Automated High-Throughput Atomic Force Microscopy Single-Cell Nanomechanical Assay Enabled by Deep Learning-Based Optical Image Recognition

Mechanical forces are essential for life activities, and the mechanical phenotypes of single cells are increasingly gaining attention. Atomic force microscopy (AFM) has been a standard method for single-cell nanomechanical assays, but its efficiency is limited due to its reliance on manual operation...

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Bibliographic Details
Main Author:	Rui Xiao (260235) (author)
Other Authors:	Yanzhu Zhang (15649793) (author), Mi Li (237587) (author)
Published:	2024
Subjects:	Biophysics Medicine Microbiology Biotechnology Space Science Chemical Sciences not elsewhere classified Physical Sciences not elsewhere classified sequentially moved onto increasingly gaining attention atomic force microscopy consequent automated movement cell nanomechanical measurements cell nanomechanical assays cell indentation assay cell force spectroscopy promising method based individual living cells enables automated high throughput afm single automated high cell structures cell nanomechanics throughput single standard method single cells independent high specific parts sample stage optical bright mechanical phenotypes manual operation limited due life activities free identification field images efficient manner deep learning assisted afm afm probe achieving operator
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Automated High-Throughput Atomic Force Microscopy Single-Cell Nanomechanical Assay Enabled by Deep Learning-Based Optical Image Recognition

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