UMEX Viewer - Software Suite for High-Speed AFM Data Analysis and Its Applications

Authors: Umeda, Kenichi, Watanabe-Nakayama, Takahiro, Murayama, Yasuto, Konno, Hiroki, Shibata, Mikihiro, Kodera, Noriyuki

Subject Terms: Applied Physics

Access URL: https://arxiv.org/abs/2608.22343

CrystalTracer: Automated Image Analysis of In Situ AFM Data Uncovers the Kinetics of Crystal Growth

Authors: Oluoch, Luke^aff1, Tao, Jinhui^aff2, Clancy, Paulette^aff1

Source: Crystal Growth & Design. 26(16):6556-6573

Availability: https://pubs.acs.org/doi/10.1021/acs.cgd.6c00581

Correction of AFM data artifacts using a convolutional neural network trained with synthetically generated data

Authors: Kocur, Viktor ^{a, c, ⁎}, Hegrová, Veronika ^b, Patočka, Marek ^{b, d}, Neuman, Jan ^b, Herout, Adam ^a

Source: In Ultramicroscopy April 2023 246

The effects of Hertz's model parameters on analysis of atomic force microscopy (AFM) data for cardiac cell

Authors: Soufivand, Anahita Ahmadi, Navidbakhsh, Mehdi

Source: 2012 19th Iranian Conference of Biomedical Engineering (ICBME) Biomedical Engineering (ICBME), 2012 19th Iranian Conference of. :163-166 Dec, 2012

Relation: 2012 19th Iranian Conference of Biomedical Engineering (ICBME)

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

Authors: Kontomaris, Stylianos - Vasileios, Malamou, Anna, Stylianou, Andreas

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

Subject Terms: AFM data processing, Chemical technology, TP1-1185, Review, Microscopy, Atomic Force, cancer diagnosis, contact mechanics, Neoplasms, Elastic Modulus, Biomarkers, Tumor, Humans, mechanical distributions, combined therapies, Biomarkers

Access URL: https://pubmed.ncbi.nlm.nih.gov/40969054
https://doaj.org/article/170741868f0a4d75831050afe3f55306

Improvement of Signal Processing Procedure of the Analysis of Atomic Force Microscopy (AFM) Data of Mineral Cleavage Planes

Authors: OKUNO, Tadashi, KAKITANI, Satoru

Source: Journal of the Mineralogical Society of Japan. 28:167-172

Subject Terms: 0103 physical sciences, 01 natural sciences

Access URL: https://www.jstage.jst.go.jp/article/gkk1952/28/4/28_4_167/_pdf

A knowledge-guided, drift-aware computer vision pipeline for automated nanoscale atomic force microscope surface characterization

Authors: Barandır, T. Karakoyun ^a, Deveci, Derya Gemici ^{b, ⁎}, Ünverdi, Ö. ^c, Çelebi, C. ^a

Source: In Ultramicroscopy August 2026 285

Image Segmentation of Bacterial Biofilms to Study Pathogen-Surface Interactions

Authors: Madugula, Sita Sirisha, Dumerer, Blythe, Millan-Solsona, Ruben, Marti, Checa Nualart, Collins, Liam, Vasudevan, Rama K, Scott, Retterer, Zhang, Lance, Cox, Spencer, Morrell-Falvey, Jennifer L

Source: 2024 IEEE International Conference on Big Data (BigData) Big Data (BigData), 2024 IEEE International Conference on. :4939-4940 Dec, 2024

Relation: 2024 IEEE International Conference on Big Data (BigData)

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

Authors: Thomas- -Chemin, Ophélie, Janel, Sébastien, Boumehdi, Zeyd, Séverac, Childérick, Trevisiol, Emmanuelle, Dague, Etienne, Duprés, Vincent

Contributors: DAGUE, Etienne, Équipe Ingénierie pour les sciences du vivant (LAAS-ELIA), Laboratoire d'analyse et d'architecture des systèmes (LAAS), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT), Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 (CIIL), Institut Pasteur de Lille, Pasteur Network (Réseau International des Instituts Pasteur)-Pasteur Network (Réseau International des Instituts Pasteur)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire CHU Lille (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS), Geroscience and rejuvenation research center (RESTORE), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-EFS-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Toulouse Biotechnology Institute (TBI), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)

Source: ACS Nano. 19:5045-5062

Subject Terms: 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, Animals, [SDV.IB]Life Sciences [q-bio]/Bioengineering

File Description: application/pdf

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

Processing AFM Data of Porous Anodic Alumina with Varying Degrees of Structure Regularity

Authors: E N Muratova, N R Kramor, Spivak, Yu M, V A Moshnikov

Application of ensemble machine learning methods to multidimensional AFM data sets

Authors: Dokukin, Maxim ^a, Dokukina, Irina ^a

Source: In Procedia Computer Science 2020 169:763-766

Atomic-Force Microscopy (AFM) data: Are these images real?

Authors: Nancy A. Burnham

Source: Open Access Government. 49:214-215

Automatic Analysis of Conjugated Polyelectrolyte–DNA Interactions Based on Sequential Analysis of AFM Imaging

Authors: Chworos, A., Obara, B.

Source: IEEE Transactions on Nanotechnology IEEE Trans. Nanotechnology Nanotechnology, IEEE Transactions on. 8(4):457-462 Jul, 2009

Using data science to locate nanoparticles in a polymer matrix composite

Authors: Thiem, Jonathan ^a, Cole, Daniel P. ^b, Dubey, Utkarsh ^c, Srivastava, Ashutosh ^d, Ashraf, Chowdhury ^e, Henry, Todd C. ^b, Bakis, Charles E. ^f, Vashisth, Aniruddh ^{a, ∗}

Source: In Composites Science and Technology 8 February 2022 218

Fast AFM Imaging Based on Neural Network Compressed Sensing

Authors: Sun, Meng, Chen, Na, Li, Shaoying, Liu, Zhenmin, Ye, Shuai, Shang, Yana, Liu, Shupeng, Pang, Fufei, Wang, Tingyun

Source: 2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP) Multimedia Signal Processing (MMSP), 2022 IEEE 24th International Workshop on. :1-5 Sep, 2022

Relation: 2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)

FRAME (Force Review Automation Environment): MATLAB-based AFM data processor

Authors: Kostyantyn R, Partola, George, Lykotrafitis

Source: Journal of Biomechanics. 49:1221-1224

Subject Terms: 0301 basic medicine, Automation, 0303 health sciences, 03 medical and health sciences, Elastic Modulus, 11. Sustainability, Image Processing, Computer-Assisted, Humans, Microscopy, Atomic Force, Software

Access URL: http://manuscript.elsevier.com/S0021929016301932/pdf/S0021929016301932.pdf
https://pubmed.ncbi.nlm.nih.gov/26972765

OpenFovea: open-source AFM data processing software

Authors: Roduit C, Saha B, Alonso-Sarduy L, Volterra A, Dietler G, Kasas S

Source: Nat Methods

Subject Terms: 0301 basic medicine, Electronic Data Processing, 0303 health sciences, 03 medical and health sciences, Macrophages, Computational Biology, Microscopy, Atomic Force, Software

Access URL: https://pubmed.ncbi.nlm.nih.gov/22847110

“Structural, Optical and AFM based PSD surface roughness studies of cadmium telluride thin films of nanometer thickness range”

Authors: Pahwa, Neelam ^a, Singh, Arvind R. ^{b, ⁎}

Source: In Results in Surfaces and Interfaces October 2025 21

Understanding Uncertainty and Error in Slip Length Measured by Atomic Force Microscopy (AFM)

Authors: Liu, Zehui, Author, Laaksonen, Aatto, Author, Mu, Liwen, Author, Zhu, Jiahua, Author, Lu, Xiaohua, Author, Ji, Xiaoyan, Author

Contributors: Liu, Zehui, Author, Laaksonen, Aatto, Author, Mu, Liwen, Author, Zhu, Jiahua, Author, Lu, Xiaohua, Author, Ji, Xiaoyan, Author

Source: Langmuir. 42(29):21344-21354

Subject Terms: Atomic force microscopy, Hydrophobicity, Surface roughness, Hydrodynamics, Fluids, Energiteknik, Energy Engineering

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-119205
https://ltu.diva-portal.org/smash/get/diva2:2091117/FULLTEXT01.pdf

Methods for determining and processing 3D errors and uncertainties for AFM data analysis

Authors: Klapetek, P, primary, Nečas, D, additional, Campbellová, A, additional, Yacoot, A, additional, Koenders, L, additional

Source: Measurement Science and Technology. 2011/01/11