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Mouse Estrous Cycle Identification Tool and Images

Overview of attention for article published in PLOS ONE, April 2012
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Title
Mouse Estrous Cycle Identification Tool and Images
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0035538
Pubmed ID
Authors

Shannon L. Byers, Michael V. Wiles, Sadie L. Dunn, Robert A. Taft

Abstract

The efficiency of producing timed pregnant or pseudopregnant mice can be increased by identifying those in proestrus or estrus. Visual observation of the vagina is the quickest method, requires no special equipment, and is best used when only proestrus or estrus stages need to be identified. Strain to strain differences, especially in coat color can make it difficult to determine the stage of the estrous cycle accurately by visual observation. Presented here are a series of images of the vaginal opening at each stage of the estrous cycle for 3 mouse strains of different coat colors: black (C57BL/6J), agouti (CByB6F1/J) and albino (BALB/cByJ). When all 4 stages (proestrus, estrus, metestrus, and diestrus) need to be identified, vaginal cytology is regarded as the most accurate method. An identification tool is presented to aid the user in determining the stage of estrous when using vaginal cytology. These images and descriptions are an excellent resource for learning how to determine the stage of the estrous cycle by visual observation or vaginal cytology.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,495 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 <1%
United Kingdom 4 <1%
Brazil 3 <1%
France 2 <1%
Netherlands 2 <1%
Portugal 2 <1%
Japan 2 <1%
Germany 1 <1%
India 1 <1%
Other 12 <1%
Unknown 1458 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 291 19%
Student > Bachelor 229 15%
Researcher 183 12%
Student > Master 169 11%
Student > Doctoral Student 91 6%
Other 182 12%
Unknown 350 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 332 22%
Neuroscience 227 15%
Biochemistry, Genetics and Molecular Biology 212 14%
Medicine and Dentistry 131 9%
Pharmacology, Toxicology and Pharmaceutical Science 45 3%
Other 160 11%
Unknown 388 26%