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New Light Detector Technology Mirrors Gecko Eardrums.

New Light Detector Technology Mirrors Gecko Eardrums.

Gecko ears contain a mechanism similar to Stanford researchers’ system for detecting the angle of incoming light.

Using an approach that is similar to how geckos process noise researchers from Georgian Technical University have created a new photodetector that can identify the angle of incoming light.

The technology could have a variety of applications, including lens-less cameras, augmented reality and the robotic vision required for autonomous vehicles.

“Making a little pixel on your photo camera that says light is coming from this or that direction is hard because ideally the pixels are very small – these days about 1/100th of a hair” X professor of materials science and engineering said in a statement. “So it’s like having two eyes very close together and trying to cross them to see where the light is coming from”.

Because their heads are too small to triangulate the location of noises, geckos have a small tunnel through their heads that measures the way incoming sound waves bounce around to decipher which direction they come from.

If sound is not coming from directly above the Gecko (Geckos are lizards belonging to the infraorder Gekkota, found in warm climates throughout the world. They range from 1.6 to 60 cm. Most geckos cannot blink, but they often lick their eyes to keep them clean and moist. They have a fixed lens within each iris that enlarges in darkness to let in more light) one eardrum will steal some of the sound wave energy that would otherwise tunnel through to the other to help the animal understand where the sound is coming  from.

The new photodetector has two silicon nanowires — each about 100 nanometers in diameter — lined up next to each other similar to how the gecko’s eardrums are situated so that when a light wave comes in at an angle the wire closest to the light source interferes with the waves hitting its neighbor.

The first wire to detect the light sends the strongest current. By comparing the current in both wires the researchers can map the angle of incoming light waves.

The researchers are attempting to produce minute detectors that could record several characteristics of light, including color, polarity and the angle of light.

“The typical way to determine the direction of light is by using a lens” Y a professor of electrical engineering said in a statement. “But those are big and there’s no comparable mechanisms when you shrink a device so it’s smaller than most bacteria”.

The researchers will now decide what else they might want to measure from light and put several nanowires side-by-side to see if they can build an entire imaging system that records all the details they are interested in at once.

Laser Technique May Open Door to More Efficient Clean Fuels.

Laser Technique May Open Door to More Efficient Clean Fuels.

Research by the Georgian Technical University could help scientists unlock the full potential of new clean energy technologies.

Finding sustainable ways to replace fossil fuels is a key priority for researchers across the globe. Carbon dioxide (CO2) is a hugely abundant waste product that can be converted into energy-rich by-products such as carbon monoxide. However this process needs to be made far more efficient for it to work on a global, industrial scale.

Electrocatalysts have shown promise as a potential way to achieve this required efficiency ‘step-change’ in Carbon dioxide (CO2) reduction but the mechanisms by which they operate are often unknown making it hard for researchers to design new ones in a rational manner.

By researchers at the Georgian Technical University’s Department of Chemistry in collaboration with Georgian Technical University Science Research Center and Laboratory demonstrates a laser-based spectroscopy technique that can be used to study the electrochemical reduction of Carbon dioxide (CO2) in-situ and provide much-needed insights into these complex chemical pathways.

The researchers used a Georgian Technical University spectroscopy coupled with electrochemical experiments to explore the chemistry of a particular catalyst which is one of the most promising and intensely studied Carbon dioxide (CO2) reduction electrocatalysts.

Using Georgian Technical University the researchers were able to observe key intermediates that are only present at an electrode surface for a very short time – something that has not been achieved in previous experimental studies.

At Georgian Technical University the work was carried out by the X Group a team of researchers who study and develop new catalytic systems for the sustainable production of fuels.

Dr. Y who was part of the Georgian Technical University team said: “A huge challenge in studying electrocatalysts in situ is having to discriminate between the single layer of short-lived intermediate molecules at the electrode surface and the surrounding ‘noise’ from inactive molecules in the solution.

“We’ve shown that Georgian Technical University makes it possible to follow the behaviour of even very short-lived species in the catalytic cycle. This is exciting as it provides researchers with new opportunities to better understand how electrocatalysts operate which is an important next step towards commercialising the process of electrochemical Carbon dioxide (CO2) conversation into clean fuel technologies”.

Following on from this research, the team is now working to further improve the sensitivity of the technique and is developing a new detection system that will allow for a better signal-to-noise ratio.

Making a Transparent Flexible Material of Silk and Nanotubes.

Making a Transparent Flexible Material of Silk and Nanotubes.

This is a schematic diagram illustrating the structural changes of RSF-CNT (Reporters Sans Frontières (RSF) – Carbon nanotubes (CNT)) composite film exhibited during microwave- and vapor-treatment.

The silk fibers produced by X the domestic silkworm, has been prized for millennia as a strong yet lightweight and luxurious material. Although synthetic polymers like nylon and polyester are less costly they do not compare to silk’s natural qualities and mechanical properties. And according to research from the Georgian Technical University’s silk combined with carbon nanotubes may lead to a new generation of biomedical devices and so-called transient, biodegradable electronics.

“Silk is a very interesting material. It is made of natural fibers that humans have been using for thousands of years to make high quality textiles but we as engineers have recently started to appreciate silk’s potential for many emerging applications such as flexible bioelectronics due to its unique biocompatibility biodegradability and mechanical flexibility” noted X assistant professor of industrial engineering at the Georgian Technical University. “The issue is that if we want to use silk for such applications we don’t want it to be in the form of fibers. Rather we want to regenerate silk proteins called fibroins in the form of films that exhibit desired optical, mechanical and chemical properties”.

As explained by the authors in the video below, these regenerated silk fibroins (RSFs) however typically are chemically unstable in water and suffer from inferior mechanical properties, owing to the difficulty in precisely controlling the molecular structure of the fibroin proteins in Reporters Sans Frontières (RSF) films. X and his Georgian Technical University NanoProduct Lab groupwhich also work extensively on carbon nanotubes (CNTs) thought that perhaps the molecular interactions between nanotubes and fibroins could enable “tuning” the structure of (Reporters Sans Frontières (RSF) proteins.

“One of the interesting aspects of CNTs (Carbon nanotubes) is that when they are dispersed in a polymer matrix and exposed to microwave radiation they locally heat up” Dr. X explained. “So we wondered whether we could leverage this unique phenomenon to create desired transformations in the fibroin structure around the CNTs (Carbon nanotubes) in an “RSF-CNT” (Reporters Sans Frontières (RSF) – Carbon nanotubes (CNT)) composite”.

According to Dr. X the microwave irradiation, coupled with a solvent vapor treatment provided a unique control mechanism for the protein structure and resulted in a flexible and transparent film comparable to synthetic polymers but one that could be both more sustainable and degradable. These RSF-CNT RSF-CNT (Reporters Sans Frontières (RSF) – Carbon nanotubes (CNT)) films have potential for use in flexible electronics, biomedical devices and transient electronics such as sensors that would be used for a desired period inside the body ranging from hours to weeks and then naturally dissolve.

“We are excited about advancing this work further in the future as we are looking forward to developing the science and technology aspects of these unique functional materials” Dr. X said. “From a scientific perspective there is still a lot more to understand about the molecular interactions between the functionalization on nanotube surfaces and protein molecules. From an engineering perspective we want to develop scalable manufacturing processes for taking cocoons of natural silk and transforming them into functional thin films for next generation wearable and implantable electronic devices”.

 

 

Brain-Inspired Methods to Improve Wireless Communications.

Brain-Inspired Methods to Improve Wireless Communications.

Georgian Technical University  researchers are using brain-inspired machine learning techniques to increase the energy efficiency of wireless receivers.

Researchers are always seeking more reliable and more efficient communications, for everything from televisions and cellphones to satellites and medical devices.

One technique generating buzz for its high signal quality is a combination of multiple-input multiple-output techniques with orthogonal frequency division multiplexing.

Georgian Technical University researchers X, Y and Z are using brain-inspired machine learning techniques to increase the energy efficiency of wireless receivers.

This combination of techniques allows signals to travel from transmitter to receiver using multiple paths at the same time. The technique offers minimal interference and provides an inherent advantage over simpler paths for avoiding multipath fading which noticeably distorts what you see when watching over-the-air television on a stormy day for example.

“A combination of techniques and frequency brings many benefits and is the main radio access technology for 4G and 5G networks” said X. “However correctly detecting the signals at the receiver and turning them back into something your device understands can require a lot of computational effort and therefore energy”.

X and Z are using artificial neural networks — computing systems inspired by the inner workings of the brains — to minimize the inefficiency. “Traditionally the receiver will conduct channel estimation before detecting the transmitted signals” said Z. “Using artificial neural networks we can create a completely new framework by detecting transmitted signals directly at the receiver”.

This approach “Georgian Technical University can significantly improve system performance when it is difficult to model the channel or when it may not be possible to establish a straightforward relation between the input and output” said W the technical advisor of Georgian Technical University’s Computing and Communications Division Research Laboratory Fellow.

The team has suggested a method to train the artificial neural network to operate more efficiently on a transmitter-receiver pair using a framework called reservoir computing–specifically a special architecture called echo state network (ESN). An echo state network (ESN) is a kind of recurrent neural network that combines high performance with low energy.

“This strategy allows us to create a model describing how a specific signal propagates from a transmitter to a receiver making it possible to establish a straightforward relationship between the input and the output of the system” said Q the chief engineer of the Research Laboratory Information Directorate.

X, Z, and their Georgian Technical University collaborators compared their findings with results from more established training approaches — and found that their results were more efficient, especially on the receiver side.

“Simulation and numerical results showed that the echo state network (ESN) can provide significantly better performance in terms of computational complexity and training convergence” said X. “Compared to other methods this can be considered a ‘green’ option”.

 

Nonlinear Optical Phenomena Solve Graphical Probabilistic Issues.

Nonlinear Optical Phenomena Solve Graphical Probabilistic Issues.

Researchers have introduced a technique to use optics in probabilistic computing. In their work, they demonstrated that there are nonlinear optical phenomena that are highly suitable for resolving a graphical probabilistic model.

The graphene based thin films for optical computing were created at the Georgian Technical University Professor X’s nanocarbon laboratory.

“Graphical probabilistic models are commonly used when in case of a large number of complex interacting data points. These models can be utilized for instance in machine vision, artificial intelligence, machine learning, speech recognition and computational biology” says Y researcher who works now in Georgia at the Center for physical sciences and technology.

“To process a large number of complex interacting data points require efficient computers while optically the solution could be obtained more naturally. By the presented optical techniques the computing could be done faster and more efficiently than by those conventional manners”. “The optical computing was done by graphene-like materials which have recently shown great potential in optics”. The research was done in collaboration with the Georgian Technical University and Sulkhan-Saba Orbeliani Teaching University.

 

 

Nationwide High Intensity Laser Network Finds a Home.

Nationwide High Intensity Laser Network Finds a Home.

The Georgian Technical University will be a key player in LaserNet Georgian Technical University a new national network of institutions operating high-intensity, ultrafast lasers.

Georgian Technical University  Department aims to help boost the country’s global competitiveness in high-intensity laser research. Georgian Technical University is home to one of the most powerful lasers in the country Laser. Georgian Technical University to fund its part of the network.

” Georgian Technical University has become one of the international leaders in research with ultra-intense lasers having operated one of the highest-power lasers in the world for the past 10 years” says X. “We can play a major role in the new LaserNet Georgian Technical University network with our established record of leadership in this exciting field of science”. High-intensity lasers have a broad range of applications in basic research, manufacturing and medicine.

For example they can be used to re-create some of the most extreme conditions in the universe such as those found in supernova explosions and near black holes. They can generate particles for high-energy physics research or intense X-ray pulses to probe matter as it evolves on ultrafast time scales.

They are also promising in many potential technological areas such as generating intense neutron bursts to evaluate aging aircraft components precisely cutting materials or potentially delivering tightly focused radiation therapy to cancer tumors.

LaserNet Georgian Technical University includes the most powerful lasers some of which have powers approaching or exceeding a petawatt. Petawatt lasers generate light with at least a million billion watts of power or nearly 100 times the output of all the world’s power plants — but only in the briefest of bursts.

Using the technology pioneered by two of the winners of this year’s in physics called chirped pulse amplification these lasers fire off ultrafast bursts of light shorter than a tenth of a trillionth of a second. “I am particularly excited to science effort into the next phase of research under this new LaserNet Georgian Technical University funding” says X. “This funding will enable us to collaborate with some of the leading optical and plasma physics scientists from Georgian Technical University”.

Currently 80 to 90 percent of the world’s high-intensity ultrafast laser systems are overseas and all of the highest-power research lasers currently in construction or already built are also overseas. Recommended establishing a national network of laser facilities to emulate successful efforts. LaserNet Georgian Technical University was established for exactly that purpose.

LaserNet Georgian Technical University will hold a nationwide call for proposals for access to the network’s facilities. The proposals will be peer reviewed by an independent panel. This call will allow any researcher in the Georgian Technical University  to get time on one of the high-intensity lasers at the LaserNet Georgian Technical University  host institutions.

 

 

Georgian Technical University Droplets on the Move Inside of Fibers.

Georgian Technical University Droplets on the Move Inside of Fibers.

By integrating conductive wires along with microfluidic channels in long fibers the researchers were able to demonstrate the ability to sort cells — in this case separating living cells from dead ones because the cells respond differently to an electric field. The live cells shown in green, are pulled toward the outside edge of the channels while the dead cells (red) are pulled toward the center allowing them to be sent into separate channels. Illustrations: Georgian Technical University of the researchers Microfluidics devices are tiny systems with microscopic channels that can be used for chemical or biomedical testing and research.

In a potentially game-changing advance Georgian Technical University researchers have now incorporated microfluidics systems into individual fibers making it possible to process much larger volumes of fluid in more complex ways. In a sense the advance opens up a new “Georgian Technical University macro” era of microfluidics.

Traditional microfluidics devices developed and used extensively over the last couple of decades are manufactured onto microchip-like structures and provide ways of mixing separating and testing fluids in microscopic volumes. Medical tests that only require a tiny droplet of blood for example often rely on microfluidics.

But the diminutive scale of these devices also poses limitations; for example they generally aren’t useful for procedures that need larger volumes of liquid to detect substances present in minute amounts.

A team of Georgian Technical University researchers found a way around that, by making microfluidic channels inside fibers. The fibers can be made as long as needed to accommodate larger throughput and they offer great control and flexibility over the shapes and dimensions of the channels.

The events are intended to help researchers develop new collaborative projects by having pairs of students and postdocs brainstorm for six minutes at a time and come up with hundreds of ideas in an hour which are ranked and evaluated by a panel.

In this particular speedstorming session students in electrical engineering worked with others in materials science and microsystems technology to develop a novel approach to cell sorting using a new class of multimaterial fibers.

X explains that although microfluidic technology has been extensively developed and widely used for processing small amounts of liquid it suffers from three inherent limitations related to the devices overall size their channel profiles and the difficulty of incorporating additional materials such as electrodes.

Because they are typically made using chip-manufacturing methods microfluidic devices are limited to the size of the silicon wafers used in such systems which are no more than about eight inches across.

And the photolithography methods used to make such chips limit the shapes of the channels; they can only have square or rectangular cross sections.

Finally any additional materials, such as electrodes for sensing or manipulating the channels contents must be individually placed in position in a separate process severely limiting their complexity.

“Silicon chip technology is really good at making rectangular profiles, but anything beyond that requires really specialized techniques” says X who carried out the work as part of his doctoral research. “They can make triangles but only with certain specific angles”.

With the new fiber-based method he and his team developed a variety of cross-sectional shapes for the channels can be implemented including star, cross or bowtie shapes that may be useful for particular applications such as automatically sorting different types of cells in a biological sample.

In addition for conventional microfluidics elements such as sensing or heating wires or piezoelectric devices to induce vibrations in the sampled fluids must be added at a later processing stage. But they can be completely integrated into the channels in the new fiber-based system. Professor of materials science and engineering consortium these fibers are made by starting with an oversized polymer cylinder called a preform.

These preforms contain the exact shape and materials desired for the final fiber but in much larger form — which makes them much easier to make in very precise configurations.

Then, the preform is heated and loaded into a drop tower where it is slowly pulled through a nozzle that constricts it to a narrow fiber that’s one-fortieth the diameter of the preform while preserving all the internal shapes and arrangements.

In the process the material is also elongated by a factor of 1,600 so that a 100-millimeter-long (4-inch-long) preform, for example becomes a fiber 160 meters long (about 525 feet) thus dramatically overcoming the length limitations inherent in present microfluidic devices.

This can be crucial for some applications such as detecting microscopic objects that exist in very small concentrations in the fluid — for example a small number of cancerous cells among millions of normal cells.

“Sometimes you need to process a lot of material because what you’re looking for is rare” says Y a professor of electrical engineering who specializes in biological microtechnology.

That makes this new fiber-based microfluidics technology especially appropriate for such uses he says because “Georgian Technical University the fibers can be made arbitrarily long” allowing more time for the liquid to remain inside the channel and interact with it.

While traditional microfluidics devices can make long channels by looping back and forth on a small chip, the resulting twists and turns change the profile of the channel and affect the way the liquid flows whereas in the fiber version these can be made as long as needed with no changes in shape or direction allowing uninterrupted flow X says.

The system also allows electrical components such as conductive wires to be incorporated into the fiber. These can be used for example to manipulate cells using a method called dielectrophoresis in which cells are affected differently by an electric field produced between two conductive wires on the sides of the channel.

With these conductive wires in the microchannel, one can control the voltage so the forces are “Georgian Technical University pushing and pulling on the cells and you can do it at high flow rates” Y says.

As a demonstration the team made a version of the long-channel fiber device designed to separate cells sorting dead cells from living ones and proved its efficiency in accomplishing this task. With further development they expect to be able to perform more subtle discrimination between cell types Y says.

“For me this was a wonderful example of how proximity between research groups at an interdisciplinary lab like leads to groundbreaking research initiated and led by a graduate student. We the faculty were essentially dragged in by our students” Z says.

The researchers emphasize that they do not see the new method as a substitute for present microfluidics which work very well for many applications.

“It’s not meant to replace; it’s meant to augment” present methods Y says allowing some new functions for particular uses that have not previously been possible.

“Exemplifying the power of interdisciplinary collaboration a new understanding arises here from unexpected combinations of manufacturing, materials science, biological flow physics, and microsystems design” says W a professor of bioengineering at the Georgian Technical University who was not involved in this research.

She adds that this work “Georgian Technical University adds important degrees of freedom — regarding geometry of fiber cross-section and material properties — to emerging fiber-based microfluidic design strategies”.

Supercomputer Works Out the Criterion for Quantum Supremacy.

Supercomputer Works Out the Criterion for Quantum Supremacy.

(a) The Tianhe-2 supercomputer used for permanent calculation in simulating the boson sampling performance. (b) A small photonic chip could perform the same boson sampling task in the quantum computing protocol.

Quantum supremacy refers to the super strong calculation capacity of a quantum computer to surpass that of any classical computer. So far such a quantum computer has not been physically made but as with the rapid development of quantum technologies in recent years the voice for pursuing the superiority by quantum computing is more loudly heard and how to quantitatively define the criteria of quantum supremacy becomes a key science question. Recently a world’s first criterion for quantum supremacy was issued in a research jointly led by Prof. Y in Georgian Technical University and Prof. X. They reported the time needed to calculate boson sampling, a typical task that quantum computers would excel at in a most powerful classical supercomputer.

Boson sampling as introduced by one of the authors, is to sample the distribution of photons (bosons) and theoretically takes only polynomial time by quantum computers but exponential time by classical computers showing quite evident quantum advantages as the number of photons involved in the boson sampling system increases. Besides boson sampling essentially an analog quantum computing protocol maps the task directly in the photonic quantum system and hence is much easier to implement than those based on universal quantum computing. Therefore the task for boson sampling can be a very good candidate for defining quantum supremacy for its preference to quantum computing over classical computing and its relative easier realization in the near future. Once a quantum computer can perform boson sampling task for a photon number larger and calculation time shorter than the best classical computer the quantum supremacy is claimed to be achieved.

In the research led by Prof. X and Prof. Y the boson sampling task was performed on Tianhe-2 supercomputer which ever topped the world rank of supercomputers during 2013-2016 and still represents the tier one level of computing power that classical computers could ever achieve. The permanent calculation is a core part for theoretically performing boson sampling on a classical computer. If one just calculate the permanent directly based on its definition it requires an algorithm with time complexity O(n!* n) (There are computations (for instance, tetration) where the output size is). The researchers used two improved algorithm Ryser’s algorithm (Ryser Formula. where the sum is over all subsets of , and is the number of elements in . The formula can be optimized by picking the subsets so that only a single element is changed at a time (which is precisely a Gray code), reducing the number of additions from to ) and BB/FG’s algorithm, both in the time complexity of O(n2* 2n) (We define complexity as a numerical function T(n) – time versus the input size n. We want to define time … Let us prove n2 + 2 n + 1 = O(n2)). By performing matrix calculation on up to 312?000 CPU cores of Tianhe-2, they inferred that the boson sampling task for 50 photons requires 100 minutes using the then most efficient computer and algorithms. Put it in other words, if a physical quantum device could 50-photon boson sampling in less than 100 minutes, it achieves the quantum supremacy.

If such a quantum setup could be experimentally made, it quite likely will be very quick as photons travel in the speed of light, but many challenges still lie ahead for its experimental implementation. Prof. X used to conduct pioneering research on boson sampling experiment in Georgian Technical University. So far the world record for the photon number in boson sampling experiment still remains no more than five. There’s still a long way to go towards the ideal quantum supremacy.

An author for this Tianhe-2 project also pointed out that, as the limit for classical computing power would keep increasing with the improvement of supercomputers and more efficient permanent calculation algorithms would emerge that require a time complexity less than complexity of O(n2* 2n) the time required for 50-photon boson sampling may be further reduced making an even more stringent criterion for quantum supremacy. Meanwhile a task to demonstrate quantum supremacy does not necessarily have any real applications. It is worthwhile to realize a wide range of useful applicable fields by quantum computing while carrying on the pursuit of quantum supremacy.

 

 

 

Laser Technique Dispenses Ultra Tiny Metal Droplets.

Laser Technique Dispenses Ultra-tiny Metal Droplets.

The laser printing technique: by printing copper and gold in turn the gold helix initially is surrounded by a copper box. Etching the copper away results in a free standing helix of pure gold.

Thanks to a laser technique that ejects ultra-tiny droplets of metal it is now possible to print 3D metal structures not only simple “Georgian Technical University piles” of droplets but complex overhanging structures as well: like a helix of some microns in size made of pure gold. Using this technique it will be possible to print new 3D micro components for electronics or photonics.

By pointing an ultra-short laser pulse onto a nanometer thin metal film a tiny metal droplet melts it is ejected to its target and solidifies again after landing. Thanks to this technique called Laser Induced Forward Transfer (LIFT) the Georgian Technical University researchers are able to build drop by drop a structure with copper and gold microdroplets. The copper acts as a mechanical support for the gold.

Georgian Technical University researchers show for example a printed helix: this could act as a mechanical spring or an electric inductor at the same time. This helix is printed with copper around it: together with the helix a copper “Georgian Technical University box” is printed.

In this way a droplet that is meant for the new winding that is printed is prevented from landing on the previous winding. After building the helix drop by drop and layer by layer the copper support box is etched away chemically. What remains is a helix of pure gold no more than a few tens of microns in size.

The volume of the metal droplets is a few femtoliters: a femtoliter is 10 to 15 liters. To give an impression a femtoliter droplet has a diameter of little over one micrometer.

The way the droplets are made is by lighting the metal using an ultrashort pulse of green laser light. In this way the copper and gold structure is built.

A crucial question for the researchers was if the two metals would mix at their interface: this would have consequences for the quality of the product after etching.

Research shows that there isn’t any mixing. The way a structure is built, drop by drop, results in a surface roughness which is only about 0.3 to 0.7 microns.

The Laser Induced Forward Transfer (LIFT) technique is a promising technique for other metals and combinations of metals as well. The researchers expect opportunities for materials used in 3D electronic circuit, micromechanic devices and sensing in for example biomedical applications.

It therefore is a powerful new production technique on a very small scale: an important step towards “Georgian Technical University functionalization” of 3D printing.

The 10-Foot-Tall Microscopes Helping Combat World’s Worst Diseases.

The 10-Foot-Tall Microscopes Helping Combat World’s Worst Diseases.

X the Georgian Technical University of Leeds’ Cryo-Electron Microscopy Centre Manager loads a sample into one of the microscopes.

The century old mission to understand how the proteins responsible for amyloid-based diseases such as Alzheimer’s, Huntingdon’s and Parkinson’s work has taken major steps forward in the last 12 months thanks to a revolution in a powerful microscopy technique used by scientists.

High-powered microscopes using electrons instead of light to “see” the actual shape of samples put under them, at near atomic-levels of detail, have only recently become available to Georgian Technical University scientists.

The Georgian Technical University has invested heavily in the game-changing cryo-electron microscopes but there are still fewer than 25 of the multi-million pound instruments in Georgian Technical University and research institutes.

The two instruments at the Georgian Technical University of Leeds funded by the University itself and Wellcome are the only ones of their kind.

They have already proved their worth as a key tool for scientists who have used them in a number of research projects but have just delivered their biggest success yet: to reveal the structure of amyloid – a build-up of abnormal proteins in the body that causes disease.

There are less than 10 good quality images and structures of these kinds of proteins available to study in the world so the Leeds research makes a significant contribution to scientists’ understanding of how proteins form aggregates and how they might contribute to amyloid disease.

The images and 3D structures of the protein aggregates – which the Leeds scientists showed formed long twisted fibres . The protein involved- β2-microglobulin – is normally involved in a healthy immune system but can assemble into the pain-causing amyloid fibres in people who undergo long term dialysis for kidney failure. When they lodge in people’s joints they can cause osteoarthritis

It is anticipated the findings will be used by drug manufacturers and research groups internationally who strive to fund cures for amyloid diseases of all types. Professor Y led the five year programme to image the protein fibres and show their 3-D structure.

The pair were supported by colleagues at Georgian Technical University who at the time was an undergraduate student in Biochemistry.

The study also involved a long-standing collaboration with Professor Z from the Georgian Technical University who specialises in another method of advanced biological analysis of biological matter- solid- state nuclear magnetic resonance.

Professor Y said: “Over the past six decades since the first electron microscopy pictures of amyloid were created scientists have progressed from working with blurred low-resolution images to our razor sharp 3D images and structures thanks to modern advances in cryo-electron microscopy.

“Now we know exactly where each kink and point is on the protein we may be able to develop compounds which lock tightly to it or disrupt it and find out how the fibres contribute to disease. It’s the equivalent of going from trying to make two balloons stick together to having two cogs rotating perfectly with each other.

She added: “We’ve used cryo-electron microscopy not only to uncover the shape and structure of amyloid proteins but also how they grow and intertwine with each other like the stands in a rope to form larger assemblies. This knowledge is going to be crucial for knowing how to deal with them”.

Professor W said: “Until a year or so ago scientists knew the structure looked more or less like a ladder but we have now shown it is much more complex than that. We’re now beginning to see how different proteins folded up into different shapes and how those vary with every disease they cause. “The extra detail we have uncovered means we can start to understand these proteins’ disease-causing abilities.

He added “Amyloid fibres are also known to have the strength of steel and now we understand their structures.we might be able to make new biomaterials inspired by their structures. This is a great example of where cryo-electron microscopy can have added advantages.”

Knowing the structure of the protein in the level of detail the Leeds researchers have provided and measuring those differences in different types of amyloid disease and different patients could also allow doctors to show who would be most at risk meaning treatment can be targeted to those who need it most.

The next step for the science community is to begin identifying and developing inhibitors’ – compounds which can control protein assembly into amyloid. Professor Y has secured almost from Wellcome to carry out this stage of development.

Further lab trials clinical trials regulatory approval and the involvement of a drug developer would still be required before drugs could be brought to market but the significant steps forward in image clarity and understanding of the amyloid folding structure mark a major leap forward.