Title: AFM-based imaging conditions optimisation of cell topography

Authors: Ya Li; Alamusi; Shen Dong; Jinghe Wang; Haidong Liu

Addresses: Key Laboratory of Testing Technology for Manufacturing Process (Ministry of Education), Southwest University of Science and Technology, Mianyang 621010, China ' Key Laboratory of Testing Technology for Manufacturing Process (Ministry of Education), Southwest University of Science and Technology, Mianyang 621010, China ' School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China ' School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China ' Key Laboratory of Testing Technology for Manufacturing Process (Ministry of Education), Southwest University of Science and Technology, Mianyang 621010, China

Abstract: Surface topography of cancer cell is particularly vital since cell frequently changes its shape as interacting with neighbouring cells and extracellular matrix. Atomic force microscope (AFM) has an extraordinary superiority in surface scanning of cells but the scanning consequence depends upon experiment conditions or experience primarily. In our study, a quadratic regression orthogonal rotation combination design was operated to acquire optimal parameters for cell profiling via AFM. By iterative calculation, the optimum AFM scanning of cell can be accomplished at setpoint of 0.61 V, scanning rate of 2.23 Hz and proportional gain of 3.85. Satisfactory surface morphology images of human bronchial epithelium BEAS-2B and pulmonary adenocarcinoma cell A549 were acquired at this calculated scanning condition, in which the details of surface coarse particle and cell junction structure are visible. This emerging insight into cell profiling may encourage the understanding of the underlying mechanism for cellular inner reconstruction during cell migration.

Keywords: atomic force microscopy; quadratic regression orthogonal rotation design; scanning parameter; cell imaging.

DOI: 10.1504/IJNM.2017.087535

International Journal of Nanomanufacturing, 2017 Vol.13 No.4, pp.341 - 350

Received: 14 Aug 2015
Accepted: 20 Jun 2016
Published online: 18 Oct 2017 *

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