Atomic force microscopy detects the difference in cancer cells of different neoplastic aggressiveness via machine learning

S Prasad, A Rankine, T Prasad, P Song… - Advanced …, 2021 - Wiley Online Library
A novel method based on atomic force microscopy (AFM) working in Ringing mode (RM) to
distinguish between two similar human colon epithelial cancer cell lines that exhibit different …

Identification of geometrical features of cell surface responsible for cancer aggressiveness: Machine learning analysis of atomic force microscopy images of human …

M Petrov, I Sokolov - Biomedicines, 2023 - mdpi.com
It has been recently demonstrated that atomic force microscopy (AFM) allows for the rather
precise identification of malignancy in bladder and cervical cells. Furthermore, an example …

Acceleration of imaging in atomic force microscopy working in sub-resonance tapping mode

P Echols-Jones, W Messner, I Sokolov - Review of Scientific …, 2022 - pubs.aip.org
Sub-resonance tapping (SRT) mode of atomic force microscopy (AFM) enables researchers
to image surfaces with well-controlled load forces and to collect maps of multiple physical …