Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2020 May 15;10:8034. doi: 10.1038/s41598-020-64898-1

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

PMC Copyright notice

AxoNet Plugin Results. After using the AxoNet plugin for ImageJ and Fiji on an image of a full rat optic nerve (a), the output axon density map (b) and the combination of these two images (c) are displayed. The combination of these two images is shown with the input image (a) in greyscale and the axon density map (b) overlaid in pink. Axon density scale is not provided here because these full images are scaled down significantly for inclusion in the manuscript and color scale is indistinguishable at this resolution. A grid of dark lines is visible in panel a; these lines correspond to tile edges from the microscopy imaging and are an artifact of visualization only since counts are carried out on much smaller portions of the full image.