Image-based evaluation of single-cell mechanics using deep learning

Image-based evaluation of single-cell mechanics using deep learning

Abstract Mechanical properties of cells have been proposed as potential biophysical markers for cell phenotypes and functions since they are vital for maintaining biological activities. However, current approaches used to measure single-cell mechanics suffer from low throughput, high technical compl...

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Bibliographic Details
Main Authors: Zhaozhao Wu, Yiting Feng, Ran Bi, Zhiqiang Liu, Yudi Niu, Yuhong Jin, Wenjing Li, Huijun Chen, Yan Shi, Yanan Du
Format: Article
Language:English
Published: SpringerOpen 2025-06-01
Series:Cell Regeneration
Subjects:
Deep learning
Convolutional neural network
Biomechanics
Cell stiffness evaluation
Online Access:https://doi.org/10.1186/s13619-025-00239-9
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