NIEND: neuronal image enhancement through noise disentanglement.

ABSTRACT:

Motivation

The full automation of digital neuronal reconstruction from light microscopic images has long been impeded by noisy neuronal images. Previous endeavors to improve image quality can hardly get a good compromise between robustness and computational efficiency.

Results

We present the image enhancement pipeline named Neuronal Image Enhancement through Noise Disentanglement (NIEND). Through extensive benchmarking on 863 mouse neuronal images with manually annotated gold standards, NIEND achieves remarkable improvements in image quality such as signal-background contrast (40-fold) and background uniformity (10-fold), compared to raw images. Furthermore, automatic reconstructions on NIEND-enhanced images have shown significant improvements compared to both raw images and

SUBMITTER: Zhao ZH 

PROVIDER: S-EPMC11650625 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature