Clinical trials and high-throughput flow cytometry produce large amounts of data, leading to an analysis bottleneck unaddressed by commercially available cytometry analysis software. As the ...

Despite this, current multiparameter flow cytometry data analysis approaches still remain subjective due to the need of experienced personnel for both data analysis and interpretation of the results.

The interpretation of high-dimensional flow cytometry data is difficult and time consuming. Here, Sgier et al.present an improved method that combines stain-free flow cytometry with viSNE data ...

Abstract Flow cytometry is crucial for diagnosing hematological malignancies. However, the rising number of tests and ongoing labor shortages are placing significant pressure on both the lab and its ...

Using this approach, a biological sample can be analyzed in parts—exploiting the ability to separate individual cells for analysis using flow cytometry—with the data then combined to piece ...

Rethink your data analysis tools for flow cytometry. Since its invention in the 1960s, flow cytometry—a technique used to identify and sort specific populations of cells—has extended its reach beyond ...

Aigenpulse is launching its CytoML Experiment Suite specifically aimed at streamlining and automating cytometry analysis at scale.

About METAflow METAflow is a flow cytometry data analysis software with unmatched robustness and a seamless, comprehensive, user-friendly interface.

With the introduction of the first commercial spectral cytometer in 2013, spectral flow cytometry has been a technology trend in the cell analysis market. Flow cytometry measures cells through ...

Flow Cytometry Market (2024-2035): An In-depth Analysis of Trends, Innovations, and Future Prospects Market Overview The Flow Cytometry Market is a powerful analytical technology used to measure and ...