Articles tagged with Cell Density
Researchers found that self-propelled particles can spontaneously form clusters when navigating a dense colony of dividing cells. The growing medium creates an environment that transforms the particles' behavior, making them behave like active Brownian particles and attracting them to each other without explicit interaction.
Researchers create living tissue at near-physiological cell density using a new bioprinting strategy called embedded 3D printing in a cell-dense suspension (EPICS). The method enables the precise fabrication of perfusable channels and dense cellular environments, mimicking real organs.
A research team from Nara Institute of Science and Technology developed a dynamic microfluidic channel that adjusts to particle size, increasing impedance flow cytometry's sensitivity and accuracy. The platform also leverages clogging as a strategy to optimize performance.
Researchers at MIT developed a method to quickly measure cell density, which can predict whether immunotherapies will work in patients or how tumors will respond to drug treatment. The technique uses a combined microfluidic device and fluorescent microscope to measure up to 30,000 cells in an hour.
A research team at Kumamoto University developed a deep learning-based method for analyzing the cytoskeleton more accurately and efficiently than ever before. This technique enabled more reliable measurements of cytoskeleton density, which is critical for understanding cellular structure and function.
The team developed a Synthetic Translational Coupling Element (SynTCE) that enhances the precision and integration density of genetic circuits in synthetic biology. This allows for more efficient gene circuit integration, minimizing interference between biological parts and enabling precise control over multiple genes.
Researchers create system to manipulate cell behavior using 'crowd control' technique, enabling predictable patterns and structures. Cell density plays key role in guiding cellular development, offering potential for medical applications such as tissue engineering and organ regeneration.
Researchers developed a model to accurately predict the cycle lives of high-energy-density lithium-metal batteries using machine learning methods. The technique is expected to improve safety and reliability in devices powered by these batteries.
A team of researchers led by Associate Professor Ken Natsuga found that cell-cell adhesion governs pattern formation in keratinocytes. Starvation also plays a crucial role in the formation of these patterns, which are influenced by cell proliferation and differentiation.
Researchers have uncovered a novel regulator governing how cells respond to mechanical cues, finding that ETV4 bridges cell density dynamics to stem cell differentiation. This discovery has significant implications for controlling cancer cells through mechanical cues.
Zarbio and Georgia State University scientists propose a framework for understanding Alzheimer's disease, linking molecular mechanisms, beta-amyloid biomarkers, and diagnosis. The Amyloid Degradation Toxicity Hypothesis resolves long-standing paradoxes in AD research.
Engineers use module assembly to develop vascularized organotypic tissues with high cell density and well-organized vasculature. This approach enables the rapid generation of functional tissue substitutes with improved efficacy in treating diseases.
Researchers have developed a new method to study the inner workings of cell nuclei during embryonic stem cell differentiation. By using fluorescent proteins, they found that biomaterials become more uniformly distributed as cells mature, resembling oil droplets in water, but with intriguing complexities.
Scientists from the University of Johannesburg found that shining two lasers on adult stem cells accelerates their transformation into different types of cells. The consecutive irradiation increases proliferation and differentiation under laboratory conditions, paving the way for potential therapies to repair damaged tissues.
A team at KAIST developed an E. coli strain that can grow up to 11-fold higher cell density using CO2 and formic acid as sole carbon sources. The engineered strain shows promise for producing chemicals from these carbon sources, a crucial step forward in biorefinery production.
Researchers discovered two distinct mechanisms of cell extrusion from epithelial sheets, with low-density cell crawling and lamellipodia extension being the predominant mechanism at low cell density, while purse-string contraction takes over at high densities.
Scientists discovered a new strategy for bacterial communication called efficiency sensing, which combines existing theories of quorum sensing and diffusion sensing. This approach takes into account the spatial distribution of bacteria, addressing the limitations of traditional models.