Researchers at the Lew lab have created a novel hardware and algorithm that enables visualization of cell membranes and molecular motions in six dimensions. This breakthrough allows for the observation of 3D structures with additional information on molecular orientation, providing new insights into biological systems.
Researchers developed a live imaging system to observe collagen synthesis in fibroblasts, revealing the intracellular processing and transportation of collagen fibers. The study found that this step controls the speed of collagen synthesis, providing a new understanding of collagen production.
Researchers developed a novel algorithm, 'Joint Space and Frequency Reconstruction' (JSFR-SIM), to accelerate image reconstruction in optically sectioned superresolution structured illumination microscopy. The method achieves 80 times faster execution speed without compromising image quality.
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A new imaging method, combining optimal imaging and machine learning, can determine cell viability without chemical staining. The approach achieved a 95% accuracy rate and has the potential to be applied in hospitals and research labs.
Researchers have created PicoShells, microscopic particles that can speed up the growth and analysis of microorganisms, including algae. This new tool enables faster identification of cell strains suitable for mass production, potentially shortening R&D timelines by months.
A study has developed a method using dark-field microscopy and deep learning algorithms to identify microplastics in human cells, achieving an accuracy of 93% for 1-micron polystyrene particles. The technique has the potential to screen microplastics in various samples, reducing time-consuming data acquisition and processing steps.
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Researchers developed a non-toxic, small-molecule probe that provides real-time visualization of disease progression, overcoming limitations of MRI and PET imaging. The probe binds copper ions and detects dysregulated levels, accurately identifying Wilson's disease and other maladies.
Scientists discovered a new mitochondrial recycling pathway that may help prevent Parkinson's disease. The study, published in Science Advances, reveals that genes associated with Parkinson's disease play key roles in this process and that disruptions can contribute to neurodegeneration.
A new imaging technique developed by the Skala Lab can predict the efficiency of cardiomyocyte differentiation from human pluripotent stem cells, providing a non-invasive quality control method. The technique uses autofluorescence to measure metabolic activity and has been shown to be accurate in predicting outcome with high consistency.
Researchers have developed a new method called Raman holography, which uses surface-enhanced Raman scattering to image and analyze single particles in three dimensions. This technology has the potential to revolutionize fields such as live cell imaging and anti-counterfeiting.
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CAS researchers have developed a new monomer fluorescent protein, Skylan-NS, enabling substantial improvements in the speed, duration, and noninvasiveness of live-cell superresolution microscopy. The protein shows high photostability, cycle numbers and signal-to-noise ratio, making it suitable for live-cell SR imaging.
The ASCB's Celldance Studios released three new award videos featuring eye-popping live cell imaging, showcasing cancer research breakthroughs and the dynamic cell membrane. The videos capture moments of metastasizing cancer cells breaking through blood vessel walls and the exploration of churning lipids and proteins on the cell surface.
Scientists at ITbM developed a new fluorescent dye, C-Naphox, with enhanced photostability to enable continuous live cell imaging by STED microscopy. The dye has demonstrated extreme photoresistance and no significant toxicity towards cells, opening doors to real-time biological event observation for extended periods.
Researchers develop fluoromodules, dye-protein complexes that provide alternatives to GFP with a wider selection of colors and increased photostability. This technology enables real-time monitoring of biological activities in living cells.
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New live cell imaging techniques allow researchers to visualize dynamic changes in living cells, providing insights into biological processes. The application of computational image processing is also crucial for extracting meaningful data from this type of imaging.
The Rong Li Lab has achieved a quantitative measurement of protein-protein interactions in the MAP kinase cascade, a critical pathway for growth and differentiation decisions in eukaryotic cells. This discovery was made possible by advanced biophysical techniques applied to live yeast cells.