# vEMINR: Ultra‐Fast Isotropic Reconstruction for Volume Electron Microscopy With Implicit Neural Representation

## TL;DR

vEMINR is a fast and accurate method for 3D reconstruction of volume electron microscopy images using neural networks, enabling efficient processing of large datasets.

## Contribution

vEMINR introduces an ultra-fast isotropic reconstruction method for vEM using implicit neural representation, achieving significant speed and accuracy improvements.

## Key findings

- vEMINR outperforms mainstream methods with over tenfold faster reconstruction on 11 public datasets.
- The method improves the accuracy of organelle and neuron reconstructions from vEM images.
- vEMINR enables high-throughput processing of terabyte-scale vEM datasets while maintaining accuracy.

## Abstract

Volume electron microscopy (vEM) is a powerful technique that enables 3D visualization of biological structures at the nanometer scale. However, vEM imaging relies on sequential scanning of 2D images, and due to section thickness limitations, the axial resolution is significantly lower than the lateral resolution. In this paper, we propose the vEMINR, an ultra‐fast isotropic reconstruction method based on implicit neural representation (INR). This method enhances the reconstruction quality of vEM images by learning the true degradation patterns of low‐resolution images, and significantly accelerates the reconstruction process by utilizing the efficient parameterization and a continuous function representation of INR. In experiments on 11 public datasets, vEMINR outperforms mainstream methods with over tenfold faster reconstruction and higher accuracy. vEMINR substantially improved the accuracy of organelle and neuron reconstruction from vEM. Overall, the excellent reconstruction time efficiency of vEMINR enables high‐throughput processing of terabyte‐scale vEM datasets while maintaining reconstruction accuracy. We believe that it will play a significant role in large‐scale vEM image reconstruction and related research fields.

vEMINR is an ultra‐fast isotropic reconstruction method for vEM based on implicit neural representation, achieving over tenfold faster reconstruction and higher accuracy on 11 datasets, showing strong potential for large‐scale vEM data processing.