electron-microscopy-datasets

Visualization of electron microscopy datasets with deep learning

Electron Microscopy Particle Segmentation Dataset

Bayesian Particle Instance Segmentation for Electron Microscopy Image Quantification (JCIM 2021).

Related codes for Generative learning of morphological and contrast heterogeneities for self-supervised electron micrograph segmentation

Drift-Sense solves the Navigation-Error Recovery problem. By utilizing a hybrid architecture of classical vision (NCC) and a lightweight Siamese CNN ranker, it accurately matches high-resolution reference patterns against noisy, low-resolution SEM images without heavy transformers.

Neural-network–based dimensionality reduction of 4D-STEM datasets, including data loading, probe alignment, ADF reconstruction, and autoencoder training for latent-space analysis.

A simple project for aggregating EM data

Zebrafish Hindbrain Connectome

Database for easily downloading electron microscopy datasets and model weights

Using deep learning methods to recognize and measure silica spheres in SEM pictures.