Deep neural networks explained clearly, from fundamentals to real-world application. No PhD required.

Introduction to AI methods for microscopy and quantitative bioimaging The AIM-Net Summer School is a core training activity of the AIM-Net thematic network (AEI–REDES) in collaboration […]

Single-molecule localisation microscopy enables nanoscale mapping of molecular organisation, but clustering stochastic data remains challenging. Here, authors present a graph neural network method tha...

Muñoz-Gil and colleagues report the results of an open challenge where they benchmarked algorithms for the characterization of motion changes in single-particle tracking. By ranking methods on simulat...

DeepTrackAI has 16 repositories available. Follow their code on GitHub.

Graphs provide a powerful framework for modeling complex systems, but their structural variability makes analysis and classification challenging. To address this, we introduce GAUDI (Graph Autoencoder...

Diffusion models for super-resolution microscopy: a tutorial, Bachimanchi, Harshith, Volpe, Giovanni