescence microscopy，LSFM）因其成像速度快、分辨率高、光毒性及光漂白小的特点而深受生物学家青睐。本文介绍了LSFM的工作原理，计算了LSFM的成像分辨率，为物镜、相机选型提供参考；回顾了LSFM的发展历史，对目前已有的LSFM进行分类，介绍了基于高斯光束、无衍射光束的LSFM与视场扩展方法，并介绍了针对生物样品特性改进的扫描共焦平面激发（swept confocally-aligned planar excitation，SCAPE）显微镜与开顶式光片（open-top light-sheet，OTLS）显微镜；对使用LSFM在病理分析、神经科学、胚胎发育等生物研究方面取得的进展进行简单总结，展示了LSFM在肿瘤病理评估、人脑可视化分析、模式生物的神经系统与胚胎发育研究等方面的优势；最后对LSFM的发展方向与应用潜力进行了展望，其与人工智能、图像处理、光遗传等技术结合可能带来更叹为观止的科学发现。

关键词

光片荧光显微镜 / 工作原理 / 发展历史 / 病理分析 / 生物研究

Abstract

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As a widely utilized tool in the field of biological in vivo imaging, light-sheet fluorescence microscopy (LSFM) has become a mainstream tool among biologists due to its rapid imaging speed, high resolution, low phototoxicity, and reduced photobleaching effects. This paper introduces the operational principles of LSFM while calculating its imaging resolution to guide the selection of objective lenses and cameras. It reviews the developmental history of LSFM and classifies existing LSFM systems, particularly detailing implementations based on Gaussian beams and diffraction-free beams, along with field-of-view expansion methodologies. Specialized variants optimized for biological specimens including swept confocally aligned planar excitation (SCAPE) microscopy and open-top light-sheet (OTLS) microscopy are systematically introduced. The review further summarizes recent advancements enabled by LSFM in biological research domains such as pathological analysis, neuroscience, and embryonic development, demonstrating its exceptional capabilities in tumor pathology assessment, human brain visualization, and developmental studies of model organisms' nervous systems and embryogenesis. Finally, potential future directions for LSFM development are envisioned, highlighting that integration with artificial intelligence, advanced image processing, and optogenetic techniques may yield groundbreaking scientific discoveries.

Key words

Light sheet fluorescence microscopy / Operational principle / Development history / Pathological analysis / Biological research

引用本文

陈思旭, 何益, 吴元卓, 杨建文, 胡津源, 吴苏健, 张欣. 光片荧光显微镜技术与应用. 现代仪器与医疗, 2025 , 31 (4) : 2 -15 . DOI: 10.11876/mimt202504001

Sixu Chen, Yi He, Yuanzhuo Wu, Jianwen Yang, Jinyuan Hu, Sujian Wu, Xin Zhang. Technology and applications of light sheet fluorescence microscopy[J]. Modern Instruments & Medical Treatment, 2025 , 31 (4) : 2 -15 . DOI: 10.11876/mimt202504001

基金

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江苏省自然科学基金杰出青年基金项目(BK20240024)
中国科学院青年创新促进会优秀会员(Y2023087)
国家自然科学基金面上项目(62075235)
国家重点研发计划项目(2021YFF0700700)
中国科学院战略性先导科技专项(XDB1020000)

参考文献

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文献

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[1]

Lichtman J W, Conchello J A. Fluorescence microscopy[J]. Nature Methods, 2005, 2: 910-919.

[2]

Kim B, Naemura T. Blind depth-variant deconvolution of 3D data in wide-field fluorescence microscopy[J]. Scientific Reports, 2015, 5: 9894.

[3]

Wayne R O. Light and video microscopy[M]. 3rd ed. New York: Academic Press, 2019.

[4]

Zhou Q, Chen Z, Liu Y H, et al. Three-dimensional wide-field fluorescence microscopy for transcranial mapping of cortical microcirculation[J]. Nature Communications, 2022, 13: 7969.

[5]

Lichtman J W. Confocal microscopy[J]. Scientific American, 1994, 271(2): 40-45.

[6]

Brakenhoff G J. Imaging modes in confocal scanning light microscopy (CSLM)[J]. Journal of Microscopy, 1979, 117(2): 233-242.

[7]

Shotton D M. Confocal scanning optical microscopy and its applications for biological specimens[J]. Journal of Cell Science, 1989, 94(2): 175-206.

[8]

Wilson T. The scanning optical microscope[J]. Scanning, 1985, 7(2): 79-87.

[9]

He Y, Bao M, Chen Y, et al. Accuracy characterization of Shack–Hartmann sensor with residual error removal in spherical wavefront calibration[J]. Light: Advanced Manufacturing, 2023, 4(4): 393-403.

[10]

Chen Y, He Y, Wang J, et al. Automated cone photoreceptor cell identification in confocal adaptive optics scanning laser ophthalmoscope images based on object detection[J]. Journal of Innovative Optical Health Sciences, 2022, 15(1): 2250001.

[11]

Elliott A D. Confocal microscopy: principles and modern practices[J]. Current Protocols in Cytometry, 2020, 92(1): e68.

[12]

Laurent M, Johannin G, Gilbert N, et al. Power and limits of laser scanning confocal microscopy[J]. Biology of the Cell, 1994, 80(2-3): 229-240.

[13]

Klonis N, Rug M, Harper I, et al. Fluorescence photobleaching analysis for the study of cellular dynamics[J]. European Biophysics Journal, 2002, 31: 36-51.

[14]

Huisken J, Swoger J, Del Bene F, et al. Optical sectioning deep inside live embryos by selective plane illumination microscopy[J]. Science, 2004, 305(5686): 1007-1009.

[15]

Ritter J G, Veith R, Veenendaal A, et al. Light sheet microscopy for single molecule tracking in living tissue[J]. PloS One, 2010, 5(7): e11639.

[16]

Ahrens M B, Orger M B, Robson D N, et al. Whole-brain functional imaging at cellular resolution using light-sheet microscopy[J]. Nature Methods, 2013, 10: 413-420.

[17]

Amat F, Lemon W, Mossing D P, et al. Fast, accurate reconstruction of cell lineages from large-scale fluorescence microscopy data[J]. Nature Methods, 2014, 11: 951-958.

[18]

Olarte O E, Andilla J, Gualda E J, et al. Light-sheet microscopy: a tutorial[J]. Advances in Optics and Photonics, 2018, 10(1): 111-179.

[19]

Siedentopf H, Zsigmondy R. Uber sichtbarmachung und größenbestimmung ultramikoskopischer teilchen, mit besonderer anwendung auf goldrubingläser[J]. Annalen der Physik, 1902, 315(1): 1-39.

[20]

Voie A H, Burns D H, Spelman F A. Orthogonal - plane fluorescence optical sectioning: three - dimensional imaging of macroscopic biological specimens[J]. Journal of Microscopy, 1993, 170(3): 229-236.

[21]

Keller P J, Schmidt A D, Wittbrodt J, et al. Reconstruction of zebrafish early embryonic development by scanned light sheet microscopy[J]. Science, 2008, 322(5904): 1065-1069.

[22]

Keller P J, Schmidt A D, Santella A, et al. Fast, high-contrast imaging of animal development with scanned light sheet–based structured-illumination microscopy[J]. Nature Methods, 2010, 7: 637-642.

[23]

Reynaud E G, Tomancak P. Meeting report: first light sheet based fluorescence microscopy workshop[J]. Biotechnol J, 2010, 5(8): 798-804.

[24]

Method of the year 2014[J]. Nature Methods, 2015, 12: 1.

[25]

Dodt H U, Leischner U, Schierloh A, et al. Ultramicroscopy: three-dimensional visualization of neuronal networks in the whole mouse brain[J]. Nature Methods, 2007, 4: 331-336.

[26]

Jährling N, Becker K, Kramer E R, et al. 3D-visualization of nerve fiber bundles by ultramicroscopy[J]. Medical Laser Application, 2008, 23(4): 209-215.

[27]

Chang B J, Dean K M, Fiolka R. Systematic and quantitative comparison of lattice and Gaussian light-sheets[J]. Optics Express, 2020, 28(18): 27052-27077.

[28]

Fahrbach F O, Simon P, Rohrbach A. Microscopy with self-reconstructing beams[J]. Nature Photonics, 2010, 4: 780-785.

[29]

Vettenburg T, Dalgarno H I C, Nylk J, et al. Light-sheet microscopy using an Airy beam[J]. Nature Methods, 2014, 11: 541-544.

[30]

Yang Z, Prokopas M, Nylk J, et al. A compact Airy beam light sheet microscope with a tilted cylindrical lens[J]. Biomedical Optics Express, 2014, 5(10): 3434-3442.

[31]

Nylk J, McCluskey K, Aggarwal S, et al. Enhancement of image quality and imaging depth with Airy light-sheet microscopy in cleared and non-cleared neural tissue[J]. Biomedical Optics Express, 2016, 7(10): 4021-4033.

[32]

Fahrbach F O, Rohrbach A. Propagation stability of self-reconstructing Bessel beams enables contrast-enhanced imaging in thick media[J]. Nature Communications, 2012, 3: 632.

[33]

Baumgart E, Kubitscheck U. Scanned light sheet microscopy with confocal slit detection[J]. Optics Express, 2012, 20(19): 21805-21814.

[34]

Gao L, Zhu L, Li C, et al. Nonlinear light-sheet fluorescence microscopy by photobleaching imprinting[J]. Journal of the Royal Society Interface, 2014, 11(93): 20130851.

[35]

Gao L, Garcia-Uribe A, Liu Y, et al. Photobleaching imprinting microscopy: seeing clearer and deeper[J]. Journal of Cell Science, 2014, 127(2): 288-294.

[36]

Planchon T A, Gao L, Milkie D E, et al. Rapid three-dimensional isotropic imaging of living cells using Bessel beam plane illumination[J]. Nature Methods, 2011, 8(5): 417-423.

[37]

Escobet-Montalbán A, Gasparoli F M, Nylk J, et al. Three-photon light-sheet fluorescence microscopy[J]. Optics Letters, 2018, 43(21): 5484-5487.

[38]

Chen B C, Legant W R, Wang K, et al. Lattice light-sheet microscopy: imaging molecules to embryos at high spatiotemporal resolution[J]. Science, 2014, 346(6208): 1257998.

[39]

Di Domenico G, Ruocco G, Colosi C, et al. Cancellation of Bessel beam side lobes for high-contrast light sheet microscopy[J]. Scientific Reports, 2018, 8: 17178.

[40]

Han Q, Shi J, Shi F. Sidelobe suppression in structured light sheet fluorescence microscopy by the superposition of two light sheets[J]. Biomedical Optics Express, 2023, 14(3): 1178-1191.

[41]

Guo X, Zhao F, Zhu J, et al. Rapid 3D isotropic imaging of whole organ with double-ring light-sheet microscopy and self-learning side-lobe elimination[J]. Biomedical Optics Express, 2023, 14(12): 6206-6221.

[42]

Dean K M, Roudot P, Welf E S, et al. Deconvolution-free subcellular imaging with axially swept light sheet microscopy[J]. Biophysical Journal, 2015, 108(12): 2807-2815.

[43]

Voigt F F, Kirschenbaum D, Platonova E, et al. The mesoSPIM initiative: open-source light-sheet microscopes for imaging cleared tissue[J]. Nature Methods, 2019, 16(11): 1105-1108.

[44]

Chakraborty T, Chen B, Daetwyler S, et al. Converting lateral scanning into axial focusing to speed up three-dimensional microscopy[J]. Light: Science & Applications, 2020, 9: 165.

[45]

Prince M N H, Garcia B, Henn C, et al. Signal improved ultrafast light-sheet microscope for large tissue imaging[J]. Communications Engineering, 2024, 3: 59.

[46]

Gao L. Extend the field of view of selective plan illumination microscopy by tiling the excitation light sheet[J]. Optics Express, 2015, 23(5): 6102-6111.

[47]

Fu Q, Martin B L, Matus D Q, et al. Imaging multicellular specimens with real-time optimized tiling light-sheet selective plane illumination microscopy[J]. Nature Communications, 2016, 7: 11088.

[48]

Wang D, Jin Y, Feng R, et al. Tiling light sheet selective plane illumination microscopy using discontinuous light sheets[J]. Optics Express, 2019, 27(23): 34472-34483.

[49]

Jia H, Yu X, Yang Y, et al. Axial resolution enhancement of light-sheet microscopy by double scanning of Bessel beam and its complementary beam[J]. Journal of Biophotonics, 2019, 12(1): e201800094.

[50]

Liu C, Bai C, Yu X, et al. Extended field of view of light-sheet fluorescence microscopy by scanning multiple focus-shifted Gaussian beam arrays[J]. Optics Express, 2021, 29(4): 6158-6168.

[51]

Li H, Wu Z, Yang Z, et al. Axially overlapped multi-focus light sheet with enlarged field of view[J]. Applied Physics Letters, 2021, 118(22): 223701.

[52]

Dunsby C. Optically sectioned imaging by oblique plane microscopy[J]. Optics Express, 2008, 16(25): 20306-20316.

[53]

Bouchard M B, Voleti V, Mendes C S, et al. Swept confocally-aligned planar excitation (SCAPE) microscopy for high-speed volumetric imaging of behaving organisms[J]. Nature Photonics, 2015, 9: 113-119.

[54]

Yang B, Chen X, Wang Y, et al. Epi-illumination SPIM for volumetric imaging with high spatial-temporal resolution[J]. Nature Methods, 2019, 16: 501-504.

[55]

Yang B, Lange M, Millett-Sikking A, et al. DaXi—high-resolution, large imaging volume and multi-view single-objective light-sheet microscopy[J]. Nature Methods, 2022, 19: 461-469.

[56]

McGorty R, Liu H, Kamiyama D, et al. Open-top selective plane illumination microscope for conventionally mounted specimens[J]. Optics Express, 2015, 23(12): 16142-16153.

[57]

Glaser A K, Reder N P, Chen Y, et al. Light-sheet microscopy for slide-free non-destructive pathology of large clinical specimens[J]. Nature Biomedical Engineering, 2017, 1: 0084.

[58]

Barner L A, Glaser A K, True L D, et al. Solid immersion meniscus lens (SIMlens) for open-top light-sheet microscopy[J]. Optics Letters, 2019, 44(18): 4451-4454.

[59]

Barner L A, Glaser A K, Huang H, et al. Multi-resolution open-top light-sheet microscopy to enable efficient 3D pathology workflows[J]. Biomedical Optics Express, 2020, 11(11): 6605-6619.

[60]

Huang J, Fan J, He Y, et al. Physical compensation method for dispersion of multiple materials in swept source optical coherence tomography[J]. Journal of Biophotonics, 2023, 16(10): e202300167.

[61]

Barner L A, Glaser A K, Mao C, et al. Multiresolution nondestructive 3D pathology of whole lymph nodes for breast cancer staging[J]. Journal of Biomedical Optics, 2022, 27(3): 036501.

[62]

Reddi D M, Barner L A, Burke W, et al. Nondestructive 3D pathology image atlas of Barrett esophagus with opentop light-sheet microscopy[J]. Archives of Pathology & Laboratory Medicine, 2023, 147(10): 1164-1171.

[63]

Tanaka N, Kaczynska D, Kanatani S, et al. Mapping of the three-dimensional lymphatic microvasculature in bladder tumours using light-sheet microscopy[J]. British Journal of Cancer, 2018, 118: 995-999.

[64]

Chen L, Meng J, Zhou Y, et al. Efficient 3D imaging and pathological analysis of the human lymphoma tumor microenvironment using light-sheet immunofluorescence microscopy[J]. Theranostics, 2024, 14(1): 406-419.

[65]

Otomo K, Omura T, Nozawa Y, et al. descSPIM: an affordable and easy-to-build light-sheet microscope optimized for tissue clearing techniques[J]. Nature Communications, 2024, 15: 4941.

[66]

Costantini I, Ghobril J P, Di Giovanna A P, et al. A versatile clearing agent for multi-modal brain imaging[J]. Scientific Reports, 2015, 5: 9808.

[67]

Harrison C H, Buckland G R, Brooks S E, et al. A novel method to visualise the three-dimensional organisation of the human cerebral cortical vasculature[J]. Journal of Anatomy, 2018, 232(6): 1025-1030.

[68]

Schueth A, Hildebrand S, Samarska I, et al. Efficient 3D light-sheet imaging of very large-scale optically cleared human brain and prostate tissue samples[J]. Communications Biology, 2023, 6: 170.

[69]

Glaser A K, Bishop K W, Barner L A, et al. A hybrid opentop light-sheet microscope for versatile multi-scale imaging of cleared tissues[J]. Nature Methods, 2022, 19: 613-619.

[70]

Abadie S, Jardet C, Colombelli J, et al. 3D imaging of cleared human skin biopsies using light-sheet microscopy: a new way to visualize in - depth skin structure[J]. Skin Research and Technology, 2018, 24(2): 294-303.

[71]

Chen Y, He Y, Ye H, et al. Unified deep learning model for predicting fundus fluorescein angiography image from fundus structure image[J]. Journal of Innovative Optical Health Sciences, 2024, 17(3): 2450003.

[72]

Li W, Fang W, Wang J, et al. A weakly supervised deep learning approach for leakage detection in fluorescein angiography images[J]. Translational Vision Science & Technology, 2022, 11(3): 9.

[73]

Wang J, He Y, Fang W, et al. Unsupervised domain adaptation model for lesion detection in retinal OCT images[J]. Physics in Medicine & Biology, 2021, 66(21): 215006.

[74]

Darche M, Borella Y, Verschueren A, et al. Light sheet fluorescence microscopy of cleared human eyes[J]. Communications Biology, 2023, 6: 1025.

[75]

Patel K B, Liang W, Casper M J, et al. High-speed light-sheet microscopy for the in-situ acquisition of volumetric histological images of living tissue[J]. Nature Biomedical Engineering, 2022, 6: 569-583.

[76]

Song A H, Williams M, Williamson D F K, et al. Analysis of 3D pathology samples using weakly supervised AI[J]. Cell, 2024, 187(10): 2502-2520.

[77]

Serafin R, Koyuncu C, Xie W, et al. Nondestructive 3D pathology with analysis of nuclear features for prostate cancer risk assessment[J]. The Journal of Pathology, 2023, 260(4): 390-401.

[78]

Serafin R B, Wang R, Chow S, et al. Automatic detection of prostate cancer via 3D microscopy and deep learning[C]//Optica Biophotonics Congress: Biomedical Optics 2024 (Translational, Microscopy, OCT, OTS, BRAIN), April 7-10, 2024, Fort Lauderdale, Florida, United States. Washington: Optica Publishing Group, 2024: MM3A. 2.

[79]

Chow S S L, Serafin R B, Wang R, et al. Prostate cancer risk stratification via 3D pathology with deep learning-assisted nerve and vessel analysis[C]//Optica Biophotonics Congress: Biomedical Optics 2024 (Translational, Microscopy, OCT, OTS, BRAIN), April 7-10, 2024, Fort Lauderdale, Florida, United States. Washington: Optica Publishing Group, 2024: JM4A. 11.

[80]

Keller P J, Ahrens M B, Freeman J. Light-sheet imaging for systems neuroscience[J]. Nature Methods, 2015, 12: 27-29.

[81]

Keller P J, Ahrens M B. Visualizing whole-brain activity and development at the single-cell level using light-sheet microscopy[J]. Neuron, 2015, 85(3): 462-483.

[82]

de Vito G, Fornetto C, Ricci P, et al. Two-photon high-speed light-sheet volumetric imaging of brain activity during sleep in zebrafish larvae[C]//Proceedings Volume 11226, Neural Imaging and Sensing 2020. San Francisco: SPIE, 2020: 1122604.

[83]

Zhang Q, Kindt K S. Using light-sheet microscopy to study spontaneous activity in the developing lateral-line system[J]. Frontiers in Cell and Developmental Biology, 2022, 10: 819612.

[84]

Burgstaller J, Hindinger E, Donovan J, et al. Light-sheet imaging and graph analysis of antidepressant action in the larval zebrafish brain network[EB/OL]. (2019-07-03) [2025-06-08]. https://www.biorxiv.org/content/10.1101/618843v2.

[85]

de Vito G, Turrini L, Müllenbroich C, et al. Fast whole-brain imaging of seizures in zebrafish larvae by two-photon light-sheet microscopy[J]. Biomedical Optics Express, 2022, 13(3): 1516-1536.

[86]

Wan Y, Wei Z, Looger L L, et al. Single-cell reconstruction of emerging population activity in an entire developing circuit[J]. Cell, 2019, 179(2): 355-372.

[87]

Petrucco L, Lavian H, Wu Y K, et al. Neural dynamics and architecture of the heading direction circuit in zebrafish[J]. Nature Neuroscience, 2023, 26: 765-773.

[88]

Attardi A, Fulton T, Florescu M, et al. Neuromesodermal progenitors are a conserved source of spinal cord with divergent growth dynamics[J]. Development, 2018, 145(21): dev166728.

[89]

Daetwyler S, Günther U, Modes C D, et al. Multi-sample SPIM image acquisition, processing and analysis of vascular growth in zebrafish[J]. Development, 2019, 146(6): dev173757.

[90]

Strnad P, Gunther S, Reichmann J, et al. Inverted light-sheet microscope for imaging mouse pre-implantation development[J]. Nature Methods, 2016, 13: 139-142.

[91]

Ichikawa T, Nakazato K, Keller P J, et al. Live imaging of whole mouse embryos during gastrulation: migration analyses of epiblast and mesodermal cells[J]. PLoS One, 2013, 8(7): e64506.

[92]

McDole K, Guignard L, Amat F, et al. In toto imaging and reconstruction of post-implantation mouse development at the single-cell level[J]. Cell, 2018, 175(3): 859-876.

[93]

Wu C, Le H, Ran S, et al. Comparison and combination of rotational imaging optical coherence tomography and selective plane illumination microscopy for embryonic study[J]. Biomedical Optics Express, 2017, 8(10): 4629-4639.

[94]

Rozbicki E, Chuai M, Karjalainen A I, et al. Myosin-II-mediated cell shape changes and cell intercalation contribute to primitive streak formation[J]. Nature Cell Biology, 2015, 17(4): 397-408.

[95]

Gómez-Gaviro M V, Balaban E, Bocancea D, et al. Optimized CUBIC protocol for three-dimensional imaging of chicken embryos at single-cell resolution[J]. Development, 2017, 144(11): 2092-2097.

[96]

Duncan L H, Moyle M W, Shao L, et al. Isotropic light-sheet microscopy and automated cell lineage analyses to catalogue Caenorhabditis elegans embryogenesis with subcellular resolution[J]. J. Vis. Exp., 2019(148): e59533.

[97]

Fu Q, Martin B L, Matus D Q, et al. Imaging multicellular specimens with real-time optimized tiling light-sheet selective plane illumination microscopy[J]. Nature Communications, 2016, 7: 11088.

[98]

Truong T V, Supatto W, Koos D S, et al. Deep and fast live imaging with two-photon scanned light-sheet microscopy[J]. Nature Methods, 2011, 8: 757-760.

[99]

Preibisch S, Amat F, Stamataki E, et al. Efficient Bayesian-based multiview deconvolution[J]. Nature Methods, 2014, 11: 645-648.

[100]

Streichan S J, Lefebvre M F, Noll N, et al. Global morphogenetic flow is accurately predicted by the spatial distribution of myosin motors[J]. eLife, 2018, 7: e27454.

[101]

Strobl F, Stelzer E H K. Non-invasive long-term fluorescence live imaging of Tribolium castaneum embryos[J]. Development, 2014, 141(11): 2331-2338.

[102]

Münster S, Jain A, Mietke A, et al. Attachment of the blastoderm to the vitelline envelope affects gastrulation of insects[J]. Nature, 2019, 568: 395-399.

[103]

Hilbrant M, Horn T, Koelzer S, et al. The beetle amnion and serosa functionally interact as apposed epithelia[J]. eLife, 2016, 5: e13834.

2025年第31卷第4期

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doi: 10.11876/mimt202504001

首发时间：2026-10-23
出版时间：2025-08-10

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出版历史

基金

江苏省自然科学基金杰出青年基金项目(BK20240024)

中国科学院青年创新促进会优秀会员(Y2023087)

国家自然科学基金面上项目(62075235)

国家重点研发计划项目(2021YFF0700700)

中国科学院战略性先导科技专项(XDB1020000)

作者信息

^1.中国科学技术大学生物医学工程学院（苏州），生命科学与医学部，合肥　230026

^2.中国科学院苏州生物医学工程技术研究所，江苏省医用光学重点实验室，苏州　215163

通讯作者:

张欣，女，博士研究生，副研究员，研究方向：光学显微成像

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2种不同金属材料的力学参数

科 Family	属数 Number of genus	种数 Number of species	占总种数比例 Percentage of total species (%)	属 Genus	种数 Number of species	占总种数比例 Percentage of total species (%)
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
多孔菌科 Polyporaceae	8	14	6.70	蜡蘑属 Laccaria	5	2.39
红菇科 Russulaceae	3	23	11.00	小皮伞属 Marasmius	6	2.87
				小菇属 Mycena	11	5.26
				光柄菇属 Pluteus	5	2.39
				红菇属 Russula	17	8.13
				栓菌属 Trametes	5	2.39

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