These small particles that look like dust to the naked eye are highly detailed and can be customized to suit a wide variety of needs ranging from microfluidics to vaccine delivery and even microelectronics, a press release has said.
3D printing or additive manufacturing at a macroscale level has matured at the market level, where items like shoes, hearing aids, and even household goods can be made using this technique.
A new type of solar cell made using selenium and silicon could offer a cost advantage while also delivering energy conversion efficiency.
The results highlight the potential of using whole liver perfusion systems to evaluate early stage AAV-based therapies.
“Viruses, infections, and pandemics have become recurrent features in our lives, profoundly impacting human existence and even extending their reach to animals. Despite this, accessible, rapid, and affordable virus detection methods have been lacking,” said Xingcai Zhang, PhD, researcher, Harvard University, told GEN. “Our study aims to visualize viral infection states, predict infection duration, unravel the infection process, explore inhibition methods, and contribute to understanding viral disease transmission and pathogenesis.”
Viral infection of cells causes stress resulting in cell morphology differences over time. This study leveraged those known morphological changes to discern between infected and non-infected cells in culture. The standard practice for identifying infected cells, the methyl thiazolyl tetrazolium (MTT) assay, requires the use of reagent treatments and chemical reactions which can take upwards of 40 hours per sample, which is destroyed in the process.
The method proposed in this paper uses a lensless light diffraction platform to detect diffraction patterns, which can be used to extract information such as contrast and inverse differential moment which are used to create diffraction fingerprints. The fingerprints can be monitored continuously in the same samples as there is no inherent damage to cells.
Joint research led by Yu Toyoshima and Yuichi Iino of the University of Tokyo has demonstrated individual differences in, and successfully extracted commonalities from, the whole-brain activity of roundworms. The researchers also found that computer simulations based on the whole-brain activity of roundworms more accurately reflect real-brain activity when they include so-called “noise,” or probabilistic elements. The findings were published in the journal PLOS Computational Biology.
The roundworm Caenorhabditis elegans is a favorite among neuroscientists because its 302 neurons are completely mapped. This gives a fantastic opportunity to reveal their neural mechanism at a systems level. Thus far, scientists have been making progress in revealing the different states and patterns of each neuron and the assemblies they form. However, how these states and patterns are generated has been a less explored frontier.
First, the team of scientists measured the neural activity of each cell that makes up a primitive brain in the roundworms’ head area. To achieve this, the worms were placed in a microfluidic chip, a tiny device designed for worms to be able to “wiggle” backward and forward while keeping them within the field of view of the objective lens. Then, using a confocal microscope, the scientists filmed how the neurons reacted to changes in salt concentrations.
A person who lost their uterus to cancer, for example, could have an embryo created in the lab, like in IVF, but implant it in an artificial womb for gestation, rather than using a human surrogate, which is an ethically fraught practice.
By eliminating the need for surrogacy, artificial wombs could also make it easier for gay couples to have biological children. Further on the horizon, if scientists can replicate their success creating embryos from the DNA of same-sex mice in people, any two people might one day be able to have biological children related to both of them.
Artificial wombs would fill in the critical gap between IVF and incubators. They don’t yet exist outside of science fiction, but they’re getting closer to reality.
Waabi says its new model can anticipate how pedestrians, trucks, and bicyclists move using lidar data.
Last summer, Breakthrough Energy, Google Research, and American Airlines announced some promising results from a research collaboration, as first reported in the New York Times. They employed satellite imagery, weather data, software models, and AI prediction tools to steer pilots over or under areas where their planes would be likely to produce contrails. American Airlines used these tools in 70 test flights over six months, and subsequent satellite data indicated that they reduced the total length of contrails by 54%, relative to flights that weren’t rerouted.
There would, of course, be costs to implementing such a strategy. It generally requires more fuel to steer clear of these areas, which also means the flights would produce more greenhouse-gas emissions (more on that wrinkle in a moment).
More fuel also means greater expenses, and airlines aren’t likely to voluntarily implement such measures if it’s not relatively affordable.
AI is expanding across the continent and new policies are taking shape. But poor digital infrastructure and regulatory bottlenecks could slow adoption.
Pilot season has officially begun for the world of humanoid robotics. Last year, Amazon began testing Agility’s Digit robots in select fulfillment centers, while this January, Figure announced a deal with BMW. Now Apptronik is getting in on the action, courtesy of a partnership with Mercedes-Benz.
According to the Austin-based robotics startup, “as part of the agreement Apptronik and Mercedes-Benz will collaborate on identifying applications for highly advanced robotics in Mercedes-Benz Manufacturing.” Specific figures have not been disclosed, as is customary for these sorts of deals. Generally, the actual number of systems included in a pilot are fairly small — understandably so, given the early nature of the technology.
Even so, these deals are regarded as a win-win for both parties. Apptronik can demonstrate clear interest from a leading automotive name, while Mercedes signals to customers and shareholders alike that it’s looking to the future. What comes next is what really matters. Should the pilot go well, causing the carmaker to put in a big order, that would be a massive feather in Apptronik’s cap — and the industry at large.