Li‐An Chu

The paper introduces FIDELITY, a method for rapid cyclic immunolabeling of FFPE tissues, enabling multi-cycle protein profiling in intact specimens.

This study uses AI to optimize long-term memory in fruit flies, showing operant conditioning can be enhanced to outperform classical conditioning with AI-guided training.

This paper introduces vSPIM, a high-speed intravital imaging technique, and uses it to discover asymmetric serotonin-dependent post-shock activity in Drosophila brains.

This paper introduces a self-supervised framework for isotropic super-resolution and compression in expansion microscopy, enabling efficient storage and analysis of whole-organ datasets.

This study identifies dopaminergic modulation of mushroom body output neurons as critical for nociception-induced escape behavior in Drosophila.

This paper introduces ColExM, a method for expanding collagen-abundant tissues to enable super-resolution imaging of nanoscale structures.

This paper introduces HIF-Clear, a method for clearing and labeling FFPE brain specimens, enabling analysis of neuronal circuitry in whole brains.

The paper develops a weakly supervised U-Net model for precise segmentation of whole brain immunolabeled cell signals, revealing distinct neural activity maps related to social motivations.

The paper introduces a fluorescent probe, CyDAP, for detecting cytosolic dopamine in live Drosophila brains and links dopamine imbalance to Parkinson's disease vulnerability.

The paper demonstrates asymmetric ephaptic inhibition between olfactory receptor neurons in Drosophila, showing that the larger neuron in a pair dominates the interaction.

The paper uses super-resolution imaging to show that learning-induced proteins are localized to specific axonal sectors in Drosophila mushroom bodies, linking neural activity patterns to long-term memory formation.