The dimensionality of cytometry data has strongly increased in the last decade, and in many
situations the traditional manual downstream analysis becomes insufficient. The field is …

Dendritic cells (DCs) mature in an immunogenic or tolerogenic manner depending on the
context in which an antigen is perceived, preserving the balance between immunity and …

Abstract Machine learning (ML) algorithms are increasingly being used to help implement
clinical decision support systems. In this new field, we define as “translational machine …

The efficacy of antitumor immunity is associated with the metabolic state of cytotoxic T cells,
which is sensitive to the tumor microenvironment. Whether ionic signals affect adaptive …

Rationale Disease course in sarcoidosis is highly variable. Bronchoalveolar lavage fluid and
mediastinal lymph nodes show accumulation of activated T cells with a T-helper (Th) 17.1 …

Spectral flow cytometry is an upcoming technique that allows for extensive multicolor panels,
enabling simultaneous investigation of a large number of cellular parameters in a single …

Technical artifacts such as clogging that occur during the data acquisition process of flow
cytometry data can cause spurious events and fluorescence intensity shifting that impact the …

Full spectrum flow cytometry (FSFC) allows for the analysis of more than 40 parameters at
the single‐cell level. Compared to the practice of manual gating, high‐dimensional data …

Anti-nuclear antibodies are the hallmark of autoimmune diseases such as systemic lupus
erythematosus (SLE) and scleroderma. However, the molecular mechanisms of B cell …

Congenital heart disease (CHD) is the most common birth defect in newborns, often
requiring cardiac surgery with concomitant thymectomy that is known to increase disease …