ArticleScientific reports2022
Automated classification of estrous stage in rodents using deep learning.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 21 citations in OpenAlex.
- Application of Machine Learning Models to Identify Differences in Neural Electrophysiological Properties Across Estrous Cycle Phases.Neuroinformatics · 2026Article
- Sex-specific changes in appetite and energy intake in response to chronic resistance training in rats.Physiological reports · 2026Article
- Article
- Soluble Fiber Intake Restores the Estrous Cycle and Sex Hormone Alterations in APP/PS1 Female Mice.Cellular and molecular neurobiology · 2026Article
- Non-invasive ovulation tracking enables genetic engineering in wild rodents.Cell reports methods · 2026Article
- Advanced Multiscale Attention Network for Estrous Cycle Stage Identification from Rat Vaginal Cytology.Biology · 2025Article
- The estrous cycle modulates hippocampal spine dynamics, dendritic processing, and spatial coding.Neuron · 2025Article
- Persistent dopamine-dependent remodeling of the neural transcriptome in response to pregnancy and postpartum.bioRxiv : the preprint server for biology · 2025Article
- A novel method for estrous cycle staging using supervised object detection.NPP - digital psychiatry and neuroscience · 2025Article
- Collection and Analysis of Vaginal Smears to Assess Reproductive Stage in Mice.Current protocols · 2023Article
- The Track-by-Day Method for Monitoring the Rodent Estrous Cycle.Current protocols · 2023Article
- A Combination of Physical and Chemical Treatments Is More Effective in The Preparation of Acellular Uterine Scaffolds.Cell journal · 2023Article
- The Promise and Practicality of Addressing Sex as a Biological Variable and the Ovarian Cycle in Preclinical Epilepsy Research.Epilepsy currentsArticle
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rodent estrous cycle modulates a range of biological functions, from gene expression to behavior. The cycle is typically divided into four stages, each characterized by distinct hormone concentration profiles. Given the difficulty of repeatedly sampling plasma steroid hormones from rodents, the primary method for classifying estrous stage is by identifying vaginal epithelial cell types. However, manual classification of epithelial cell samples is time-intensive and variable, even amongst expert investigators. Here, we use a deep learning approach to achieve classification accuracy at expert level. Due to the heterogeneity and breadth of our input dataset, our deep learning approach ("EstrousNet") is highly generalizable across rodent species, stains, and subjects. The EstrousNet algorithm exploits the temporal dimension of the hormonal cycle by fitting classifications to an archetypal cycle, highlighting possible misclassifications and flagging anestrus phases (e.g., pseudopregnancy). EstrousNet allows for rapid estrous cycle staging, improving the ability of investigators to consider endocrine state in their rodent studies.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.