The Muse™ Cell Analyzer counts cells more accurately than manual hemocytometry or image-based automated analysis. Multiple adherent and suspension cell types were harvested, diluted and counted. Cell counts from all three methods were averaged to obtain “theoretical cell concentration”. Each point represents average cell concentration of 3 replicates, and each data series was fit with linear regression. Muse™ cell analysis data were correlated with theoretical concentration with slope closest to 1, indicating superior accuracy.
Achieve smarter cell analysis with your own Muse™
Be inspired by innovation at your side. The Muse™ Cell Analyzer delivers accurate assessments of cell viability, apoptosis and cell cycle in just minutes, revolutionizing the way you analyze cells. With the Muse™ Cell Analyzer’s miniaturized optics, sleek, touchscreen operation and simple sample prep, you can make faster, more accurate decisions about your experiments, for more productive research.
Simple, effortless operation
Accurate and reliable results
Intuitive software and touchscreen user interface
Rapid setup and analysis
Compact and affordable
Muse™ Cell Analysis Principle
The Muse™ Cell Analyzer uses miniaturized fluorescence detection and microcapillary technology to deliver truly accurate, precise and quantitative cell analysis compared to other methods.
Sample analysis progresses from sample setup to analysis and results in 5 steps or fewer. The user interface is specifically tailored for streamlined applications, so you spend less time with experimental setup and analysis, and have more time for breakthrough research.
Muse™ Viability Product Bulletin
The assessment of cell concentration in combination with viability is an important step in the characterization of cell health. Cell viability information can be used for monitoring proliferation rates, optimizing growth conditions and normalizing cell data for further studies and assessing the impacts of cytotoxic compounds. Current methods rely on multiple, sometimes complex instrument platforms to provide these answers, reducing flexibility, limiting the ability to simply obtain comprehensive cell health information and adding increased costs to researchers. Other, simpler methods provide inconsistent results, because they are dependent upon single-uptake dyes, which do not effectively discriminate between the various states of cellular demise. Therefore, there is a crucial need for analytical methods that provide rapid, robust and reproducible count and viability data to enable the efficient, daily execution of cellular research.