TPP-Fabricated All-Fiber Nanoforce Sensor with Deep Learning Analysis Enables Ultrasensitive Cancer Cell Mechanophenotyping
= 0.9999; mean absolute error <0.2%). The sensor achieves a force resolution of 0.41 nN and maintains stable analytical performance over 100 repeated loading cycles, representing a rigorous repeatability assessment for this class of fiber-tip force sensors. The analytical capability of the AFNS is validated by quantifying the Young's modulus of polydimethylsiloxane and by mechanically phenotyping A549 and HepG2 cells at different invasion stages, showing strong agreement with atomic force microscopy. With low cost, replaceable probes, and a compact all-fiber configuration, this work provides a scalable analytical methodology for high-precision micro/nano-force characterization and quantitative cellular mechanics assays.
Authors
- Shibang Li (ORCID: https://orcid.org/0000-0001-9175-0007)
- Fengzhou Fang (ORCID: https://orcid.org/0000-0002-8716-5988)
- Le Song (ORCID: https://orcid.org/0000-0001-9425-9395)
- Jianchen Xie
- Jingjing Li
Institutions
- Micron (United States) (US)
- Tianjin University (CN)
Publication Details
- Journal
- Analytical Chemistry
- Published
- 2026-04-17
- DOI
- https://doi.org/10.1021/acs.analchem.6c00152
- Primary Topic
- Advanced Fiber Optic Sensors
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China