Narayanan Kasthuri

The paper presents the Human Gut Cell Atlas v1.0, a unified reference of gut cell diversity, revealing how tissue structure influences cellular composition and enabling disease and organoid analysis.

The paper maps synaptic connections on mouse V1 pyramidal neurons, finding that excitatory synapses predominantly target basal dendrites in layers 2/3-6, with exceptions in layer 1 and near the soma.

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.

This paper introduces a method using synchrotron-source micro-x-ray computed tomography combined with machine learning to rapidly image and analyze butterfly eye structures, revealing morphological variation and supporting evolutionary insights.

The paper develops a pipeline to map every myelinated axon in non-human primate brains, enabling comprehensive analysis of long-distance neuronal connections.

This paper introduces photoemission electron microscopy (PEEM) as a new method for connectomics, offering synaptic resolution and faster imaging compared to traditional TEM and SEM.

The paper analyzes synapse development in mouse and macaque primary sensory cortices, finding that synapse formation rates are not correlated with lifespan and that inhibitory synapse development differs between species.

The paper demonstrates that the enteric nervous system is organized into circumferential stripes with regionally distinct development and neuronal composition.

The paper compares synaptic connectivity in primate and mouse visual cortices, finding primate connections are sparser, and shows that synaptic maintenance costs may explain this difference in artificial neural networks.

The paper develops a large-scale segmentation pipeline using supercomputing to analyze dendritic spines in connectomics datasets, improving efficiency and accuracy for synapse morphology studies.

The paper images a single postmortem mouse brain across five orders of spatial resolution using multiple imaging modalities to study multi-scale brain organization and pathologies.

The paper analyzes dendritic spine morphology using electron microscopy and computer vision, finding that spine shapes form a continuum rather than distinct categories.

The paper provides a three-dimensional X-ray microtomography dataset of thalamocortical structures to study neural heterogeneity.

This paper introduces a fast, learning-free method for sparse segmentation and reconstruction of neural volumes, demonstrating high-quality results across multiple imaging modalities.