Researchers in Australia have designed an electronic skin that displays human-like reactions to pressure, temperature and pain. Madhu Bhaskaran and colleagues at RMIT University developed the material by combining artificial sensors for these three stimuli into a single, biocompatible film. Their design represents a significant advance in our ability to mimic human skin, and could lead to important developments in both healthcare and robotics.
As our largest sensory organ, the skin contains an abundance of sensory neurons that continually monitor the levels of certain stimuli in our surrounding environments. These sophisticated receptors transmit the information they gather to the brain, which makes real-time decisions about how we should react to them. If the levels of any stimuli rise above certain dangerous thresholds, the brain can then trigger reactions that take us out of harm’s way.
Three types of receptor are particularly important for our survival: the Pacinian corpuscle, which monitors pressure; the thermoreceptor for temperature; and the nociceptor for pain. As researchers attempt to mimic the function of our skin in artificial materials, it is crucial for them to recreate the behaviours of these neurons. However, the sheer complexity of their reaction-triggering mechanisms has so far proven extremely challenging to imitate.
Bhaskaran’s team overcame these issues using a device named a “memristor”, which can regulate the current in electrical circuits, while remembering how much charge has previously flowed through it. Just as the brain uses its long-term memory to decide how to react to stimuli, memristors can evaluate when to switch between different memory states, based on stimuli detected by sub-nanometre conductive filaments.
The skin-like sensing prototype device, made with stretchable electronics. (Courtesy: RMIT University)
To develop an artificial skin, the researchers combined a strontium titanate-based memristor with a stretchable, gold-on-silicone (polydimethylsiloxane) pressure sensor, allowing them to mimic the behaviour of the Pacinian corpuscle. In addition, Bhaskaran and colleagues incorporated the memristor into a vanadium oxide temperature trigger, which could be tuned to transition between a metal and an insulator at a defined temperature. This enabled them to imitate the thermoreceptor, as well as four critical functions of the nociceptor.
As well as being transparent, durable and biocompatible, the resulting film exhibited responses to multiple different stimuli that accurately reproduced those of the human nervous system. When applied levels of pressure, temperature and pain rose above human-tolerable thresholds, the sensors became triggered almost instantaneously.
Since the electrical skin is both affordable and easy to manufacture, it opens up new opportunities for advances in healthcare – including the ability to replace damaged receptors with non-invasive skin grafts, and even to augment human experiences of certain stimuli for applications including defence and sports. Elsewhere, it could lead to new advances towards human-like robots, as well as smarter feedback mechanisms for interfaces between humans and machines.
What is the fairest way to slice up a watermelon? A juicy question that you might never have considered unless you are suddenly given the task at a children’s birthday party. Well, physicists in Belgium, France and Italy have now tackled the problem using geometry and calculus. After cutting the whole watermelon in half along its length and then in the middle to yield four equal quarters, the researchers discovered that this “half rule” fell away when then trying to slice the watermelon up into equal thin portions. Instead they found a ”2/3 rule”. So for a spheroid watermelon of length 10 cm, for two slices, the first slice should be made at 3.5 cm along the length but for three slices, the first slice should be 2.1 cm and the second 4.2 cm. After doing the calculations, the researchers tested them on a 4 kg watermelon and used Archimedes principle to confirm the slice volumes were equal. Eureka!
A week or so ago the illusionist David Blaine floated over the Arizona desert while hanging on to a bunch of helium balloons. Now if you want to do this – and I am not recommending it – how many balloons would you need? The physicist Rhett Allain has done all the heavy lifting and provides the answer in “Let’s calculate how many balloons David Blaine needed to float”.
Counterfeit drinks cost the UK economy more than £200 million in lost revenue each year and this is a real concern in Scotland, where whisky production is a multi-billion pound industry. Indeed, rare bottles of whisky can fetch as much as £1 million, so collectors are keen on knowing what is in their bottles – but do not necessarily want to open them to find out.
Now, researchers at Scotland’s University of St Andrews have developed a new laser-based spectroscopy technique that produces a chemical fingerprint of a whisky, without having to open the bottle. Previous attempts at doing this had not been successful because of the strong signal generated by the laser striking the glass. The team get around this by using a ring-shaped laser beam that is tightly focussed on a small region in the liquid. By only gathering the spectroscopic signal from this focal point, they avoided the signal from the glass. You can read more in a paper published in Analytical Methods.
In recent years, advances in alkaline exchange membrane fuel cells (AEMFCs) with anion exchange membrane (AEM) solid polymer electrolytes have gained traction due to their distinct, and potentially game-changing, advantages over proton exchange membrane fuel cells. There has been growing excitement in the past 2–3 years, especially as AEMFCs have reached a stage in their development where state-of-the-art cells are reaching comparable power densities to proton exchange membrane fuel cells (PEMFCs) and are able to operate stably for more than 1000 hours.
However, AEMFCs still need to address at least three critical issues if they are to be deployed in the field:
Water management in AEMFCs is more complex than PEMFCs and there is a tendency for significant water accumulation and flooding at the anode – sacrificing both performance and longevity.
There is a need to reduce costs significantly below the PEMFCs and doing this will require completely PGM-free catalysts.
Management of CO2 and mitigation of CO2-related performance losses.
This presentation will begin with an introduction to how AEMFCs operate, their similarities and differences to PEMFCs. Then, state-of-the-art performance and durability will be shown along with an explanation for how these two were systematically improved over the past few years due to advances in materials as well as innovations in electrode design and reactor engineering. Next, the three issues above – water management, PGM-free catalysts and CO2 management – will be discussed, with a focus on the fundamental thermodynamic, kinetic and transport barriers that remain. Finally, an outlook on the future of the technology and important areas for research will be
discussed.
William (Bill) Mustain is a Professor in the Department of Chemical Engineering at the University of South Carolina (USC). In 2017, he moved to USC from the Department of Chemical and Biomolecular Engineering at the University of Connecticut (UConn) where he was an Associate Professor and the United Technologies Corporation Professor of Engineering Innovation. He joined UConn as an Assistant Professor in 2008 and was tenured and promoted to Associate Professor in 2013. Professor Mustain has worked in several areas related to electrochemical energy generation and storage including: high-capacity materials for lithium-ion batteries, catalysts and supports for proton exchange membrane and anion exchange membrane fuel cells and electrolyzers, electrochemical synthesis of fuels, electrochemical control of biological systems, the purposeful use of carbonates in low-temperature electrochemical systems, and the electrochemical capture and utilization of CO2. He has been the PI or co-PI on approximately $10m of externally funded research projects. He has published more than 100 peer-reviewed articles and three book chapters to date and has more than 100 invited and conference talks. He has been the recipient of several awards including the 2009 Illinois Institute of Technology Young Alumnus Award; 2013 US Department of Energy Early Career Award; 2014 Connecticut Quality Improvement Platinum Award; 2014 Supramaniam Srinivasan Young Investigator Award (awarded by the Energy Technology Division of The Electrochemical Society); 2017 UConn Chemical Engineering Faculty of the Year Award, 2019 USC Chemical Engineering Publication Award; and 2015–2016 Fulbright Scholar Fellowship.
EmpowerRT’s founder and president Sha Chang trains staff at the Cancer Diseases Hospital in Zambia to use EmpowerRT’s software. (Courtesy: Cathy Mwaba, Zambia Cancer Diseases Hospital)
EmpowerRT, a social enterprise company spun out from the University of North Carolina (UNC), has an impressive goal: to help resource-limited cancer clinics in developing countries improve radiotherapy, at just 5–10% of the cost of purchasing modern technology.
Currently, there is a huge disparity in cancer care across the world. About 70% of deaths from cancer occur in low- and middle-income countries (LMICs) and, according to the World Health Organization, it is these LMICs that will face the highest increase in cancer death rates in decades to come.
One underlying reason for this disparity is that many cancer clinics in LMICs still rely on older generation radiotherapy equipment, with no funds available to update to modern digital-based systems and the associated infrastructure. And while advances in radiation therapy technologies, such as the introduction of intensity-modulated radiotherapy (IMRT, which has been standard-of-care for years in developed nations), can improve tumour targeting and clinical outcomes, such systems are simply too expensive for many cancer clinics in LMICs.
“This is the really sad truth,” says EmpowerRT’s founder and president Sha Chang. “Many patients in developing countries die and suffer, not because the world doesn’t know how to treat their cancers, but because they have no access to the treatments. Our mission is to help people in low-resource countries to improve the quality of radiotherapy using existing resources, without spending millions of dollars that they don’t have.”
EmpowerRT is tackling this problem by offering a technology that enables any radiation delivery system to provide IMRT, using a low-cost compensator placed in front of the treatment beam. The compensator comprises a styrofoam mould filled with tungsten granules. It can be fabricated using a milling machine, assembled on site and, after treatment, the tungsten can be recycled to treat other patients. “The core belief of EmpowerRT is that we can advance cancer care by doing more with less, doing more with what is already available, and doing it simply”, says Sha.
The Styrofoam compensator mould (left) filled with recyclable tungsten granules (right). (Courtesy: Cathy Mwaba, Zambia Cancer Diseases Hospital)
Similar to modern radiotherapy systems, the IMRT compensator shape is individually designed to attenuate the radiation beam to maximize dose to the tumour target while minimizing dose to nearby healthy tissue. “Using this approach, we can make existing radiation therapy machines in LMICs deliver a more advanced treatment. That’s the beauty of it,” says Sha. She explains that the recyclable compensator IMRT solution was developed at UNC before multileaf collimator (MLC)-based machines were widely available, and was used in treatments for 14 years and 1400 patients before UNC terminated its use after migrating to digital-based radiotherapy.
“We developed the recyclable compensator IMRT technology at a time when we were in a manual operating environment that’s still used in many low-resource settings. So we know this technology is feasible in that environment,” says Sha. “We want to give our proven technology a second life that can benefit more cancer patients.”
In addition to the recyclable compensator IMRT technology, EmpowerRT also offers treatment planning software and e-chart, a digital patient chart software designed for manually operated clinics. “Our goal is to bring the many benefits of a record and verify system to low-resourced clinics in LMICs,” says Sha. “We are also bringing in grid therapy, a novel therapy that benefits large and late-stage tumours, which are more prevalent in developing countries.”
The company also provides extensive training and support, to help sites introduce IMRT – everything from quality assurance and patient selection to setup – in order to establish an effective and safe treatment programme.
Inaugural installation
EmpowerRT has now installed this technology at its first site – the Cancer Diseases Hospital in Zambia. The country’s sole cancer hospital, it has three basic radiotherapy machines, none of which were previously able to deliver IMRT.
The EmpowerRT team offered remote training on the treatment planning software and also travelled to Zambia three times for extended onsite training and dry runs. Sha notes that the training focused on knowledge transfer: “we train the trainer, and then watch the trainer train others,” she explains.
Radiotherapy training at the Cancer Diseases Hospital in Zambia. (Courtesy: Cathy Mwaba, Zambia Cancer Diseases Hospital)
“The training was excellent and the time spent was more than expected, with various hands-on and ‘real patient’ practice cases,” says Mulape Kanduza, chief medical physicist at the Cancer Diseases Hospital. “My first impression was ‘why is this renowned professor from UNC interested in working with our department?’. Effort was put both by the trainees and trainers and I believe the output is evident.”
Challenges such as machines breaking down and long delays in performing repairs, which are not uncommon in a LMIC environment, exacerbated by COVID-19-related travel restrictions, mean that the Cancer Diseases Hospital has not been able to complete an IMRT patient treatment yet. “But we have overcome many unexpected challenges, and the Zambia team of doctors, physicists and radiation therapy technologists all learned a great deal,” says Sha. “They are confident that they can do this new procedure independently, with us remotely doing the review and monitoring. That’s the success.”
“The future is very positive in that we have created a lasting relation to draw from,” Kanduza tells Physics World. “The positive outcome [will be] seeing an IMRT patient treatment being executed and knowing that the outcomes will be much better than treating with other conventional techniques.”
“Improved quality assurance in the workflow, using the Excel-based e-chart to review treatment records, has allowed us to think differently and to acknowledge change,” Kanduza adds. “One measurable outcome is that EmpowerRT’s e-chart system can work in a low-income setting such as ours.”
Looking ahead, EmpowerRT is now in talks with cancer clinics in Nigeria and Indonesia. The company is also partnering with organizations such as Clinton Health Access Initiative, which has worked for decades to reduce the burden of disease in LMICs, and Rayos Contra Cancer, which focuses on global radiotherapy training.
“We are also writing an NIH small business proposal targeted to feasible and effective cancer solutions in LMICs,” says Sha. “The next step is not only looking for where we can help, but how as a social enterprise company we can continue to grow, to partner with more like-minded global cancer care organizations and make a difference together.”
For almost 75 years, the Doomsday Clock has monitored how close humankind is to global catastrophe. With the clock now closer to midnight than ever before, the science writer Rachel Brazil talks to Physics World’s Matin Durrani about how the clock is set by the Bulletin of the Atomic Scientists and how physicists can engage in public debates about the challenges facing civilization.
Space travel is one challenge that humans have overcome, and we could soon embark on a second era of exploration that culminates in the colonization of the Moon. Lunar dust, however, could be the nemesis of Moon dwellers because the stuff gets everywhere and can damage spacesuits and other essential technologies. Xu Wang and Ben Farr of the Laboratory for Atmospheric and Space Physics at the University of Colorado Boulder join the podcast to explain how beams of electrons could help keep equipment dust free on the Moon.
The film Proxima looks at the themes of motherhood, separation and sexism from the perspective of an astronaut who is preparing to spend a year on the International Space Station. Physics World’s Tushna Commissariat is on hand to give her impressions of the film and to chat about our interview with the film’s writer and director Alice Winocour.
Brain–computer interfaces (BCIs) offer the potential for people with severe motor disabilities to control external assistive devices with their mind. Current BCI systems are limited, however, by the need for daily recalibration of the decoder that converts neural activity into control signals. Researchers at the UC San Francisco Weill Institute for Neurosciences have now employed machine learning to help an individual with tetraplegia learn to control a computer cursor using their brain activity, without requiring extensive daily retraining.
To record neural activity, the team used a 128-channel electrocorticography (ECoG) implant, a pad of electrodes that’s surgically placed on the surface of the brain. Already approved for seizure monitoring in epilepsy patients, ECoG arrays provide greater long-term stability than the pincushion-style arrays of sharp electrodes used in previous BCI studies, which are more sensitive but tend to move or lose signal over time.
“The BCI field has made great progress in recent years, but because existing systems have had to be reset and recalibrated each day, they haven’t been able to tap into the brain’s natural learning processes,” explains senior author Karunesh Ganguly. “It’s like asking someone to learn to ride a bike over and over again from scratch.”
The ECoG implant. (Courtesy: Noah Berger/UCSF)
The researchers developed a BCI algorithm that uses machine learning (based on an adaptative Kalman filter) to map the neural activity recorded by the ECoG electrodes to the user’s desired cursor movements. Over a period of roughly six months (two months after ECoG implantation), they conducted experiments to assess two approaches for adaptation of this decoder algorithm as the user learns control.
First, they tested the existing practice of resetting the algorithm each day. Here, the participant imagined movements of his neck and right wrist while watching a cursor move across the screen, and the algorithm gradually updated itself to match the cursor’s movements to the generated brain activity. This daily initialization, however, could require hours for the participant to master cursor control; some days, he could not achieve control at all.
Next, the researchers examined an approach called long-term closed-loop decoder adaptation (CLDA), in which decoder weights from the previous day’s session are used for the current session, without resetting the algorithm each day. They found that continued interplay between the participant’s brain signals and the algorithm resulted in continuous improvements in performance over many days.
When the team reset the BCI algorithm after several weeks of continuous learning, the participant rapidly re-established the same patterns of neural activity required to control the device – effectively retraining the algorithm to its former state. “Once the user has established an enduring memory of the solution for controlling the interface, there’s no need for resetting,” says Ganguly. “The brain just rapidly convergences back to the same solution.”
The researchers next examined whether long-term CLDA could enable long-term stable performance without the need for retraining or recalibration – the so-called “plug-and-play” performance that could enable broader use of BCIs. They found that once expertise was established, the participant could simply begin using the BCI each day. His performance did not decline over 44 days without retraining, and he showed little performance decline after days without practicing.
At this stage, the participant was also able to “stack” additional skills, such as clicking a virtual button, without impacting his ability to control the cursor. To differentiate clicking from cursor control, the researchers trained a linear support vector machine (SVM). “One of the main innovations was the rate at which the Kalman filter and SVM parameters were adapted across days in order to track user learning and neural plasticity,” Ganguly notes.
Ganguly and colleagues conclude that by leveraging the stability of ECoG interfaces and neural plasticity, this approach offers reliable, stable BCI control. This stability may prove even more important for long-term control of more complex robotic systems such as artificial limbs – a key goal of the next phase of this research.
The team is now in the process of enrolling the next subject, says Ganguly. “We are also developing new approaches to increasing communication rates; this involves more sophisticated algorithms and using a denoised decoding of neural activity. And we are testing control of a six degrees-of-freedom robotic arm – we currently have a simulation in a physics engine,” he tells Physics World.
Researchers in the US and China have made the first silk hard drive using a technique called tip-enhanced near-field infrared nanolithography (TNINL). The device, which can store digital data with a density of 64 GB per square inch, is robust in the face of harsh conditions such as heat, moisture, gamma radiation or high magnetic fields. While a silk-based hard drive is unlikely to match the speed and storage capacity of state-of-the-art solid-state drives at the same cost, its unique set of features makes it promising for electronics that could be implanted in the body.
Lithography techniques are routinely used to make devices with optical storage densities as high as several hundred GB per square inch. However, it can be time-consuming to create small features with these methods, and it also requires costly and sophisticated fabrication procedures. Another drawback is that diffraction limits the resolution of conventional optical lithography to around half the wavelength of the illuminating light – roughly hundreds of nanometres for visible light. This makes further increases in storage density (beyond current industry standards) difficult to achieve.
Overcoming the diffraction limit with near-field light
An alternative technique known as scattering-type scanning near-field optical microscopy (s-SNOM) offers a possible solution. This technique gets around the diffraction limit because it depends on near-field light – that is, the component of light that “wraps around” surfaces – instead of the diffraction-prone far-field light (which propagates away from the structures that scatter it). Near-field light is already commonly used in nanoscience as a tool to fabricate, manipulate and characterize photosensitive structures. For example, researchers use so-called “evanescent” light fields for nanolithography of polymeric materials, and for processing nanoscale features in material surfaces when making optical nanodevices.
To make their silk drives, the researchers took silk extracted from silkworm cocoons and spin-coated a thin film of it (in the form of an aqueous solution) onto either a gold or a silicon substrate. They then created nanoscopic patterns in this film using an s-SNOM equipped with a mid-infrared laser light source. The frequency of the laser could be tuned between 1495 and 1790 cm–1, which covers the wavelengths at which silk proteins absorb light. By focusing the laser onto the sharp tip of an atomic force microscope placed near the silk surface, they were able to induce topological and/or phase changes in the silk film at roughly 30-nm length scales.
Information can be repeatedly written and erased
With these induced changes spaced 100 nm apart, the team achieved a data storage capacity equivalent to around 64 GB per square inch, Liu says. While the patterns thus created are robust to harsh conditions, the method nevertheless allows information to be repeatedly written onto and erased from the film.
The advantages of the technique are many, Liu tells Physics World. Thin silk films are easy to spin-coat onto various substrates, including curved and soft materials. Such films also offer two entirely different ways to read out the encoded data. The first option is to use straightforward AFM “mapping” in which topographic protrusions are recognized as “1s” while flat topographical features correspond to “0s”. The second, more innovative way is to use a laser readout technique that differs from conventional optical methods in that the spectroscopic information thus obtained is multi-coloured. What is more, by varying the laser’s writing power, the researchers demonstrated that they could achieve so-called “higher-dimensional” or greyscale data storage, where individual data points take on values other than a binary zero or one.
Finally, Liu notes that silk is an organic material that mixes and interfaces well with many biological systems, including biomarkers in blood. The information in these biomarkers could therefore be encoded and stably stored in a silk-based hard drive. Indeed, members of the team, who report their work in Nature Nanotechnology, now plan to integrate their silk drive with biological materials for bio-information storage applications. “We will be investigating body implantation in the near future as well,” Liu says.
A new photocatalyst sheet that uses light to convert carbon dioxide and water into a useful chemical fuel has been developed by Erwin Reisner and colleagues at the University of Cambridge. The device produces formic acid – a liquid fuel – with very few unwanted byproducts. With improvements to its conversion efficiency, the system could soon make an important contribution towards large-scale, carbon-neutral fuel production.
For billions of years, photosynthesis has provided living cells with an efficient way of using sunlight to convert carbon dioxide and water into chemical fuel. Recently, researchers have made strides towards practical technologies that exploit this process to generate carbon-neutral fuels. So far, however, these devices have often required sacrificial reagents to catalyse the oxidation of water – a key part of the photosynthesis process. This produces unwanted byproducts that need to be separated from the useful fuel, limiting the sustainability of the technology.
In their study, Reisner’s team developed a more sophisticated device that integrates two doped, light-absorbing semiconductor powders that are fixed onto a conductive layer of gold. In addition, a molecular, cobalt-based photocatalyst is embedded into the sheet.
Excess of electrons
When sunlight illuminates the sheet, electron-hole pairs are generated in both semiconductors. One of the semiconductors transfers electrons to the other via the gold layer, leaving behind an excess of positively charged holes. These holes can then be filled by electrons donated by water via an oxidation reaction that was enabled by the photocatalyst. Meanwhile, the excess of electrons in the other semiconductor causes carbon dioxide to undergo a reduction reaction to produce formate. This is a negative ion that can be used to make formic acid, which can be stored as a liquid.
The powders and catalyst comprising the device are easy and inexpensive to produce in large quantities and the role of water as an electron donor eliminates the need for wasteful oxidation-triggering reagents, significantly boosting the sustainability of the process. Although the team’s initial experiments yielded a low solar-to-formate conversion efficiency of just 0.08%, they demonstrated an extremely high formate selectivity of 97±3%, with very few unwanted by-products.
Reisner and colleagues achieved these results with a sheet area of 20 cm2, but believe it should be relatively easy to scale it up to several square metres – making it suitable for use on commercial solar farms. Since formate is a stable liquid fuel, it can easily be stored and transported, or converted into gaseous hydrogen fuel if necessary. Furthermore, the device is completely wireless and requires no external power, enhancing its sustainability even further.
The researchers will now aim to boost the conversion efficiency of their device to levels suitable for commercialization, by experimenting with a range of different photocatalysts. Through these improvements, the photocatalyst sheet could soon become suitable for practical, large-scale solar fuel production, which actively reduces levels of atmospheric carbon dioxide.
Experimental setup showing the two ultrafast silicon detectors used to determine the energy of clinical proton beams. (Courtesy: Anna Vignati)
Beam energy is a key parameter in particle therapy, defining the depth inside the patient at which the therapeutic radiation is deposited. Any deviations in energy will change the particle range, which could lead to tumour underdosage or overdose to normal structures, particularly for the increasingly prevalent pencil-beam scanning treatments.
A detector that can rapidly measure particle beam energy could prove invaluable. Such a device could be used for regular quality assurance (QA), to check beam energy during irradiation, or even to implement future adaptive dose delivery schemes employing fast energy modulation. With this in mind, researchers in Italy have developed a prototype detector that measures the time-of-flight (ToF) of protons to determine the beam energy.
To measure the energy, and thus the range, of a clinical proton beam, a detector must match the clinically acceptable range uncertainty, which is typically less than 1 mm at therapeutic proton energies. This corresponds to measurement accuracies ranging from about 0.5 MeV for 230 MeV protons to 1 MeV for 60 MeV protons. To achieve this, the researchers – from the University of Turin and INFN – created a detector from two thin ultrafast silicon detector (UFSD) sensors placed a specific distance apart along the beam direction.
“The main advantages of ultrafast silicon detectors over traditional silicon ones are excellent time resolution, reduced thickness, good signal-to-noise ratio and short signal duration,” explains first author Anna Vignati. “These features allow identification of single protons, even in beams of high intensity and irregular time structure. Thus, the number of protons needed to measure the beam energy with the required accuracy could be collected in a favourable timeframe (a few seconds) for QA checks in a proton therapy facility.”
Vignati and colleagues tested the prototype device on a clinical proton beam at the CNAO facility and reported their findings in Physics in Medicine & Biology. They performed ToF measurements at five clinical beam energies (58.9, 77.6, 103.5, 148.5 and 226.1 MeV, corresponding to water equivalent depths of between 30 and 320 mm). They measured each beam energy with the sensors positioned at four distances, from few centimetres up to roughly 1 m apart.
Anna Vignati (bottom left) and colleagues. (Courtesy: Anna Vignati)
The researchers calculated the ToF from the mean time difference between the coincident signals generated when a single proton crosses both sensors, minus a constant time offset related to signal routing. To determine the beam energy from these ToF measurements, they developed a model that accounts for energy loss in the sensors and in air, benchmarking it against Monte Carlo simulations.
The main error sources for this setup are the uncertainties in the distance between the sensors and the time offset. To minimize these uncertainties, the team developed a calibration method using 16 of the ToF measurements (excluding those at 103.5 MeV, which were used to test the calibration) and assuming the nominal energies at the isocentre as known quantities.
Comparing the measured energies with nominal beam energies revealed that, at the two largest sensor spacings (67 and 97 cm), deviations were less than 0.5 MeV for all five proton energies – compatible with the clinically acceptable measurement accuracy.
The detector also demonstrated short acquisition times. For a test with 97 cm detector spacing and a beam energy of 226.1 MeV, the researchers found that 6 s of irradiation at an intensity of 5×108 protons/s was sufficient to remain below the maximum acceptable ToF error (4 ps for sensors 1 m apart).
From a clinical stance, the most significant parameter is the corresponding range deviation in water. At 67 and 97 cm sensor spacing, the range discrepancies between measured and nominal beam energies were within 0.5 mm at lower energies and within 1 mm for the maximum energy, in compliance with clinical requirements.
The researchers conclude that UFSD silicon sensors can measure the energy of a clinical proton beam in a few seconds, with good accuracy and minimal beam perturbation. They note that their detector could find immediate application for daily QA. “With further improvements, our detector will be even compatible with use during treatment,” Vignati tells Physics World. “Indeed, properly exploiting the extremely reduced thickness of these sensors would minimize the beam perturbation, while reducing the acquisition dead time would allow measurements of similar sensitivity in a few milliseconds.”
To further improve the collection of coincident protons, the researchers have produced a dedicated sensor with appropriate segmentation of the active area. They have also developed a mechanical system that varies the distance between sensors with high accuracy, enabling a self-calibration process that no longer requires knowledge of the beam energy used for calibration. “This ensures that the same precision and sensitivity will be achieved in any clinical facility where the device will be used,” says Vignati.
IOP Publishing, which publishes Physics World, has announced it will introduce double-blind peer review on all of its wholly owned journals by the end of 2021. The publisher says the rollout will be phased, with some journals shifting to double blind by the end of 2020, followed by the full portfolio of IOP Publishing-owned journals by the end of 2021.
Journal publishing has traditionally operated using single-blind peer review, in which the reviewers of the paper know who has written the paper, but the authors do not know who has reviewed their paper. Double-blind peer review, on the other hand, is when both the reviewers and authors do not know who each other are.
We believe that double-blind peer review is a significant step in the right direction
Kim Eggleton
IOP publishes 96 journals, around half of which are published jointly with or on behalf of partner societies. Since 2017 the publisher has offered double-blind peer review as an option for authors on two of its journals: Materials Research Express and Biomedical Physics & Engineering Express. After a year, author uptake of the double-blind review option was around 20% on each journal, with many authors being positive about the move, noting it to be fairer than single-blind peer review. Since then three more IOP Publishing journals – New Journal of Physics, Plasma Research Express and Engineering Research Express – have begun offering authors a choice of double-blind peer review, with uptake as high as 35%.
“Impartial evaluation”
IOP Publishing says that the move to apply double blind across all of its wholly owned journals is part of the publisher’s “dedication to tackle the significant gender, racial and geographical under-representation in the scholarly publishing process”. It adds that double-blind peer review “has the potential to reduce bias with respect to gender, race, country of origin or affiliation which should lead to a more equitable system”. Double-blind will be the default option when submitting a paper, but authors have the option to remain under the single-blind model.
“We believe that keeping both the author and the reviewers anonymous will mean the research is judged more fairly, giving authors a better chance of impartial evaluation,” says Kim Eggleton, integrity and inclusion manager at IOP Publishing. “We believe that double-blind peer review is a significant step in the right direction – but it is by no means a panacea. There is a lot more work to be done.”
Indeed, Eggleton adds that publishers have an “influential role” to play in making academia more inclusive. “By doing our best to ensure peer review is objective, we can increase the proportions of under-represented groups that get published,” she adds. “That links to funding, to promotions, to participation on editorial boards – all of which bring about more diverse role models to inspire the next generation of researchers.”
Penny Gowland from the University of Nottingham in the UK, who is an advocate for double-blind, says she is “absolutely delighted” by the move and by IOP Publishing “for listening and leading on this”. She adds that this is a “great day for the integrity of the scientific method and it provides natural justice for all scientists”.
IOP Publishing recently carried out a survey to understand what motivates researchers to carry our peer review. You can read the full report here.