Recent advances in AFM-based biological characterization and applications at multiple levels | |
Liang WF(梁文峰)1; Shi, Haohao1; Yang XL(杨谢柳)1; Wang, Junhai1; Yang WG(杨文广)2; Zhang, Hemin3; Liu LQ(刘连庆)4![]() | |
Department | 机器人学研究室 |
Source Publication | SOFT MATTER
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ISSN | 1744-683X |
2020 | |
Volume | 16Issue:39Pages:8962-8984 |
Indexed By | SCI ; EI |
EI Accession number | 20204309397799 |
WOS ID | WOS:000577734200001 |
Contribution Rank | 4 |
Funding Organization | National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61973224, 61925307, 51805336, U1613220, U1908215, 61803323] ; Natural Science Foundation of Liaoning ProvinceNatural Science Foundation of Liaoning Province [2019KF-01-15, 2019-ZD-0673] |
Keyword | ATOMIC-FORCE MICROSCOPY MECHANICAL-PROPERTIES CANCER-CELLS TISSUE STIFFNESS MICROMECHANICAL PROPERTIES VISCOELASTIC PROPERTIES SINGLE-MOLECULE ADHESION VISUALIZATION MEMBRANE |
Abstract | Atomic force microscopy (AFM) has found a wide range of bio-applications in the past few decades due to its ability to measure biological samples in natural environments at a high spatial resolution. AFM has become a key platform in biomedical, bioengineering and drug research fields, enabling mechanical and morphological characterization of live biological systems. Hence, we provide a comprehensive review on recent advances in the use of AFM for characterizing the biomechanical properties of multi-scale biological samples, ranging from molecule, cell to tissue levels. First, we present the fundamental principles of AFM and two AFM-based models for the characterization of biomechanical properties of biological samples, covering key AFM devices and AFM bioimaging as well as theoretical models for characterizing the elasticity and viscosity of biomaterials. Then, we elaborate on a series of new experimental findings through analysis of biomechanics. Finally, we discuss the future directions and challenges. It is envisioned that the AFM technique will enable many remarkable discoveries, and will have far-reaching impacts on bio-related studies and applications in the future. |
Language | 英语 |
WOS Subject | Chemistry, Physical ; Materials Science, Multidisciplinary ; Physics, Multidisciplinary ; Polymer Science |
WOS Keyword | ATOMIC-FORCE MICROSCOPY ; MECHANICAL-PROPERTIES ; CANCER-CELLS ; TISSUE STIFFNESS ; MICROMECHANICAL PROPERTIES ; VISCOELASTIC PROPERTIES ; SINGLE-MOLECULE ; ADHESION ; VISUALIZATION ; MEMBRANE |
WOS Research Area | Chemistry ; Materials Science ; Physics ; Polymer Science |
Funding Project | National Natural Science Foundation of China[61973224] ; National Natural Science Foundation of China[61925307] ; National Natural Science Foundation of China[51805336] ; National Natural Science Foundation of China[U1613220] ; National Natural Science Foundation of China[U1908215] ; National Natural Science Foundation of China[61803323] ; Natural Science Foundation of Liaoning Province[2019KF-01-15] ; Natural Science Foundation of Liaoning Province[2019-ZD-0673] |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.sia.cn/handle/173321/27762 |
Collection | 机器人学研究室 |
Corresponding Author | Liang WF(梁文峰); Liu LQ(刘连庆) |
Affiliation | 1.School of Mechanical Engineering, Shenyang Jianzhu University, Shenyang, 110168, China 2.School of Electromechanical and Automotive Engineering, Yantai University, Yantai 264005, China 3.Department of Neurology, The People’s Hospital of Liaoning Province, Shenyang 110016, China 4.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China. |
Recommended Citation GB/T 7714 | Liang WF,Shi, Haohao,Yang XL,et al. Recent advances in AFM-based biological characterization and applications at multiple levels[J]. SOFT MATTER,2020,16(39):8962-8984. |
APA | Liang WF.,Shi, Haohao.,Yang XL.,Wang, Junhai.,Yang WG.,...&Liu LQ.(2020).Recent advances in AFM-based biological characterization and applications at multiple levels.SOFT MATTER,16(39),8962-8984. |
MLA | Liang WF,et al."Recent advances in AFM-based biological characterization and applications at multiple levels".SOFT MATTER 16.39(2020):8962-8984. |
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