Despite significant improvement in data acquisition capabilities of flow cytometers, data analysis still remains a challenge. 7 At present, data analysis is typically based in two-dimensional plots, ...

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. Additionally, ...

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 ...

Machine learning couldn’t be hotter, with several heavy hitters offering platforms aimed at seasoned data scientists and newcomers interested in working with neural networks. Among the more popular ...