# Comprehensive and multi-resolution mapping of cell morphology and wiring through X-ray holographic nano-tomography

> **NIH NIH RF1** · HARVARD MEDICAL SCHOOL · 2021 · $1,889,320

## Abstract

Project Summary / Abstract
A fundamental goal in neuroscience is understanding how information is processed in neuronal circuits.
However, the immense complexity of most brain networks has been a significant barrier to progress. Neurons
are a primary computational component of the brain, yet we do not have a comprehensive list of their types for
even the simplest mammalian neuronal circuit. Moreover, a neuron’s function is dependent on how it is
connected, yet mammalian neuronal networks consist of billions of cells with trillions of connections. How do
we approach such a complex computational system? Recent advances in X-ray microscopy, electron
microscopy, and molecular genetic tools have allowed us to begin detailed mapping of neural network anatomy
and connectivity. The cerebellum is an excellent system to scale and validate a new platform to systematically
reverse engineer a functional neural circuit that is involved in motor control and social behavior. Its basic
structure is well ordered, relatively simple and sufficiently studied to have inspired computational models that
capture aspects of cerebellar function. However, even the most advanced models are limited by an incomplete
characterization of the cell types and their connectivity within the cerebellum. Here, we propose to scale and
validate our next-generation X-ray holographic nanotomography (XNH) platform and provide a comprehensive
characterization of cerebellar circuitry. We will use tools recently established in our labs to disentangle a circuit
that offers the advantages of relative simplicity and a strong starting foundation. These studies will allow us to
understand principles of cerebellar circuit and cell type organization, and may help us determine the role of
specific cell types in neurodegenerative disorders.

## Key facts

- **NIH application ID:** 10376584
- **Project number:** 1RF1MH128949-01
- **Recipient organization:** HARVARD MEDICAL SCHOOL
- **Principal Investigator:** Alexandra Teodora JOITA PACUREANU
- **Activity code:** RF1 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $1,889,320
- **Award type:** 1
- **Project period:** 2021-09-17 → 2026-03-16

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10376584

## Citation

> US National Institutes of Health, RePORTER application 10376584, Comprehensive and multi-resolution mapping of cell morphology and wiring through X-ray holographic nano-tomography (1RF1MH128949-01). Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/grant/nih/10376584. Licensed CC0.

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