Enhanced population selection for immune composition analysis

Release: Yozakura | 夜桜 | Night Cherry Blossom

Feature overview:

We’ve introduced a significant update to our immune composition visualization tool, offering users unprecedented flexibility in analyzing immune cytometry data. Previously, analyses were locked to a fixed top-level population, specifically,, non-granulocytes and total leukocytes, limiting the scope of exploration across immune subsets.

What’s new?

• Dynamic Top-Level Population Selection: A new drop-down menu enables users to select different top-level populations, such as T cells, B cells, or monocytes or other cell subsets within the immune hierarchy. This applies to both gated and unsupervised analyses.
• Relative fraction and cell counts: Visualize cell subsets as proportions of any selected top-level population. For instance, when focusing on monocytes, breakdowns into classical, non-classical, and intermediate monocyte subsets are displayed as fractions of total monocytes.

Why this is important:

• Before: Users could only view cell types as fractions of total non-granulocytes or leukocytes, limiting comparisons across distinct populations.
• Now: By selecting “Monocytes” as the top-level population, for example, researchers can analyze monocyte subsets (e.g., classical, non-classical, intermediate) as fractions of total monocytes, for more specific and detailed insights. For unsupervised analyses on whole blood, the top-level gates can be set to non-granulocytes or granulocytes.

Improved Visualization:

With non-granulocytes selected, users can visualize the immune tree comprehensively, including all subsets under this branch.

By switching to a specific cell population, like monocytes, the view narrows to highlight specific monocyte subpopulations, providing detailed insights into the particular cell lineage.

Update your workflows to take full advantage of this new flexibility!