Deep learning enabled label-free microfluidic droplet classification for single cell functional assays.

Droplet-based microfluidics techniques coupled to microscopy allow for the characterization of cells at the single-cell scale. However, such techniques generate substantial amounts of data and microscopy images that must be analyzed. Droplets on these images usually need to be classified depending on the number of cells they contain.

An Experimental Study to Optimize Neuromuscular Blockade Protocols in Cynomolgus Macaques: Monitoring, Doses, and Antagonism.

Background: Neuromuscular blocking agents (NMBAs) are a crucial component of anesthesia and intensive care through the relaxation of skeletal muscles. They can lead to adverse reactions such as postoperative residual neuromuscular block. Only one agent is capable of an instant block reversal in deep block situations, but is restricted to aminosteroid agents.

IgE plasma cells are transcriptionally and functionally distinct from other isotypes.

Understanding the phenotypic and transcriptional signature of immunoglobulin E (IgE)-producing cells is fundamental to plasma cell (PC) biology and development of therapeutic interventions for allergy. Here, using a mouse model of intranasal house dust mite (HDM) exposure, we showed that short-lived IgE PCs emerge in lung draining lymph nodes (dLNs) during early exposure (<3 weeks) and long-lived IgE PCs accumulate in the bone marrow (BM) with prolonged exposure (>7 weeks). IgE PCs had distinct surface and gene expression profiles in these different tissues compared with other Ig isotypes.