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Noninvasive Subcellular Imaging Using Atomic Force Acoustic Microscopy (AFAM)

1,†, 2,†, 1, 2, 1,* and 1,*
1
Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
2
Department of Biophysics, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Cells 2019, 8(4), 314; https://doi.org/10.3390/cells8040314
Received: 5 March 2019 / Revised: 25 March 2019 / Accepted: 27 March 2019 / Published: 5 April 2019
(This article belongs to the Special Issue Development and Challenges in Microscopy for Cellular Imaging)
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Abstract

We report an imaging approach applying the atomic force acoustic microscopy (AFAM), which has unique potential for nondestructive imaging of cell internal structures. To obtain high spatial resolution images, we optimized the significant imaging parameters, including scanning speeds, feedback configurations and acoustic frequencies of an AFAM system, to increase the amplitude of the acoustic signal and to stabilize the morphological signals. We also combined the acoustic amplitude and phase signals, and generated pseudo-color figures for better illustration of subcellular features such as pseudopodia, membranes and nucleus-like. The subcellular structural image atlas can describe nanoscale details of multiple samples and provide clearer images of the subcellular features compared to other conventional techniques. This study builds a strong basis of transmission AFAM for cell imaging, which can help researchers to clarify the cell structures in diverse biological fields and push the understanding of biology evolution to a new stage. View Full-Text
Keywords: atomic force acoustic microscopy; image fusion algorithm; parameters optimization; subcellular structural image atlas atomic force acoustic microscopy; image fusion algorithm; parameters optimization; subcellular structural image atlas
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Li, X.; Lu, A.; Deng, W.; Su, L.; Wang, J.; Ding, M. Noninvasive Subcellular Imaging Using Atomic Force Acoustic Microscopy (AFAM). Cells 2019, 8, 314.

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