# Hieroglyph: Hierarchical Glia Graph Skeletonization and Matching

## TL;DR

Hieroglyph is an automatic 3D skeleton reconstruction algorithm for glia that improves accuracy and consistency over existing methods, enabling detailed morphological analysis crucial for neuroscience research.

## Contribution

The paper introduces Hieroglyph, a novel fully automatic method for temporal 3D glia skeleton reconstruction that outperforms current techniques in accuracy and consistency.

## Key findings

- 21% performance increase over state-of-the-art methods
- Outperforms existing methods in consistency measures
- Provides detailed 3D graph reconstructions for morphological analysis

## Abstract

Automatic 3D reconstruction of glia morphology is a powerful tool necessary for investigating the role of microglia in neurological disorders in the central nervous system. Current glia skeleton reconstruction techniques fail to capture an accurate tracing of the processes over time, useful for the study of the microglia motility and morphology in the brain during healthy and diseased states. We propose Hieroglyph, a fully automatic temporal 3D skeleton reconstruction algorithm for glia imaged via 3D multiphoton microscopy. Hieroglyph yielded a 21% performance increase compared to state of the art automatic skeleton reconstruction methods and outperforms the state of the art in different measures of consistency on datasets of 3D images of microglia. The results from this method provide a 3D graph and digital reconstruction of glia useful for a myriad of morphological analyses that could impact studies in brain immunology and disease.