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Category: biotech/medical – Page 77

Understanding the cellular composition of tissues is key for interpreting neural disease origin, progression and more. This whitepaper explores a method to aid this.

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To interpret neural disease origin, progression, prognosis and treatment options, it is essential to understand the cellular and spatial composition of neural tissues.

Imaging mass cytometry (IMC) overcomes the limitations of traditional cyclic fluorescent methods to uncover the spatial distribution of over 40 distinct protein markers simultaneously, without interference from the tissue degradation and autofluorescence artifacts usually found in brain tissue.

Continue reading “Reveal Spatial Biomarkers With Multiplexed Imaging Mass Cytometry” | >

Site-selective immobilization of different bioreceptors on individual field-effect transistors, achieved through the use of thermal scanning probe lithography. Each bioreceptor can be tuned to detect a different disease.

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Researchers have successfully stabilized ferrocene molecules on a flat substrate for the first time, enabling the creation of an electronically controllable sliding molecular machine.

Artificial molecular machines, composed of only a few molecules, hold transformative potential across diverse fields, including catalysis, molecular electronics, medicine, and quantum materials. These nanoscale devices function by converting external stimuli, such as electrical signals, into controlled mechanical motion at the molecular level.

Ferrocene—a unique drum-shaped molecule featuring an iron (Fe) atom sandwiched between two five-membered carbon rings—is a standout candidate for molecular machinery. Its discovery, which earned the Nobel Prize in Chemistry in 1973, has positioned it as a foundational molecule in this area of study.

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Simulations deliver hints on how the multiverse produced according to the many-worlds interpretation of quantum mechanics might be compatible with our stable, classical Universe.

We understand quantum mechanics well enough to make stunningly accurate predictions, ranging from atomic spectra to the structure of neutron stars, and to successfully exploit these predictions in devices such as lasers, MRI machines, and tunneling microscopes. Yet there is no generally accepted explanation of how the solid reality of such devices—or of objects such as cats, moons, and people—arise from a nebulous quantum wave in an abstract mathematical space. Some physicists prefer to ignore the problem, suggesting that we should just “shut up and calculate!” Others seek answers by modifying quantum theory in various ways or by searching for ways to explain how stable structures can emerge from quantum theory itself.

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Researchers at the CUNY Graduate Center have made a groundbreaking discovery in Alzheimer’s disease research, identifying a critical link between cellular stress in the brain and disease progression.

Their study focuses on microglia, the brain’s immune cells, which play dual roles in either protecting or harming brain health. By targeting harmful microglia through specific pathways, this research opens new avenues for potentially reversing Alzheimer’s symptoms and providing hope for effective treatments.

Key cellular mechanism driving alzheimer’s disease identified.

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The study authors successfully developed quantum-grade bright fluorescent nanodiamonds. Now in order to use them for quantum sensing or bioimaging, one is required to study their spin states using optically detected magnetic resonance (ODMR).

ODMR is a method that combines light and microwaves to examine magnetic fields. Scientists first shine a light on materials like nanodiamonds and then apply microwaves, to see how the material reacts. By studying this interaction, they can detect tiny magnetic signals and understand the material’s magnetic properties such as spin.

To test the capabilities of their nanodiamonds, they introduced them into HeLa cells (human cells widely used by scientists for lab research experiments) and then employed ODMR to examine the spin. The NDs successfully detected slight temperature changes, which are nearly impossible to detect with existing technologies.

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