This special issue of Cytometry focuses on a review of the current landscape regarding the enhancement of reproducibility and rigor in scientific research, specifically in studies where cytometry is utilized. Since the onset of the initiative from NIH toward “Enhancing Reproducibility through Rigor and Transparency” 1, there have been hundreds of publications spanning many scientific disciplines focusing on this issue. A PubMed search using “rigor” and “reproducibility” keywords in 2019 returned almost. . .
Antibody reagents are the key components of multiparametric flow cytometry analysis. Their quality performance is an absolute requirement for reproducible flow cytometry experiments. While there is an enormous body of antibody reagents available, there is still a lack of consensus about which criteria should be evaluated to select antibody reagents with the proper performance, how to validate antibody reagents for flow cytometry, and how to. . .
Poor adherence to best practices, insufficient training, and pressure to produce data quickly may lead to publications of suboptimal biomedical research flow cytometry data, which contributes to the body of irreproducible research findings. In addition, documentation of compliance with best flow cytometry practices for submission, visualization, and publication of flow cytometry data is currently endorsed by very few scientific journals, which is particularly concerning as . . .
There was long time ago a saying by someone whose name I cannot recall at the moment: “Trust is good but control is better” (Or in other words: Доверие это хорошо. Контроль лучше). This is particularly true for quantitative science and I have...