AIMC Topic: Microscopy, Atomic Force

Clear Filters Showing 11 to 20 of 49 articles

Pattern recognition in the nucleation kinetics of non-equilibrium self-assembly.

Nature Jan 17, 2024
Inspired by biology's most sophisticated computer, the brain, neural networks constitute a profound reformulation of computational principles. Analogous high-dimensional, highly interconnected computational architectures also arise within information...
Neural Networks, Computer Computer Simulation DNA Microscopy, Fluorescence Kinetics Microscopy, Atomic Force Pattern Recognition, Automated
View on PubMed DOI

Deep Learning Image Recognition-Assisted Atomic Force Microscopy for Single-Cell Efficient Mechanics in Co-culture Environments.

Langmuir : the ACS journal of surfaces and colloids Dec 28, 2023
Atomic force microscopy (AFM)-based force spectroscopy assay has become an important method for characterizing the mechanical properties of single living cells under aqueous conditions, but a disadvantage is its reliance on manual operation and exper...
Deep Learning Microscopy, Atomic Force Coculture Techniques Mechanical Phenomena Elastic Modulus
View on PubMed DOI

Enhancing robustness, precision, and speed of traction force microscopy with machine learning.

Biophysical journal Jul 31, 2023
Traction patterns of adherent cells provide important information on their interaction with the environment, cell migration, or tissue patterns and morphogenesis. Traction force microscopy is a method aimed at revealing these traction patterns for ad...
Machine Learning Cell Movement Bayes Theorem Microscopy, Atomic Force Traction
View on PubMed DOI

Cell recognition based on atomic force microscopy and modified residual neural network.

Journal of structural biology Jul 13, 2023
Cell recognition methods are in high demand in cell biology and medicine, and the method based on atomic force microscopy (AFM) shows a great value in application. The difference in mechanical properties or morphology of cells has been frequently use...
Neural Networks, Computer Cell Communication Microscopy, Atomic Force Elastic Modulus
View on PubMed DOI

A Robust Neural Network for Extracting Dynamics from Electrostatic Force Microscopy Data.

Journal of chemical information and modeling Sep 13, 2022
Advances in scanning probe microscopy (SPM) methods such as time-resolved electrostatic force microscopy (trEFM) now permit the mapping of fast local dynamic processes with high resolution in both space and time, but such methods can be time-consumin...
Neural Networks, Computer Microscopy, Atomic Force Calibration Static Electricity Iodides
View on PubMed DOI

Comparative study of deep learning algorithms for atomic force microscopy image denoising.

Micron (Oxford, England : 1993) Jul 27, 2022
Atomic force microscopy (AFM) enables direct visualisation of surface topography at the nanoscale. However, post-processing is generally required to obtain accurate, precise, and reliable AFM images owing to the presence of image artefacts. In this s...
Algorithms Deep Learning Image Processing, Computer-Assisted Microscopy, Atomic Force Signal-To-Noise Ratio
View on PubMed DOI

Deep-learning-based 3D cellular force reconstruction directly from volumetric images.

Biophysical journal Apr 28, 2022
The forces exerted by single cells in the three-dimensional (3D) environments play a crucial role in modulating cellular functions and behaviors closely related to physiological and pathological processes. Cellular force microscopy (CFM) provides a f...
Neural Networks, Computer Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Microscopy, Atomic Force Mechanical Phenomena
View on PubMed DOI

Wrinkle force microscopy: a machine learning based approach to predict cell mechanics from images.

Communications biology Apr 14, 2022
Combining experiments with artificial intelligence algorithms, we propose a machine learning based approach called wrinkle force microscopy (WFM) to extract the cellular force distributions from the microscope images. The full process can be divided ...
Artificial Intelligence Machine Learning Algorithms Microscopy, Atomic Force Mechanical Phenomena
View on PubMed DOI

Speeding up the Topography Imaging of Atomic Force Microscopy by Convolutional Neural Network.

Analytical chemistry Mar 16, 2022
Atomic force microscopy (AFM) provides unprecedented insight into surface topography research with ultrahigh spatial resolution at the subnanometer level. However, a slow scanning rate has to be employed to ensure the image quality, which will largel...
Neural Networks, Computer Algorithms Reproducibility of Results Microscopy, Atomic Force
View on PubMed DOI

Accelerating AFM Characterization via Deep-Learning-Based Image Super-Resolution.

Small (Weinheim an der Bergstrasse, Germany) Nov 27, 2021
Atomic force microscopy (AFM) is one of the most popular imaging and characterizing methods applicable to a wide range of nanoscale material systems. However, high-resolution imaging using AFM generally suffers from a low scanning yield due to its me...
Deep Learning DNA Microscopy, Atomic Force
View on PubMed DOI
Popular Topics
Recent Journals