13 research outputs found
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The Importance and Impact of Nurse Leader Engagement With State Nursing Workforce Centers: Lessons From the COVID-19 Pandemic.
The COVID-19 pandemic caused unparalleled morbidity and mortality across the globe. Health care agencies, public health departments, and academic institutions experienced widespread disruption to usual operations. These events had an adverse impact on the nursing workforce. Nurse leaders in California rallied to identify and remediate the effects of COVID-19 on the nursing workforce. This article describes the strategy and interventions. Nurse leaders should invest resources in state workforce centers to ensure the health and supply of a strong nursing workforce
In vivo micro particle image velocimetry measurements of blood-plasma in the embryonic avian heart
Simultaneous velocity field measurements in two-phase flows for turbulent mixing of sprays by means of two-phase PIV
Insight into Generation and Evolution of Sea-Salt Aerosols from Field Measurements in Diversified Marine and Coastal Atmospheres
Experimental investigation on interactions among fluid and rod-like particles in a turbulent pipe jet by means of particle image velocimetry
Modeling the Diffusion and Transport of Suspended Sediment in Open Channels, Using Two-Phase Flow Theory
Quantification of Dynamic Morphological Drug Responses in 3D Organotypic Cell Cultures by Automated Image Analysis
Glandular epithelial cells differentiate into complex multicellular or acinar structures, when embedded in three-dimensional (3D) extracellular matrix. The spectrum of different multicellular morphologies formed in 3D is a sensitive indicator for the differentiation potential of normal, non-transformed cells compared to different stages of malignant progression. In addition, single cells or cell aggregates may actively invade the matrix, utilizing epithelial, mesenchymal or mixed modes of motility. Dynamic phenotypic changes involved in 3D tumor cell invasion are sensitive to specific small-molecule inhibitors that target the actin cytoskeleton. We have used a panel of inhibitors to demonstrate the power of automated image analysis as a phenotypic or morphometric readout in cell-based assays. We introduce a streamlined stand-alone software solution that supports large-scale high-content screens, based on complex and organotypic cultures. AMIDA (Automated Morphometric Image Data Analysis) allows quantitative measurements of large numbers of images and structures, with a multitude of different spheroid shapes, sizes, and textures. AMIDA supports an automated workflow, and can be combined with quality control and statistical tools for data interpretation and visualization. We have used a representative panel of 12 prostate and breast cancer lines that display a broad spectrum of different spheroid morphologies and modes of invasion, challenged by a library of 19 direct or indirect modulators of the actin cytoskeleton which induce systematic changes in spheroid morphology and differentiation versus invasion. These results were independently validated by 2D proliferation, apoptosis and cell motility assays. We identified three drugs that primarily attenuated the invasion and formation of invasive processes in 3D, without affecting proliferation or apoptosis. Two of these compounds block Rac signalling, one affects cellular cAMP/cGMP accumulation. Our approach supports the growing needs for user-friendly, straightforward solutions that facilitate large-scale, cell-based 3D assays in basic research, drug discovery, and target validation