Portable microrobotic platform for non-prehensile mechanophenotyping of biopsy-derived human cancer tissues.
OpenAlex 토픽 ·
Micro and Nano Robotics
Piezoelectric Actuators and Control
Soft Robotics and Applications
Mechanical characterization of cancer tissues is crucial for understanding tumor progression and response to therapy.
APA
Yuvaraj Kamble, Shreekant Bharti, et al. (2026). Portable microrobotic platform for non-prehensile mechanophenotyping of biopsy-derived human cancer tissues.. Journal of biomechanics, 201, 113250. https://doi.org/10.1016/j.jbiomech.2026.113250
MLA
Yuvaraj Kamble, et al.. "Portable microrobotic platform for non-prehensile mechanophenotyping of biopsy-derived human cancer tissues.." Journal of biomechanics, vol. 201, 2026, pp. 113250.
PMID
41894856
Abstract
Mechanical characterization of cancer tissues is crucial for understanding tumor progression and response to therapy. However, common mechanophenotyping methods such as atomic force microscopy (AFM), compression testing, and elastography require expensive setups, involve complex sample handling, and are often performed in non-physiological conditions that alter tissue properties. Many are tethered, non-portable, operator-dependent, and may damage or consume samples, preventing repeatable measurements on the same specimen. To address these limitations, we present a portable, non-prehensile microrobotic indentation platform for localized stiffness measurement of biological tissues. The microrobots are actuated by magnetic fields generated from electromagnetic coils, enabling precise control during indentation. Tissue samples are immobilized using gentle, active flow-based stabilization, which secures the sample without causing mechanical damage. We applied the system to Adenoid Cystic Carcinoma (AdCC), Invasive Breast Cancer (IBC), and Squamous Cell Carcinoma (SCC) biopsies. Using the Hertzian contact model, the measured Young's moduli were 194, 323, and 71 kPa, respectively, which agree with reported values. The platform showed high repeatability and lower variability than operator-dependent methods. This work provides a physiologically relevant, sample-preserving, and accessible approach for cancer tissue mechanophenotyping, with potential applications in mechanobiology studies, therapy monitoring, and drug-response evaluation.
MeSH Terms
Humans; Robotics; Female; Breast Neoplasms; Biopsy; Elastic Modulus; Biomechanical Phenomena; Carcinoma, Squamous Cell; Neoplasms