Have you ever wanted to know how many tumor cells were in each microliter of a blood sample? The newest CellEngine release expands the ability to calculate absolute cell counts, which determine the number of a specific cell type in a given volume of sample.
Creating a figure to communicate a gating hierarchy is a common task for data review and for sharing gating strategies with other scientists. These consist of a series of flow plots showing the gate positions and parent-child relationships between gated populations. CellEngine can now generate these plots automatically, making analysis even faster.
Gating is the backbone of cytometry analysis. Some data is consistent enough that gate positions can be set globally, but oftentimes, gates need to be adjusted for every sample. This process can be extremely time consuming, and maintaining consistency can be challenging, especially if multiple people are working on a project. To make analysis easier, we developed an algorithm that quickly tailors gates to the underlying data.