Biology subjects

Sampathkumar, V.

Publications and source records attributed to Sampathkumar, V..

3 recordsLinked to original sources

bioRxiv2021

Regional cytoarchitecture of the adult and developing mouse enteric nervous system

The enteric nervous system (ENS) populates the gastrointestinal (GI) tract and controls GI function. In contrast to the central nervous system, macrostructure of the ENS has been largely overlooked. Here, we visually and computationally demonstrate that the ENS is organized in circumferential stripes that regionally differ in development and neuronal composition. This characterization provides a blueprint for future understanding of region-specific GI function and identifying ENS structural correlates of GI disorders.

neuroscience↗

bioRxiv2020

Multi-modal imaging of a single postmortem mouse brain over five orders of magnitude of resolution

Mammalian neurons operate at length scales spanning five orders of magnitude; micron-scale-diameter myelinated axons project millimeters across brain regions, ultimately forming nanometer scale synapses on individual post-synaptic neurons. Capturing these anatomical features across that breadth of scale has required imaging samples with multiple independent imaging modalities (e.g. MRI, electron microscopy, etc.). Translating between the different modalities, however, requires imaging the same brain with each. Here, we imaged the same postmortem mouse brain over five orders of spatial resolution using MRI, whole brain micron-scale synchrotron x-ray tomography (CT), and large volume automated serial electron microscopy. Using this pipeline, we can track individual myelinated axons previously relegated to axon bundles in diffusion tensor MRI or arbitrarily trace neurons and their processes brain-wide and identify individual synapses on them. This pipeline provides both an unprecedented look across a single brains multi-scaled organization as well as a vehicle for studying the brains multi-scale pathologies.

neuroscience↗

bioRxiv2020

A three-dimensional thalamocortical dataset for characterizing brain heterogeneity

Neural cytoarchitecture is heterogeneous, varying both across and within brain regions. The consistent identification of regions of interest is one of the most critical aspects in examining neurocircuitry, as these structures serve as the vital landmarks with which to map brain pathways. Access to continuous, three-dimensional volumes that span multiple brain areas not only provides richer context for identifying such landmarks, but also enables a deeper probing of the microstructures within. Here, we describe a three-dimensional X-ray microtomography imaging dataset of a well-known and validated thalamocortical sample, encompassing a range of cortical and subcortical structures. In doing so, we provide the field with access to a micron-scale anatomical imaging dataset ideal for studying heterogeneity of neural structure.

neuroscience↗