Determining Spatial Variability of Elastic Properties for Biological Samples Using AFM
Measuring the mechanical properties (i.e., elasticity in terms of Young’s modulus) of biological samples using Atomic Force Microscopy (AFM) indentation at the nanoscale has opened new horizons in studying and detecting various pathological conditions at early stages, including cancer and osteoarthr...
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MDPI AG
2023-01-01
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Online Access: | https://www.mdpi.com/2072-666X/14/1/182 |
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author | Stylianos Vasileios Kontomaris Andreas Stylianou Georgios Chliveros Anna Malamou |
author_facet | Stylianos Vasileios Kontomaris Andreas Stylianou Georgios Chliveros Anna Malamou |
author_sort | Stylianos Vasileios Kontomaris |
collection | DOAJ |
description | Measuring the mechanical properties (i.e., elasticity in terms of Young’s modulus) of biological samples using Atomic Force Microscopy (AFM) indentation at the nanoscale has opened new horizons in studying and detecting various pathological conditions at early stages, including cancer and osteoarthritis. It is expected that AFM techniques will play a key role in the future in disease diagnosis and modeling using rigorous mathematical criteria (i.e., automated user-independent diagnosis). In this review, AFM techniques and mathematical models for determining the spatial variability of elastic properties of biological materials at the nanoscale are presented and discussed. Significant issues concerning the rationality of the elastic half-space assumption, the possibility of monitoring the depth-dependent mechanical properties, and the construction of 3D Young’s modulus maps are also presented. |
first_indexed | 2024-03-09T11:40:44Z |
format | Article |
id | doaj.art-e9447349e57f408495f59a404690b5d5 |
institution | Directory Open Access Journal |
issn | 2072-666X |
language | English |
last_indexed | 2024-03-09T11:40:44Z |
publishDate | 2023-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Micromachines |
spelling | doaj.art-e9447349e57f408495f59a404690b5d52023-11-30T23:34:20ZengMDPI AGMicromachines2072-666X2023-01-0114118210.3390/mi14010182Determining Spatial Variability of Elastic Properties for Biological Samples Using AFMStylianos Vasileios Kontomaris0Andreas Stylianou1Georgios Chliveros2Anna Malamou3BioNanoTec Ltd., Nicosia 2043, CyprusSchool of Sciences, European University Cyprus, Nicosia 2404, CyprusFaculty of Engineering and Architecture, Metropolitan College, 15125 Athens, GreeceSchool of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, GreeceMeasuring the mechanical properties (i.e., elasticity in terms of Young’s modulus) of biological samples using Atomic Force Microscopy (AFM) indentation at the nanoscale has opened new horizons in studying and detecting various pathological conditions at early stages, including cancer and osteoarthritis. It is expected that AFM techniques will play a key role in the future in disease diagnosis and modeling using rigorous mathematical criteria (i.e., automated user-independent diagnosis). In this review, AFM techniques and mathematical models for determining the spatial variability of elastic properties of biological materials at the nanoscale are presented and discussed. Significant issues concerning the rationality of the elastic half-space assumption, the possibility of monitoring the depth-dependent mechanical properties, and the construction of 3D Young’s modulus maps are also presented.https://www.mdpi.com/2072-666X/14/1/182Young’s modulus mapsnanoscalebiomaterialscellsdisease diagnosisadvanced microscopy |
spellingShingle | Stylianos Vasileios Kontomaris Andreas Stylianou Georgios Chliveros Anna Malamou Determining Spatial Variability of Elastic Properties for Biological Samples Using AFM Micromachines Young’s modulus maps nanoscale biomaterials cells disease diagnosis advanced microscopy |
title | Determining Spatial Variability of Elastic Properties for Biological Samples Using AFM |
title_full | Determining Spatial Variability of Elastic Properties for Biological Samples Using AFM |
title_fullStr | Determining Spatial Variability of Elastic Properties for Biological Samples Using AFM |
title_full_unstemmed | Determining Spatial Variability of Elastic Properties for Biological Samples Using AFM |
title_short | Determining Spatial Variability of Elastic Properties for Biological Samples Using AFM |
title_sort | determining spatial variability of elastic properties for biological samples using afm |
topic | Young’s modulus maps nanoscale biomaterials cells disease diagnosis advanced microscopy |
url | https://www.mdpi.com/2072-666X/14/1/182 |
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