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Category: nanotechnology – Page 46

Synthetic Genes Engineered to Mimic how Cells Build Tissues and Structures

Advance paves the way for broad applications in medicine and biotech. Researchers from the UCLA Samueli School of Engineering and the University of Rome Tor Vergata in Italy have developed synthetic genes that function like the genes in living cells.

The artificial genes can build intracellular structures through a cascading sequence that builds self-assembling structures piece by piece. The approach is similar to building furniture with modular units, much like those found at IKEA. Using the same parts, one can build many different things and it’s easy to take the set apart and reconstruct the parts for something else. The discovery offers a path toward using a suite of simple building blocks that can be programmed to make complex biomolecular materials, such as nanoscale tubes from DNA tiles. The same components can also be programmed to break up the design for different materials.

The research study was recently published in Nature Communications and led by Elisa Franco, a professor of mechanical and aerospace engineering and bioengineering at UCLA Samueli. Daniela Sorrentino, a postdoctoral scholar in Franco’s Dynamic Nucleic Acid Systems lab, is the study’s first author.

Comparative prospects of imaging methods for whole-brain mammalian connectomics

Neuroscience aficionados may enjoy my preprint that compares leading imaging technologies for whole-brain mammalian connectomics, now with major updates/improvements: Link: arxiv.org/abs/2405.

Mammalian whole-brain connectomes at nanoscale synaptic resolution are a crucial ingredient for holistic understanding of brain function. Imaging these connectomes at sufficient resolution to densely reconstruct cellular morphology and synapses represents a longstanding goal in neuroscience. Although the technologies needed to reconstruct whole-brain connectomes have not yet reached full maturity, they are advancing rapidly enough that the mouse brain might be within reach in the near future. Detailed exploration of these technologies is warranted to help plan projects with varying goals and requirements. Whole-brain human connectomes remain a more distant goal yet are worthy of consideration to orient large-scale neuroscience program plans. Here, we quantitatively compare existing and emerging imaging technologies that have potential to enable whole-brain mammalian connectomics.

Ion Superhighways: The Nanotech Breakthrough Powering Tomorrow’s Tech

Researchers have significantly accelerated ion movement using nanotechnology, potentially improving technologies from battery charging to biosensing.

This breakthrough at Washington State University and Lawrence Berkeley National Laboratory involves creating a nanochannel lined with molecules that attract ions, allowing them to move over ten times faster than before. This development could revolutionize energy storage and help detect environmental pollutants or neurological activities.

Breaking Speed Records With Nanoscience

Physicists develop new method to visualize magnetic nanostructures with high resolution

A new method enables researchers to analyze magnetic nanostructures with a high resolution. It was developed by researchers at Martin Luther University Halle-Wittenberg (MLU) and the Max Planck Institute of Microstructure Physics in Halle.

The new method achieves a resolution of around 70 nanometers, whereas normal light microscopes have a resolution of just 500 nanometers. This result is important for the development of new, energy-efficient storage technologies based on spin electronics. The team reports on its research in the current issue of the journal ACS Nano.

Normal optical microscopes are limited by the wavelength of light and details below around 500 nanometers cannot be resolved. The new method overcomes this limit by utilizing the anomalous Nernst effect (ANE) and a metallic nano-scale tip. ANE generates an electrical voltage in a magnetic metal that is perpendicular to the magnetization and a .

Ultra-compact optical design enhances virtual and augmented reality device cameras

Researchers from Seoul National University College of Engineering announced they have developed an optical design technology that dramatically reduces the volume of cameras with a folded lens system utilizing “metasurfaces,” a next-generation nano-optical device.

By arranging metasurfaces on the so that light can be reflected and moved around in the glass substrate in a folded manner, the researchers have realized a with a thickness of 0.7mm, which is much thinner than existing refractive lens systems. The research was published on Oct. 30 in the journal Science Advances.

Traditional cameras are designed to stack multiple glass lenses to refract light when capturing images. While this structure provided excellent high-quality images, the thickness of each lens and the wide spacing between lenses increased the overall bulk of the camera, making it difficult to apply to devices that require ultra-compact cameras, such as virtual and augmented reality (VR-AR) devices, smartphones, endoscopes, drones, and more.

Local actuation of organoids by magnetic nanoparticles

Tissues take shape during development through a series of morphogenetic movements guided by local cell-scale forces. While current in vitro approaches subjecting tissues to homogenous stresses, it is currently no possible to recapitulate highly local spatially varying forces. Here we develop a method for local actuation of organoids using embedded magnetic nanoparticles. Sequential aggregation of magnetically labelled human pluripotent stem cells followed by actuation by a magnetic field produces localized magnetic clusters within the organoid. These clusters impose local mechanical forces on the surrounding tissue in response to applied global magnetic fields. We show that precise, spatially defined actuation provides short-term mechanical tissue perturbations as well as long-term cytoskeleton remodeling. We demonstrate that local magnetically-driven actuation guides asymmetric growth and proliferation, leading to enhanced patterning in human neural organoids. We show that this approach is applicable to other model systems by observing polarized patterning in paraxial mesoderm organoids upon local magnetic actuation. This versatile approach allows for local, controllable mechanical actuation in multicellular constructs, and is widely applicable to interrogate the role of local mechanotransduction in developmental and disease model systems.

The authors have declared no competing interest.

Nanorobots move closer to clinical trials with new model that helps them navigate through the bloodstream

From repairing deadly brain bleeds to tackling tumors with precise chemotherapy, micro/nano-robots (MNRs) are a promising, up-and-coming tool that have the power to substantially advance health care. However, this tool still has difficulty navigating within the human body—a limitation that has prevented it from entering clinical trials.

Mathematical models are crucial to the optimal design and navigation of MNRs, but the are inadequate. Now, new, promising research from the University of Saskatchewan (USask) may allow MNRs to overcome the limitations that previously prevented their widespread use.

USask College of Engineering professor Dr. Chris Zhang (Ph. D.) and two Ph.D. students (Lujia Ding, N.N Hu) along with two USask alumni (Dr. Bing Zhang (Ph. D.), Dr. R. Y. Yin (Ph. D.)) are the first team to develop a highly accurate mathematical model that optimizes the design of MNRs which improves their navigation, allowing them to travel efficiently through the bloodstream. Their work was recently published in Nature Communications.

Electron imaging reveals the vibrant colors of the outermost electron layer

Surfaces play a key role in numerous chemical reactions, including catalysis and corrosion. Understanding the atomic structure of the surface of a functional material is essential for both engineers and chemists. Researchers at Nagoya University in Japan used atomic-resolution secondary electron (SE) imaging to capture the atomic structure of the very top layer of materials to better understand the differences from its lower layers. The researchers published their findings in the journal Microscopy.

Some materials exhibit “surface reconstruction,” where the surface atoms are organized differently from the interior atoms. To observe this, especially at the atomic level, surface-sensitive techniques are needed.

Traditionally, scanning (SEM) has been an effective tool to examine nanoscale structures. SEM works by scanning a sample with a focused electron beam and capturing the SEs emitted from the surface. SEs are typically emitted from a below the surface, making it difficult to observe phenomena like surface reconstruction, especially if only a single atomic layer is involved.