Ana Correia

The paper releases a complete larval Drosophila CNS connectome with automated segmentations and highlights the need for improved machine vision for proofreading.

The paper introduces a standardized proofreading protocol for improving synapse annotations in EM connectomics by combining machine learning with multi-rater calibration and probabilistic modeling.

The paper presents a high-resolution 3D X-ray nanotomography dataset of the pygmy squid Idiosepius hallami, mapping large-scale neural connectivity.

The paper maps the synaptic-resolution connectome of a Drosophila larva brain, identifying neuron types, circuit motifs, and structural features.