Suchergebnisse - "AFM data processing"

Advancing High-Throughput Cellular Atomic Force Microscopy with Automation and Artificial Intelligence

Autoren: Thomas- -Chemin, Ophélie Janel, Sébastien Boumehdi, Zeyd et al.

Weitere Verfasser: Thomas- -Chemin, Ophélie Janel, Sébastien Boumehdi, Zeyd et al.

Quelle: ACS Nano. 19:5045-5062

Schlagwörter: AFM data processing, [SDV.IB] Life Sciences [q-bio]/Bioengineering, MESH: Microscopy, MESH: Humans, High-throughput AFM, Atomic Force, Mechanical properties, Cellular analysis, Microscopy, Atomic Force, Artificial intelligence (AI), Bio-AFM, Automation, MESH: Automation, Artificial Intelligence, Atomic force microscopy (AFM), Machine learning, MESH: Artificial Intelligence, Humans, [SDV.IB]Life Sciences [q-bio]/Bioengineering

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39883411
https://ut3-toulouseinp.hal.science/hal-04956507v1
https://doi.org/10.1021/acsnano.4c07729

The Young’s Modulus as a Mechanical Biomarker in AFM Experiments: A Tool for Cancer Diagnosis and Treatment Monitoring

Autoren: Stylianos Vasileios Kontomaris Anna Malamou Andreas Stylianou

Quelle: Sensors, Vol 25, Iss 11, p 3510 (2025)

Schlagwörter: mechanical distributions, cancer diagnosis, combined therapies, contact mechanics, AFM data processing, Chemical technology, TP1-1185

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/11/3510; https://doaj.org/toc/1424-8220

Zugangs-URL: https://doaj.org/article/170741868f0a4d75831050afe3f55306