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The influence of different liquid environments on the atomic force microscopy detection of living bEnd.3 cells

  • Jin Yan
    ,
  • Baishun Sun
    ,
  • Chenchen Xie
    ,
  • Yan Liu
    ,
  • Zhengxun Song
    ,
  • Hongmei Xu
  • Changchun University of Science and Technology
Research Output: Contribution to journal Article Peer-review

Open access

Abstract

Atomic force microscopy (AFM) is one of the most important tools in the field of biomedical science, and it can be used to perform the high-resolution three-dimensional imaging of samples in liquid environments to obtain their physical properties (such as surface potentials and mechanical properties). The influence of the liquid environment on the image quality of the sample and the detection results cannot be ignored. In this work, quantitative imaging (QI) mode AFM imaging and mechanical detection were performed on mouse brain microvascular endothelial (bEnd.3) cells in different liquid environments. The gray-level variance product (SMD2) function was used to evaluate the imaging quality of the cells in liquids with different physical properties, and the variations in cell mechanical properties were quantitatively analyzed. An AFM detection liquid containing less ions and organics compared with the traditional culture medium, which is beneficial for improving the imaging quality, is introduced, and it shows similar mechanical detection results within 3 h. This can greatly reduce the detection costs and could have positive significance in the field of AFM living-cell detection.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 2384-2390 (7 pages)

Journal (Volume, Issue Number)

Analytical Methods (Volume 13, Issue 21)

Publication milestones

  • Accepted/In press - 26/04/2021
  • Published - 27/04/2021

Publication status

Published - 27/04/2021

ISSN

1759-9660

External Publication IDs

  • handle.net: 10547/624975
  • Scopus: 85107476890

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