Siqi Fang

Deep Learning Based Cross-Modality Histological Brain Section Registration in Multiple Species Using Synthetic Images

The paper develops a deep learning framework for cross-modality histological brain section registration across species using synthetic images, achieving accuracy comparable to alternative methods.

Comparative connectomics of the descending and ascending neurons of the Drosophila nervous system: stereotypy and sexual dimorphism

The paper provides a connectomic description of ascending and descending neurons in the Drosophila nervous system, revealing sexual dimorphism and motor-related circuits.

Whole-brain annotation and multi-connectome cell typing quantifies circuit stereotypy in Drosophila

Annotating the 127,978-neuron FlyWire fly connectome yields 4,552 cell types, 3,094 cross-validated against the hemibrain; cell-type edges above 10 synapses or 1.1% of input recur over 90% across hemispheres.

A Connectome of the Male Drosophila Ventral Nerve Cord

Roughly 23 thousand traced neurons and 10 million TBars of the male Drosophila nerve cord, reconstructed from electron microscopy, typed, and queryable in neuPrint down to motor neurons.

Systematic annotation of a complete adult male Drosophila nerve cord connectome reveals principles of functional organisation

The paper systematically annotates a complete adult male Drosophila nerve cord connectome, identifying neuron types, connectivity patterns, and sensory modalities to reveal organizational principles.

A Bayesian semi-parametric model for thermal proteome profiling

This paper introduces a Bayesian semi-parametric model to analyze thermal proteome profiling data, improving sensitivity and identifying new drug-protein associations.