AI Medical Compendium Journal:
Biophysical journal

Showing 1 to 10 of 32 articles

Automated Atomic Force Microscopy Analysis Using Convolutional and Recurrent Neural Networks.

Biophysical journal
Atomic force microscope (AFM) indentation allows high-resolution spatial characterization of biomechanical properties of cells and tissues. Rapid, reproducible, and quantitative analysis of AFM force curves has been challenging due to several technic...

Perspectives: Comparison of deep learning segmentation models on biophysical and biomedical data.

Biophysical journal
Deep learning-based approaches are now widely used across biophysics to help automate a variety of tasks including image segmentation, feature selection, and deconvolution. However, the presence of multiple competing deep learning architectures, each...

Enhancing fluorescence correlation spectroscopy with machine learning to infer anomalous molecular motion.

Biophysical journal
The random motion of molecules in living cells has consistently been reported to deviate from standard Brownian motion, a behavior coined as "anomalous diffusion." To study this phenomenon in living cells, fluorescence correlation spectroscopy (FCS) ...

Predicting RNA structure and dynamics with deep learning and solution scattering.

Biophysical journal
Advanced deep learning and statistical methods can predict structural models for RNA molecules. However, RNAs are flexible, and it remains difficult to describe their macromolecular conformations in solutions where varying conditions can induce confo...

Deep learning permits imaging of multiple structures with the same fluorophores.

Biophysical journal
Fluorescence microscopy, which employs fluorescent tags to label and observe cellular structures and their dynamics, is a powerful tool for life sciences. However, due to the spectral overlap between different dyes, a limited number of structures can...

Exploring protein-mediated compaction of DNA by coarse-grained simulations and unsupervised learning.

Biophysical journal
Protein-DNA interactions and protein-mediated DNA compaction play key roles in a range of biological processes. The length scales typically involved in DNA bending, bridging, looping, and compaction (≥1 kbp) are challenging to address experimentally ...

Structure-independent machine-learning predictions of the CDK12 interactome.

Biophysical journal
Cyclin-dependent kinase 12 (CDK12) is a critical regulatory protein involved in transcription and DNA repair processes. Dysregulation of CDK12 has been implicated in various diseases, including cancer. Understanding the CDK12 interactome is pivotal f...

Cryo-EM images of phase-separated lipid bilayer vesicles analyzed with a machine-learning approach.

Biophysical journal
Lateral lipid heterogeneity (i.e., raft formation) in biomembranes plays a functional role in living cells. Three-component mixtures of low- and high-melting lipids plus cholesterol offer a simplified experimental model for raft domains in which a li...

Enhancing micropipette aspiration with artificial-intelligence analysis.

Biophysical journal
The micropipette-aspiration technique is commonly used in the field of mechanobiology, offering a variety of measurement types. To extract biophysical parameters from the experiments, numerical analysis is required. Although previous works have devel...