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 ...

The high throughput of flow cytometry has allowed for data sets on very specific cell processes to be made (e.g. ligand and G protein-coupled receptor interactions and the resulting signaling ...

Flow cytometry is used when there is a need to profile a large number of different cell types in a population. The cells are separated on the basis of differences in size and morphology ...

Flow Cytometry: Cell Analysis Speeds Up Flow cytometry entered biomedical research in immunology and cancer labs out of initial interests in separating and counting cells in a mixed population, but ...

Cellares and Sony Announce a Joint Development Collaboration to Integrate Flow Cytometry-Based Sorting and Online Analysis into an Automated, High-Throughput Cell Therapy Manufacturing Platform ...

In flow cytometry, a user typically employs complex gating techniques to identify subsets of cells. When these subsets are identified, the user then wants statistics such as the mean, median, and ...

This educational webinar will provide an overview of cell sorting techniques used to isolate individual cells based on specific characteristics, such as size, shape, and fluorescence for downstream ...

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 ...

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 ...

Subjectivity in flow-cytometry data analysis has long been a challenge. Recent advancements in high-speed camera capabilities have led to the integration of morphological features with traditional ...