Julia Lyudchik

The paper introduces PRISM, a platform that uses combinatorial protein barcodes to enable self-correcting neuron tracing with molecular context, improving tracing accuracy and handling spatial gaps.

This paper develops LICONN, a light-microscopy based method for synapse-level connectomic reconstruction of brain tissue using hydrogel expansion and deep learning.

This paper introduces an image-based 3D active stabilization method for super-resolution microscopy, achieving ~1 nm stability without requiring fiducial markers or complex hardware.

This paper introduces a method for saturated reconstruction of living brain tissue using advanced imaging and deep learning to achieve high-resolution, volumetric analysis of neural structures over time.

The paper introduces CATS, a method to map brain tissue architecture across scales, demonstrating its application to hippocampal mossy fiber circuitry.