Return to search results
Open folder to download image and metadata

Citation

J. Flaws, R. Santacruz-Márquez, and A. Safar, 2023, 'Flaws Lab: CD1 Mouse Ovarian Histology 21074_UN_4G', https://mother-db.org/MDB0000316, Multispecies Ovary Tissue Histology Electronic Repository, Retrieved: December 30, 2024

Taxonomic

Genus: Mus (House Mice)

Species: Mus musculus (House Mouse)

Donor

Donor ID: JF_MM_21074_F

Life Stage: adult

Age: 0 years, 82 days

Stage of Cycle: diestrus

Attribution

Contact: Jodi Flaws

Slide information

Accession #: MDB0000316

Ovary position: unspecified

Location: wholeOvary

Section thickness: 8 microns

Fixation: neutral buffered 10% formalin

Stain: hematoxylinAndEosin

Immunohistochemistry: None

Experimental treatment: Control - mock treatment - Corn oil (7%) in rodent chow for 30 days

Other pathology: None

This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.