Image-Based Phenotypic Screening with Human Primary T Cells Using One-Dimensional Imaging Cytometry with Self-Tuning Statistical-Gating Algorithms.

The parallel microfluidic cytometer (PMC) is an imaging flow cytometer that operates on statistical analysis of low-pixel-count, one-dimensional (1D) line scans. It is highly efficient in data collection and operates on suspension cells. In this article, we present a supervised automated pipeline for the PMC that minimizes operator intervention by incorporating multivariate logistic regression for data scoring.

Image-based cell-resolved screening assays in flow.

A parallel microfluidic cytometer (PMC) is based on a one-dimensional (1D) scanning detector, a parallel array of flow channels, and new multiparameter analysis algorithms that operate on low-pixel-count 1D images. In this article, we explore a series of image-based live- and fixed-cell screening assays, including two NF-kB nuclear translocations and T-cell capping. We then develop a new multiparametric linear weighted classifier that achieves a Z' factor sufficient for scaled pharmaceutical discovery with Jurkat cells in suspension.

Investigating the applicability of inverse gas chromatography to binary powdered systems: an application of surface heterogeneity profiles to understanding preferential probe-surface interactions.

The aim of this study was to investigate the applicability of surface energy characterization tools such as inverse gas chromatography for the analysis of binary systems. Drug substance was coated with two grades of silicon dioxide and the surface energy characteristics determined using a surface energy analyser. The results demonstrated that the measured dispersive surface energy of such intermediate samples were as a consequence of probe interactions with both constituent components, however, the degree and order of interaction with each species was related to surface energy heterogeneity and surface availability.

A new perspective on the mechanical evaluation of granular material.

The mechanical strength of granules is an important parameter to be determined prior to any further downstream formulation processing. It is important to have a good gauge on the granule integrity to forecast any foreseeable powder issues associated with the material processability such as segregation, content uniformity, and material flow-ability. In this study, a systematic methodology has been developed to quantify the integrity of these granules subjected to a low frequency acoustic field to arrive at the Granule Integrity (GI) index.