Xiaotang Lu

Probing Molecular Diversity and Ultrastructure of Brain Cells with Fluorescent Aptamers

This paper introduces CAptVE, a method for fluorescent aptamer-based labeling that enables molecular analysis in ultrastructurally reconstructable electron micrographs.

Dense, Continuous Membrane Labeling and Expansion Microscopy Visualization of Ultrastructure in Tissues

The paper introduces umExM, a method for dense membrane labeling and expansion microscopy to achieve nanoscale visualization of membranes in tissues, demonstrating resolution down to ~35 nm.

A Scalable Staining Strategy for Whole-Brain Connectomics

The paper introduces a 12-step protocol called ODeCO to infiltrate osmium in whole mouse brains, preserving ultrastructure for connectome mapping.

mEMbrain: an interactive deep learning MATLAB tool for connectomic segmentation on commodity desktops

mEMbrain provides an interactive MATLAB tool for connectomic segmentation, enabling user-friendly analysis of EM datasets with pre-trained networks and ground truth annotations.

Connectomics of the Octopus vulgaris vertical lobe provides insight into conserved and novel principles of a memory acquisition network

The paper analyzes the connectome of the Octopus vulgaris vertical lobe, identifying novel synaptic structures and functional roles in memory acquisition.

Multiplexed volumetric CLEM enabled by antibody derivatives provides new insights into the cytology of the mouse cerebellar cortex

The paper introduces a vCLEM method using fluorescent scFvs to combine molecular labeling with ssEM, revealing new cell types and subcellular features in mouse cerebellar cortex.