Objective: To systematically review the neuroimmunology literature to determine the average immune cell counts reported by flow cytometry in wild-type (WT) homogenized mouse brain. Background: Mouse models of gene dysfunction are widely used to study age-associated neurodegenerative disorders, including Alzheimer's disease and Parkinson's disease. The importance of the neuroimmune system in multifactorial disorders has become increasingly evident, and methods to quantify resident and infiltrating immune cells in brain, including flow cytometry, have been applied numerous times. However, there appears to be no consensus on the best approach to perform flow cytometry, to quantify immune cell counts or report them. The development of more standardized methods would accelerate neuroimmune discovery and validation through meta-analyses. Methods: Examination of the PROSPERO registry confirmed a systematic review of 'neuroimmunology' by 'flow cytometry' has yet to be reported. A protocol for a systematic review was subsequently based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) using Studies, Data, Methods and Outcomes (SDMO) criteria. Literature searches were conducted in Google Scholar and PubMed databases. From that search, 870 candidate studies were identified and 417 studies were assessed for eligibility based on formal exclusion criteria. Results: Out of the 417 studies reviewed, 52 were eligible for inclusion and comparative analysis. Each study assessed immune cell subsets within homogenized mouse brain and used flow cytometry. Nonetheless, there was considerable variability in methods, data analysis, reporting and results. Descriptive statistics are presented on study designs and results, including medians with interquartile ranges (IQRs) and overall means with standard deviations (SD) for specific immune cell counts and their relative proportions, within and between studies. Conclusion: Experiments to conduct and report flow cytometry data, derived from homogenized mouse brains, would benefit from a more standardized approach. While within study comparisons are valid, variability in methods, counts and proportions of immune cell populations are too broad for meta-analysis. However, inclusion of a minimal protocol with more detailed methods, controls and standards could enable this nascent field to compare results across studies.