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Energy & Environmental Science has reported a scientific breakthrough in the study of hematite, an important and promising material in the conversion of solar energy into hydrogen through photoelectrochemical water splitting. The research project was headed by Professor Avner Rothschild of the Faculty of Materials Science and Engineering at the Technion – Israel Institute of Technology and Yifat Piekner, a doctoral student in the Nancy and Stephen Grand Technion Energy Program (GTEP).

The importance of solar energy to our lives is obvious. The sun transmits energy to Earth continuously, and if we are able to harness it for our needs, use of fossil fuels and pollutants such as petroleum and gas will no longer be necessary. The main challenge in switching to solar energy lies in the varying availability of sunlight as the day progresses and seasons change. Every place on earth experiences sunlight for a limited period during the day, but naturally, there is no sunlight at night. Since the electrical grid needs a stable power at all hours of the day and night, use of solar energy depends on our ability to store it so that we are able to use it at night and on overcast days. The problem is that the known form of electrical energy storage – batteries – is inapplicable when it comes to the supply of electricity for a city, a neighborhood, manufacturing site, etc. Moreover, the energy stored in batteries is adequate for a few hours, but batteries cannot provide a solution for long-term storage between seasons.

A possible solution to the storage problem is to convert solar energy into hydrogen using photoelectrochemical solar cells. These cells are similar to photovoltaic cells, which convert solar energy into electricity, but instead of producing electricity, they produce hydrogen using the electric power (current × voltage) generated in them. The power is used for photoelectrochemical water splitting – the use of sunlight energy to directly dissociate water molecules into hydrogen and oxygen.

The advantage of hydrogen over electricity lies in the fact that it easy to store and can be used when needed to generate electricity or for other requirements, such as to power FCEVs (fuel cell electric vehicles). In such cases, the fuel cell replaces the heavy, expensive batteries in Tesla cars and similar vehicles, and could also be used for residential and industrial heating, and the production of ammonia and other raw materials. The advantage of hydrogen as fuel is that its production and consumption do not involve greenhouse gas emissions, or any other emissions, other than oxygen and water.

One of the main challenges in photoelectrochemical cells is the development of efficient and stable photoelectrodes in a base or acid electrolyte, which is the chemical environment in which water can be efficiently split into hydrogen and oxygen. The photoelectrodes absorb the photons emitted by the sun, and use their energy to generate electronic charge carriers (electrons and holes, or missing electrons) that produce hydrogen and oxygen, respectively. Silicon, which is the semiconductor material used in photovoltaic cells, cannot serve as a photoelectrode of this kind, since it is unstable in an electrolyte.

This is the backdrop against which photoelectrochemical cells based on hematite photoelectrodes were developed. Hematite is an iron oxide that has a similar chemical composition to rust. Hematite is inexpensive, stable and nontoxic, and has properties that are suitable for water splitting. However, hematite also has its disadvantages, one of which is the gap between its theoretical energy yield and the yield achieved in practice in actual devices. For reasons that have not been clarified to date despite decades of research, the photon-to-hydrogen conversion efficiency in hematite-based devices is not even half of the theoretical limit for this material. By comparison, the conversion efficiency of photons in silicon solar cells is very close to the theoretical limit. In the present research, which extends and augments the findings recently published in Nature Materials, the research team headed by Prof. Rothschild puts forth an explanation for the mystery. It transpires that the photons absorbed by hematite produce localized electronic transitions that are “chained” to a specific atomic location in the hematite crystal, thus rendering them incapable of generating the electric current used for water splitting, i.e. the separation of water into its elements, hydrogen, and oxygen. (You can read more about the phenomenon on our site, here.)

And now for the good news: Using a new analysis method developed by Yifat Piekner with the help of her research colleagues, Dr. David Ellis of the Technion and Dr. Daniel Grave, senior lecturer at Ben-Gurion University of the Negev, the following data were measured for the first time:

• Quantum efficiency in the generation of mobile (productive) and localized (nonproductive) electronic transitions in a material as a result of photon absorption at different wavelengths
• Electron-hole separation efficiency

This is the first time that these two properties (the first, optical in nature and the second, electrical) have been measured separately, whereas previous studies measured the combined effect of both properties together. Their separation allows for deeper understanding of the factors that influence the energy efficiency of materials for the conversion of solar energy into hydrogen or electricity.

Besides the achievement in terms of practical application, this is a scientific breakthrough that paves a new way for research into light-matter interaction in correlated electron materials.

The research study was sponsored by the Israel Science Foundation’s research center for photocatalysts and photoelectrodes for hydrogen production in the Petroleum Alternatives for Transportation Program, the Grand Technion Energy Program (GTEP) and the Russell Berrie Nanotechnology Institute (RBNI) at the Technion.

Click here for the paper in Energy & Environmental Science

The Technion is 94th on a list of the world’s top 100 universities, according to a report published yesterday by Shanghai Ranking, the world’s leading index for higher education. The Technion – Israel Institute of Technology is also on the top 50 list in two fields: aerospace engineering (16th place) and automation & control (46th place). In chemistry, the Technion ranks among the top 50-75 universities in the world. The Technion has consistently made the top 100 list of the Shanghai Ranking since 2012 (with one exception in 2020).

“The Technion is one of the world’s leading universities, and we will continue to invest efforts and resources to maintain this position for years to come,” said Technion President Prof. Uri Sivan. “The Technion’s strength lies in its excellent human capital, which leads to numerous achievements and breakthroughs in research and teaching. This is the result of hard work and dedication by Technion faculty, deans, administrative staff, and management.”

Prof. Sivan added that the Technion’s listing on the Shanghai Ranking and other indices “is not a purpose on its own. Global academic competition is rapidly intensifying, and while many governments around the world are steadily increasing their investments in academia and research, Israeli universities rely almost entirely on donations, which are becoming increasingly difficult to get.”

According to Prof. Sivan, “in order for Israel to preserve its standing at the forefront of global research, and to ensure the nation’s security, as well as its academic and economic future, the government should significantly increase investment in research and teaching, as well as adopt a welcoming stance toward the absorption of foreign faculty and students.”

While Prof. Sivan is “pleased that the Technion is among the three Israeli academic institutions on the top 100 list, we must remember that without government support and globalization of our research institutions, it will be harder for us to maintain this position.”

The Shanghai Ranking, first published in 2003, categorizes academic institutions according to objective criteria, such as the number of Nobel Prize laureates and other prestigious awards; the number of scientific articles published in the leading journals Nature and Science; the number of times scientific articles published by university researchers have been quoted; and researchers who’ve been frequently quoted in academic journals, relative to their peers in the field.

The index looks at 1,800 universities, from which the top 1,000 are selected. Leading the list are Harvard University, Stanford University, University of Cambridge, MIT and UC Berkeley. For the full ranking, click here.

 

 

The three-body problem is one of the oldest problems in physics: it concerns the motions of systems of three bodies – like the Sun, Earth, and the Moon – and how their orbits change and evolve due to their mutual gravity. The three-body problem has been a focus of scientific inquiry ever since Newton.

When one massive object comes close to another, their relative motion follows a trajectory dictated by their mutual gravitational attraction, but as they move along, and change their positions along their trajectories, the forces between them, which depend on their mutual positions, also change, which, in turn, affects their trajectory et cetera. For two bodies (e.g. like Earth moving around the Sun without the influence of other bodies), the orbit of the Earth would continue to follow a very specific curve, which can be accurately described mathematically (an ellipse). However, once one adds another object, the complex interactions lead to the three-body problem, namely, the system becomes chaotic and unpredictable, and one cannot simply specify the system evolution over long time-scales. Indeed, while this phenomenon has been known for over 400 years, ever since Newton and Kepler, a neat mathematical description for the three-body problem is still lacking.

In the past, physicists – including Newton himself – have tried to solve this so-called three-body problem; in 1889, King Oscar II of Sweden even offered a prize, in commemoration of his 60th birthday, to anybody who could provide a general solution. In the end, it was the French mathematician Henri Poincaré who won the competition. He ruined any hope for a full solution by proving that such interactions are chaotic, in the sense that the final outcome is essentially random; in fact, his finding opened a new scientific field of research, termed chaos theory.

The absence of a solution to the three-body problem means that scientists cannot predict what happens during a close interaction between a binary system (formed of two stars that orbit each other like Earth and the Sun) and a third star, except by simulating it on a computer, and following the evolution step-by-step. Such simulations show that when such an interaction occurs, it proceeds in two phases: first, a chaotic phase when all three bodies pull on each other violently, until one star is ejected far from the other two, which settle down to an ellipse. If the third star is on a bound orbit, it eventually comes back down towards the binary, whereupon the first phase ensues, once again. This triple dance ends when, in the second phase, one of the star escapes on an un-bound orbit, never to return.

In a paper accepted for publication in Physical Review X this month, Ph.D. student Yonadav Barry Ginat and Professor Hagai Perets of the Technion-Israel Institute of Technology used this randomness to provide a statistical solution to the entire two-phase process. Instead of predicting the actual outcome, they calculated the probability of any given outcome of each phase-1 interaction. While chaos implies that a complete solution is impossible, its random nature allows one to calculate the probability that a triple interaction ends in one particular way, rather than another. Then, the entire series of close approaches could be modeled by using a particular type of mathematics, known as the theory of random walks, sometimes called “drunkard’s walk.” The term got its name from mathematicians thinking about a drunk would walk, essentially of taking it to be a random process – with each step the drunk doesn’t realize where they are and takes the next step in some random direction. The triple system behaves, essentially, in the same way. After each close encounter, one of the stars is ejected randomly (but with the three stars collectively still conserving the overall energy and momentum of the system). One can think of the series of close encounters as a drunkard’s walk. Like a drunk’s step, a star is ejected randomly, comes back, and another (or the same star) is ejected to a likely different random direction (similar to another step taken by the drunk) and comes back, and so forth, until a star is completely ejected to never come back (and the drunk falls into a ditch).

Another way of thinking about this is to notice the similarities with how one would describe the weather. It also exhibits the same phenomenon of chaos the Poincaré discovered, and that is why the weather is so hard to predict. Meteorologists therefore have to recourse to probabilistic predictions (think about that time when a 70% chance of rain on your favorite weather application ended up as a glorious sunshine in reality). Moreover, to predict the weather in a week from now, meteorologists have to account for the probabilities of all possible types of weather in the intervening days, and only by composing them together can they get a proper long-term forecast.

What Ginat and Perets showed in their research was how this could be done for the three-body problem: they computed the probability of each phase-2 binary-single configuration (the probability of finding different energies, for example), and then composed all of the individual phases, using the theory of random walks, to find the final probability of any possible outcome, much like one would do to find long-term weather forecasts.

“We came up with the random walk model in 2017, when I was an undergraduate student,” said Mr. Ginat, “I took a course that Prof. Perets taught, and there I had to write an essay on the three-body problem. We didn’t publish it at the time, but when I started a Ph.D., we decided to expand the essay and publish it.”

The three-body problem was studied independently by various research groups in recent years, including Nicholas Stone of the Hebrew University in Jerusalem, collaborating with Nathan Leigh, then at the American Museum of Natural History, and Barak Kol, also of the Hebrew University. Now, with the current study by Ginat and Perets, the entire, multi-stage, three-body interaction is fully solved, statistically.

“This has important implications for our understanding of gravitational systems, and in particular in cases where many encounters between three stars occur, like in dense clusters of stars,” said Prof. Perets. “In such regions many exotic systems form through three-body encounters, leading to collisions between stars and compact objects like black holes, neutron stars and white dwarves, which also produce gravitational waves that have been first directly detected only in the last few years. The statistical solution could serve as an important step in modelling and predicting the formation of such systems.”

The random walk model can also do more: so far, studies of the three-body problem treat the individual stars as idealized point particles. In reality, of course, they are not, and their internal structure might affect their motion, for example, in tides. Tides on Earth are caused by the Moon and change the former’s shape slightly. Friction between the water and the rest of our planet dissipates some of the tidal energy as heat. Energy is conserved, however, so this heat must come from the Moon’s energy, in its motion about the Earth. Similarly for the three-body problem, tides can draw orbital energy out of the three-bodies’ motion.

“The random walk model accounts for such phenomena naturally,” said Mr. Ginat, “all you have to do is to remove the tidal heat from the total energy in each step, and then compose all the steps. We found that we were able to compute the outcome probabilities in this case, too.” As it turns out a drunkard’s walk can sometime shed light on some of the most fundamental questions in physics.

Click here for the paper in Physical Review X

From detecting cardiovascular disease, to fighting coronavirus, Faculty of Biomedical Engineering students recently presented an array of innovative projects that integrated everything they had learned.

During project development, the students had to go through all the stages needed to bring an idea to fruition. Starting with a medical problem which they had to tackle, they had to combine and implement medical know-how with engineering skills and scientific knowledge in order to provide a real-world solution. This hands-on experience exposes and prepares Technion graduates to the high-tech and biomed industries, and to biomedical research in a way that encourages multidisciplinary work. Therefore, such projects are vital for their future career and entrepreneurial skills.

Here’s a glimpse into some of the most intriguing (and often lifesaving) student projects in biomedical engineering.

Early detection of cardiovascular disease 

Sivan Barash and Shachar Zigron took first place in the student project competition, presenting a novel way of labelling macrophage cells, making them detectable by MRI. Macrophages are cells involved in the detection and destruction of bacteria. Cardiovascular disease is strongly associated in the public mind with fat storage in the body, but recent studies have shown significant involvement of inflammation in the process. Since macrophage cells have a major role in inflammation, being able to observe their movement within the body would facilitate scientists’ exploration of the connection between inflammation and cardiovascular disease. The duo’s project has lain the groundwork for in-vivo studies soon to be conducted in the laboratory of Prof. Katrien Vandoorne.

AI-based decision support machine for fetal monitoring 

Second place went to Amit Parizat and Rotem Shapira, who created an artificial intelligence (AI) system to analyze the output of the fetal monitor during labor and serve as a decision support machine. Complications during labor develop rapidly and can harm mother and child. The fetal monitor alerts healthcare providers of complications during labor. However, analyzing the monitor’s long signals manually is challenging and leads to obstetrics teams recommending a Caesarean “just in case” at the slightest indication, to the point that currently a third of all births in the U.S. involve a C-section, and only 20% of C-sections are later found to have been necessary. C-sections carry risks to the mother and involve a long recovery and long-term side effects. Amit and Rotem proved the feasibility of training an AI machine to predict complications during childbirth, preventing unnecessary invasive intervention, while ensuring that intervention is performed when needed. To achieve this, the two worked with the Obstetrics and Newborn Medicine Division at the Carmel Medical Center.

Treating cancer 

Orel Shahadi and Or Levy, coming in third, developed a 3D model that simulates drug penetration into solid tumors, facilitating development of new drugs and drug combinations to treat cancer. Their innovative model features an inner cluster of cells engineered to display fluorescence, surrounded by an outer layer of cells. Change in the cells’ fluorescence served as an indicator, providing a way to measure drug penetration into the tumor with a high level of precision.

Detecting heart rhythm problems through the color of your skin  

Yonathan Belicha and Daniel Cherniavsky, who took fourth place, explored a novel approach to diagnosing cardiac arrhythmias (heart rhythm problems), using nothing more than a few 1-minute videos of the patient – the kind of videos one might make using one’s smartphone. The natural contraction and relaxation of the heart cause minute changes in the human skin color. Yonathan and Daniel extracted those very small changes from the video, and from them – the subject’s pulse. Using this, they trained an AI system to recognize cardiac arrhythmia.

Fighting coronavirus with… ultrasound! 

Finally, Mor Ventura, Dekel Brav and Omri Magen, coming in fifth, tackled one of the challenges posed by the COVID-19 epidemic. Classification of the COVID-19 severity degree is usually done in hospitals using CT. However, CT machines’ availability is strained, they are expensive, and the process is further complicated by the need to transfer a patient with a highly contagious disease to and from the machine. Mor and Omri explored the possibility of using lung ultrasound instead, obtaining the necessary diagnostic information faster and more easily at the patient’s bedside, also significantly reducing the workload in healthcare facilities. To this end, they first developed an image-processing algorithm to “read” and label lung ultrasounds, identifying areas of interest and ignoring artefacts. Using the results of this algorithm, the trio then trained a neural network to classify the ultrasound videos and identify the severity of the patient’s illness. The project was conducted in collaboration with the Tel Aviv Sourasky Medical Center.

Award-winning FemTech startup

Asaf Licht and Zeinat Awwad presented the entrepreneurship project. Just finishing their bachelor’s degree, the two have already turned their project into a startup called Harmony. Their project is a FemTech initiative, developing a wearable, continuous, and non-invasive tracker to monitor women’s hormonal levels, aiming to ease the process of IVF, but also relevant for avoiding pregnancy, or alternatively for increasing the chances of getting pregnant. Currently, IVF procedures requires a blood test multiple times a week; Harmony seeks to replace that with an at-home device that provides continuous measurements while reducing discomfort. This project won first place in the EuroTech Innovation Day startup competition.

To read about additional student projects recently presented at the Technion, click here, here, and here.

Story by Tanya Haykin

The elderly population appears to be more vulnerable to COVID-19, and vaccines are less effective in protecting them. Why? In her doctoral thesis under the guidance of Professor Doron Melamed, Reem Dowery discovers the answer, explores the aging process of the immunes system, and presents means of rejuvenating it. The findings were recently published in the journal Blood.

Memory B lymphocytes are cells within the human body that are responsible for long-term production of effective antibodies. They are formed when the body is exposed to a new pathogen (i.e. virus, microbe, etc.). Upon consequent exposures to the same pathogen, they recognize it and elicit an enhanced antibody response to trigger an accelerated and augmented immunity. These cells are long-lived, capable of surviving and maintaining immune memory for many years. They are what vaccines attempt to generate, providing the body with the first exposure to what it interprets as the pathogen.

It has been known for some time that the formation of memory B lymphocytes is not as effective in elderly population, putting them at greater risk when facing new pathogens such as COVID-19. Now, for the first time the research group of Prof. Doron Melamed of the Technion’s Ruth and Bruce Rappaport Faculty of Medicine were able to explain why this is so. The group found that as with many other systems in the body, the immune system maintains a steady-state, homeostasis. It turns out that existing memory B lymphocytes (responsible for immune memory), by means of hormonal signals, impede the production of new ones. As a result, with age, the human immune system becomes more adept in responding to pathogens it had encountered before, but less capable of adapting to new threats. The same process makes vaccines less effective in protecting the elderly population.

Providing the right preventive measures

With the explanation found, and the signaling pathway through which the phenomenon occurs explained, the researchers wondered, could it be possible to alter, or to rejuvenate the immune system? To answer that question, Prof. Melamed’s lab collaborated with the departments of hematology and rheumatology at the Sourasky Medical Center and the Rambam Health Care Campus, respectively. As part of the treatment for some medical conditions (among them lupus, lymphoma, and multiple sclerosis), patients undergo B-cell depletion. In other words, a significant amount of memory B lymphocytes are removed from their body. Examining aged patients who underwent this procedure, the research team found their immune system had been rejuvenated, and their body able to produce new, highly potent B lymphocytes once again.

An effect similar to B-cell depletion can be produced by inhibiting one of the hormones in the signaling pathway that suppresses the production of new memory B lymphocytes. This groundbreaking proof-of-concept study of Reem Dowery and Prof. Melamed has opened the way for exploring the rejuvenation of the immune system. Its more immediate implications are on understanding the immune response in elderly populations, and providing the right preventive measures in light of this new information, in particular with regard to the current COVID-19 pandemic.

Click here for the paper in Blood

Air drums, dancing “spiders,” and robodogs were among many cool student projects presented recently at the Henry and Marilyn Taub Faculty of Computer Science.

In a project fair held at the end of the spring semester, students graduating from the Technion’s Faculty of Computer Science presented their work. The faculty values independent work as part of the graduates’ training process, and such projects give students an opportunity to integrate what they have learned.

The students presented various projects in the field of computer science, focused on the challenges they chose to tackle. Some created mobile apps for different uses; some developed programs to solve diverse problems; some delved into virtual reality; and others built devices, in the evolving field of Internet of Things (IoT). Multiple projects focusing on the Internet of Things were led by Itai Dabran and supervised by Tom Sofer, Michael Mendelson Mints, Vladimir Parakhin, Alon Binder, and others.

Here are some of the most intriguing projects presented.

 

Play drums without disturbing the neighbors

Almog Algranti, Nadav Abayov, and Yarden Wolf, created air drums: using computer vision algorithms, their app detects the drumsticks in the user’s hands, and plays music as if the user were seated at a drum set, recognizing both which drum is being struck, in what manner and with what force. “I play the piano, and recently got interested also in drums,” Algranti (filmed, below) explained. “This was an opportunity for me to create an ‘instrument’ that would let me practice without the financial investment in a drum set, and without disturbing the neighbors.”

Vintage computer game ‘Icy Tower’ now requires taking actual steps!

Suad Mansour, Sereen Diab and Aseel Khateeb, turned nostalgic computer game Icy Tower into a sports app by attaching an exercise stepper. Now, the game character would only move so long as the player kept moving. If the player stopped, the character would fall, resulting in a game-over. Like any sports app, the project displays feedback about steps walked and calories burned, as well as the game’s leaderboard. “As children, we played this game, and it as a lot of fun,” the three explained, “but it’s not very healthy to spend a long time by the computer, moving nothing but the arrow keys.”

Smart clotheslines

Eliezer Alter, Barel Cohen Adiv and Eliad Ben Haiem, who all three live in the campus dorms, decided to “smartify” their clothesline. Equipped with a water sensor, a light sensor, and a tarp, their clothesline now unrolls the tarp over the clothes if it rains, folds the tarp back when the sun comes out, and even sends reminders to do the laundry when the weather promises to be fine.

No (real) dog, no mess: meet the robodog!

Nadav Ashkenazi, Asaf Bialystok and Nathan Voldman constructed a dog that recognizes its owners, follows them around, and barks at strangers. Ethan Baron, Ron Klaz and Snir Green’s “spider” recognizes music and dances to the rhythm. Daniel Shkolnik, Omer Hemo and Mordechai Ben Harush created a queuing app for individual exercise machines at the gym.

All in all, students created useful and fun projects, all demonstrating implementation of diverse skills. A considerable number of projects stood out for being purposely built to help the community. You can read about those here.

Come end of term, the Henry and Marilyn Taub Faculty of Computer Science at the Technion held its annual projects fair, showcasing projects by undergraduate students in their final year. Given freedom to choose how they will apply the principles learned in the course of their studies, multiple groups chose to help the community, and more than one partnered with the Technion Social Hub to do so.

The students’ projects and the partnership with the Technion Social Hub present a unique opportunity: small NGOs often find themselves in need of a software solution but can neither find an existing platform to cover their particular needs, nor afford custom software. This is just the demand students can meet, at the same time gaining valuable experience in serving a client.

This year, three such projects stood out among the rest.

First, a project for Friends for Health, by Ido Yam, Tal Manheim, Yaakov Sherma, Illay Hai, and Daniel Shapiro, guided by Eytan Singher and Itai Dabran. Friends for Health is a nonprofit organization dedicated to helping people who cannot afford the life-saving medication they need. Their stock comes from donors who have unused medications that they are willing to donate. The Technion team wrote for the organization a computerized interface – for the patients, it guides them to the appropriate form for receiving the specific medication they need; for donors – organizing the donation, adding the possibility for medications to be collected from the donor’s home (necessary for medications with strict storage requirements); for employees – management functions. These functions, which we take for granted in a commercial company, were previously done manually in this important nonprofit. The students’ software would considerably shorten waiting times and enable Friends for Health to assist more patients.

A similar project was provided for Social Delivery by Lior Zelikman, Alex Chirkov, Yagel Meir and Tal Neoran, guided by Eytan Singher and Itai Dabran. Social delivery is an initiative offering logistical solutions for connecting between excess stocks of various objects (furniture, textiles, etc.) and NGOs needing those objects. Recently, they are also looking into adding companies replacing office furniture as potential donors. The students digitized for the first time the initiative’s donations, requests and storage tracking. The new interface even lets donors see their past donations and which NGOs they had helped.

A project of a different sort is the Hadar Social Network, by Haneen Jeries, Hussein Abu Jabal, Sami Hammoud and Haitham Kablan, guided by Elazar Gershoni and Itai Dabran. Hadar is considered a disadvantaged neighborhood in the City of Haifa, and the Technion is located nearby. Over the past years, the neighborhood has come to organize, and people started assisting each other however they can. But everything was happening over disjointed WhatsApp conversations, making it difficult to keep track of what was going on, or administrate the interactions. The students partnered with the neighborhood council to create a dedicated app, providing a smooth and secure process of connecting volunteers with people who need help. An administrator can ensure the security of the interaction, and a community social worker can use it to provide assistance.

These projects were by no means the only ones that sought to combine a homework assignment with a chance to do good. Other groups dealt with fair trade, donation of excess food from restaurants, accessibility mapping and more. For Technion students, academic success and helping those less privileged go hand in hand.

Technion scientists have managed to grow an engineered human lymphatic vessel network. Published in PNAS, the study was led by postdoctoral fellow Dr. Shira Landau and conducted in the laboratory of Professor Shulamit Levenberg of the Technion Faculty of Biomedical Engineering. The significance of the researchers’ findings lies in a better understanding of lymphatic vessel generation, which could have implications for treatment of lymphedema and the generation of more lifelike tissue flaps.

The lymphatic vessels are built similar to veins. They collect the fluid between the cells in all body tissues. This lymphatic fluid is collected by lymph capillaries, then transported via progressively larger lymphatic vessels through lymph nodes, before emptying ultimately into major veins. The lymphatic system also plays an important role in the body’s immune response. Damage to the lymphatic vessels results in localized swelling, a condition called lymphedema. Lymphedema currently has no cure. Common treatments that provide partial improvement include compression of the affected limb and massage. In severe cases, bypass surgery is prescribed.

In the lab, Dr. Shira Landau and her coresearchers grew human lymphatic vessels, together with blood vessels and supporting cells, creating engineered tissue with a functioning vessel network. This was done from inner-lining cells of lymphatic vessels, together with blood vessels respectively, together with support cells, all seeded on sheets of collagen – the main structural protein of the body’s connective tissue. That is, their engineered tissue mimics as closely as possible the body’s natural structures. From this seemingly simple starting point, the group had within a few days a network of vessels that displayed both the arrangement and the functionality expected of them in the body. The engineered tissue was further implanted into a mouse, and successfully integrated with the mouse’s lymph and blood vessels.

This success by the Technion scientists has multiple implications. First, the platform they grew would facilitate the study of lymphatic vessels, their formation, and the factors that affect them. Second, lymphedema, which currently lacks effective treatment, could be in the future treated by implanting a functional network of smaller and larger lymph vessels that would merge with the host’s system, all grown from the patient’s own cells, eliminating fear of rejection. Third, engineered tissue flaps, that is units containing multiple tissues necessary for transplantation, such as muscle, blood vessels, and connective tissue, could be made more lifelike, containing lymph vessels as well. This would improve the implant’s integration and speed up healing.

Click here for the paper in PNAS

Researchers at the Technion – Israel Institute of Technology have developed an innovative rapid imaging technology and demonstrated its performance in reconstructing the movement of a minute animal. Published in Nature Communications, the development project was headed by Professor Amir Rosenthal, doctoral student Evgeny Hahamovich, and master’s student Sagi Monin of the Andrew and Erna Viterbi Faculty of Electrical and Computer Engineering.

         

Images: Visualizing the movement of C. elegans with the new technology. Creating such videos had not been previously feasible with SPI technologies.

The research team’s technology is based on the innovative SPI (single-pixel imaging) concept – the production of high-quality images using a device equipped with only a single detector. This concept, which enables photographs to be taken without a camera, has vast potential for diverse applications, such as the development of components of warning systems in autonomous vehicles or enhanced image depth in microscopy of biological tissues.

SPI is based on the illumination of an object with encoded light patterns, generally by means of a projector. Based on the properties of the light reflected and propagated by the object, the image of the object can be produced using reconstruction algorithms. The problem is that to date, these systems have been hampered by significant limitations, one of them being the slow image acquisition rate, which is the result of the fact that the projectors themselves are slow. This has, until now, limited use of the systems to photographing stationary objects.

The Technion research team broke through this limitation by applying a new method for spatially encoding light at unprecedented frequencies – 2.4 MHz as opposed to 22 kHz, which is the maximum frequency currently available in SPI technology. This represents an improvement of more than a hundredfold in projection rates and image acquisition rates. By using a rotating device fitted with a coding mask, the researchers created a completely new illumination pattern and an SPI microscope with unprecedented capabilities.

To demonstrate the system’s capabilities, the research group produced videos with a frame rate of 72 FPS (frames per second). The films accurately depict the complex movement of the nematode worm, C. elegans, an impossible achievement using currently available SPI technology.

The study was funded by the Ollendorf Minerva Center.

Click here for the paper in Nature Communications

Technion students taking a one-of-a-kind course called “A Matter of Perspective” – a collaboration of the Henry and Marilyn Taub Faculty of Computer Science and the Faculty of Architecture and Town Planning – recently showcased their final projects. The class engaged students in using digital manufacturing technologies to produce a physical product, through the realization of a geometric algorithm.

The class gave an opportunity to both architecture and computer science students to work together in small teams, exposed to each other’s worlds. They then submitted a final project, which included an algorithm that produces geometry, and a physical object produced using digital technologies (e.g. 3D printing or laser cutting).

Among the final projects were:

• A printed object that casts a shadow in various shapes when rotated
• 3D “eclairs” dominated by a pattern of laser-cut parameters based on oxidation shape
• A printed object that contains three different images, which reveal themselves depending on the direction from which you look at them
• 3D-printed lenses with transparency and color transitions that create shapes projected on the wall

The course was taught by Prof. Gershon Elber (Computer Science), Prof. Miri Ben-Chen (Computer Science), Yoav Sterman (Architecture) and Kacper Pluta (Computer Science, TA).

“By combining the creativity and design capabilities of architecture students with the computational mindset and algorithmic abilities of computer science students, this course has the potential to create holistic ideas and designs that go much further than what each discipline can create individually,” the professors say. “Specifically, computational tools allow for easy automation and form finding, whereas the design aspect drives shape exploration towards functional and inspiring objects.”

They added that, in the long term, the course can be a stepping stone towards joint research and collaboration between the two faculties. The course A Matter of Perspective will be taught again in the Spring semester of 2022.

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H₂O_LL, an innovative Atmospheric Water Generator (AWG) technology developed at the Technion – Israel Institute of Technology, has won the prestigious Water Europe Innovation Award for SMEs. The award was announced in June at the Water Innovation Europe 2021 Conference. Water Europe (WE) is a European technology platform for collaboration between research institutes, companies, and water utilities. The Water Europe platform was initiated by the European Commission in 2004, and now encompasses more than 200 commercial businesses, academic and research bodies, and water supply companies whose collective goal is to build a water-smart economy in Europe.

More than 10% of the world’s population, over 670 million people, presently have no access to clean drinking water, which significantly impacts numerous aspects of their lives, including health, education, and gender equality. H₂O_LL’s Atmospheric Moisture Harvesting (AMH) technology is capable of extracting moisture from the air even in arid and desert regions, and is highly relevant to many of the UN’s Sustainable Development Goals, including the rights of every person for clean water, good health, and well-being, climate action, quality education, and gender equality (in many places in the world, children – girls in particular – are required to provide water to the family at the expense of attending classes at school).

The H₂O_LL technology was developed by Professors David Broday and Eran Friedler from the Faculty of Civil and Environmental Engineering and was patented by the Technion. The development team is headed by Mr. Ilan Katz (M.Sc.) as CTO, Mr. Oded Distel who leads the business development, and Dr. Khaled Gommed from the Faculty of Mechanical Engineering.

The Technion research team built a prototype at the Technion’s Environmental Technologies Yard, which has been producing potable water since the winter of 2019-2020 (i.e. throughout the COVID-19 pandemic) and serves as a proof of concept (POC). Award-winning company H₂O_LL is en route to becoming a company and to commercializing the technology, with Mr. Ilan Katz as its CEO and Mr. Oded Distel as VP for business development.

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Technion researchers are harnessing the power of artificial intelligence (AI) to tackle the world’s most-pressing challenges. Their extensive work in the field has positioned the Technion among the world’s leaders in AI research and development. CSRankings, the leading metrics-based ranking of top computer science institutions around the world, has ranked the Technion No. 1 in the field of artificial intelligence in Europe, and 15th worldwide. In the subfield of machine learning, the Technion is ranked 11th worldwide.

Over the years, the Technion has carried out outstanding research in the field of AI – much of which has developed into trailblazing commercial products. Collaborations with manufacturers, the high-tech industry, government agencies, R&D centers, healthcare providers and academic institutions, have all contributed to the Technion’s excellence in the field, and many alumni and researchers have gone on to found companies across the AI spectrum.

During the coronavirus pandemic, Technion researchers and alumni have used a host of AI technologies, from detection to diagnostics, including testing for pre-symptomatic COVID-19 carriers; predicting the spread of COVID-19 around the globe; and analyzing the data of thousands of patients to show the effectiveness of the COVID-19 vaccine.

To learn about the Technion’s groundbreaking AI research and technologies, click to read our Summer 2021 AI Brochure.

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