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

. 2017 May 31;7:2510. doi: 10.1038/s41598-017-02820-y

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

© The Author(s) 2017

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

Time-course analysis of ER activity in selected body areas after administration of synthetic and natural estrogens. (a) Optical imaging of ERE-Luc mice at 0, 3 and 6 hours after the s.c. injection of the indicated compounds. Photos portray whole body (ventral and dorsal view) pseudocolor images representing the amount of photon emission. Each individual is representative of its own group. (b) In vivo BLI: photon emission from selected body areas were measured. Bars represent the mean +/− SEM of photon emission measured in 4 animals/group. *p < 0.05; **p < 0.01; ***p < 0.001 vs time 0 ANOVA followed by Bonferroni’s test for multiple comparisons.