Lifeboat Foundation

Hey folks, I’m excited to share a new essay with y’all on my proposed route towards nanoscale human brain connectomics. I suggest that synchrotron ‘expansion x-ray microscopy’ has the potential to enable anatomical imaging of the entire human brain with sub-100 nm voxel size and high contrast in around 1 year for a price of roughly $10M. I plan to continue improving this essay over time as I acquire more detailed information and perform more calculations.

For a brief history of this concept: I started exploring this idea during undergrad (working with a laboratory-scale x-ray microscope), but was cut short by the pandemic. Now, I’m working on a PhD in biomedical engineering centered on gene therapy and synthetic biology, but I have retained a strong interest in connectomics. I recently began communication with some excellent collaborators who might be able to help move this technology forward. Hoping for some exciting progress!

By Logan Thrasher Collins.

Continue reading “Feasibility of mapping the human brain with expansion x-ray microscopy” »

Scientists at the University of Massachusetts Amherst recently announced the invention of a nanowire, 10,000 times thinner than a human hair, which can be cheaply grown by common bacteria and can be tuned to “smell” a vast array of chemical tracers—including those given off by people afflicted with different medical conditions, such as asthma and kidney disease.

Thousands of these specially tuned wires, each sniffing out a different chemical, can be layered onto tiny, wearable sensors, allowing health-care providers an unprecedented tool for monitoring potential health complications. Since these wires are grown by bacteria, they are organic, biodegradable and far greener than any inorganic nanowire.

To make these breakthroughs, which were detailed in the journal Biosensors and Bioelectrics, senior authors Derek Lovley, Distinguished Professor of Microbiology at UMass Amherst, and Jun Yao, professor of electrical and computer engineering in the College of Engineering at UMass Amherst, needed to look no farther than their own noses.

Researchers have developed a proof of concept technology that could pave the way for next-generation displays beyond current LCDs and LEDs, enabling screens and electronic devices to become thinner, offer higher resolution and be much more energy efficient.

A team at Nottingham Trent University, the Australian National University and the University of New South Wales Canberra in Australia has engineered electrically tunable arrays of nanoparticles called “metasurfaces,” which can offer significant benefits over current liquid crystal displays.

Today’s display market offers a large range of choices, each with its pros and cons. However factors including production costs, lifespan and energy consumption have kept liquid crystal technology the most dominant and popular technology for screens such as TV sets and monitors.

In a new study, researchers at the Indian Institute of Science (IISc) show how a brain-inspired image sensor can go beyond the diffraction limit of light to detect miniscule objects such as cellular components or nanoparticles invisible to current microscopes. Their novel technique, which combines optical microscopy with a neuromorphic camera and machine learning algorithms, presents a major step forward in pinpointing objects smaller than 50 nanometers in size. The results are published in Nature Nanotechnology.

Since the invention of optical microscopes, scientists have strived to surpass a barrier called the diffraction limit, which means that the microscope cannot distinguish between two objects if they are smaller than a certain size (typically 200–300 nanometers).

Their efforts have largely focused on either modifying the molecules being imaged, or developing better illumination strategies—some of which led to the 2014 Nobel Prize in Chemistry. “But very few have actually tried to use the detector itself to try and surpass this detection limit,” says Deepak Nair, Associate Professor at the Center for Neuroscience (CNS), IISc, and corresponding author of the study.

A research team from LKS Faculty of Medicine, the University of Hong Kong (HKUMed) has developed thyroid hormone (TH)–encapsulated nanoparticles modified with an adipose-homing peptide, which selectively transports TH to adipose tissues. This will advance the treatment of obesity-related medical complications with TH by overcoming the severe adverse effects caused by systemic administration. The new findings are now published in Nature Communications.

Obesity is a major risk factor for multiple life-threatening chronic diseases such as diabetes and cardiovascular and neurodegenerative disorders. TH is an ancient hormone with therapeutic potential for obesity and its related medical complications by promoting energy expenditure. However, despite enormous research efforts in the past decades, clinical trials have failed to demonstrate obvious clinical benefits of chronic systemic administration of TH on weight loss in obese individuals.

Furthermore, due to widespread expression of TH receptors, systemic administration of TH often leads to serious deleterious effects on multiple organs, including tachycardia, heart attack, muscle wasting, and osteoporosis. Skeletal muscle and adipose tissues are thought to be the two major target organs where TH exerts its stimulatory actions on metabolic rate and energy expenditure. However, whether selective delivery of TH to adipose tissues is sufficient to induce weight loss remains unclear.

Professor Juhyuk Lee of the Department of Energy Engineering has developed an elastic triboelectric generator that can be used in the daily lives of frequent movers. The cause of the output reduction of the elastic triboelectric sensor was identified during joint research with Professor Joohun Lee of Hanyang University’s (ERICA campus) Department of Bio-Nanotechnology. Additionally, the professor used graphene to develop a touch sensor with stable output and expand the application of the triboelectric generator. The study is published in the journal Nano Energy.

Along with the rapid growth of various biosensors and wearable devices due to the continuous development of semiconductors and small electronic components, there has been a growing interest in triboelectric generators for use as sensors or energy sources. To use the triboelectric generator in a wearable device, the material that comes into contact with the body must be safe, and the output must be constant despite any deformations caused by movement.

However, the output of conventional elastic triboelectric generators is affected by its change in form. The reason for this relationship was not clearly understood. Similar to previously existing products, there are limitations to precise detection if the output changes along with the change in form, such as stretching.

A fuel cell is an electric power generator that is capable of producing electricity from hydrogen gas while discharging only water as a waste product. It is hoped that this highly efficient clean energy system will play a key role in the adoption of the hydrogen economy, replacing the combustion engines and batteries in automobiles and trucks, as well as power plants.

However, the cost of platinum, which can be up to ~30,000 USD per kg, has been a major limitation, making fuel cell catalysts prohibitively expensive. The production methods of highly-performing catalysts have also been complicated and largely limited. Accordingly, the development of a facile and scalable production method for platinum-based fuel cell catalysts is an urgent challenge, together with enhancing catalytic performance and stability while using a minimum amount of platinum.

To tackle this issue, a research team led by Prof. Sung Yung-Eun and Prof. Hyeon Taeghwan at the Center for Nanoparticle Research (CNR) within the Institute for Basic Science (IBS), South Korea has discovered a novel method for the production of nanocatalysts.

Putting that soda bottle or takeout container into the recycling bin is far from a guarantee it will be turned into something new. Scientists at Rice University are trying to address this problem by making the process profitable.

The amount of plastic waste produced globally has doubled over the past two decades—and plastic production is expected to triple by 2050—with most of it ending up in landfills, incinerated or otherwise mismanaged, according to the Organization for Economic Cooperation and Development. Some estimates suggest only 5% is actually being recycled.

“Waste plastic is rarely recycled because it costs a lot of money to do all the washing, sorting and melting down of the plastics to turn it into a material that can be used by a factory,” said Kevin Wyss, a Rice graduate student and lead author on a study published in Advanced Materials that describes how he and colleagues in the lab of chemist James Tour used their flash Joule heating technique to turn plastic into valuable carbon nanotubes and hybrid nanomaterials.

A research team led by Dr. Yong-hun Kim and Dr. Jeong-Dae Kwon has successfully developed the world’s first neuromorphic semiconductor device with high-density and high-reliability by developing a thin film of lithium-ion battery materials. They achieved this by producing ultra-thin lithium ions, a key material of lithium-ion batteries that have been in the spotlight recently, and combining it with two-dimensional nano-materials. The research team is from the Surface & Nano Materials Division at the Korea Institute of Materials Science (KIMS).

A neuromorphic semiconductor device has synapses and neurons similar to the human brain, which processes and memorizes information. The synaptic device receives signals from neurons and modulates the synaptic weight (connection strength) in various ways to simultaneously process and store information. In particular, the linearity and symmetry of synaptic weights enables various pattern recognition with low power.

Traditional methods for controlling synaptic weights use charge traps between interfaces of heterogeneous materials or oxygen ions. In this case, however, it is difficult to control the movement of ions in the desired direction according to the external electric field. The researchers solved this problem with an artificial intelligence semiconductor device with high density by developing a thin film process while maintaining the mobility of lithium ions according to the external electric field. The thin film—with a thickness of several tens of nanometers—enables fine pattern processing while controlling the thickness of the wafer scale.