Best-Ever Brainstem Map Created By Indian Scientists

The elusive brainstem is a small, yet critical part of our brain: the slightest damage to it could prove fatal. But how it works is not fully understood today. Indian Scientists at SGBC (Sudha Gopalakrishnan Brain Centre) work to change that by producing the most detailed map of it ever seen.

Instead of more costly methods, this map was created with a high-resolution microscope. Starting with three samples, (45W fetus, 9Y and 54Y) the brain stems were imaged using MRI and BFI (Block Face Imaging), then sliced into 20/40µm pieces, imaged, annotated using in-house software and added to the dataset. From a combination of these images, MRI and BFI scans, they created a 3D model of the brainstem that you can explore in your browser.

The new research gives vital data needed for neurological research, and could help advance research on a wide range neurological diseases from Parkinson’s to Alzheimer’s.
You can find the paper here, which has not yet been peer reviewed at time of writing.

Via BBC.

De-Aging Human Tissue Using Special Enzyme To Remove AGEs

With human bodies being bags of mostly salty water and countless messy biochemical processes, it’s little wonder that over time some residues tend to collect in these systems. Although evolution has seen fit to also evolve a range of mechanisms to clean up many of those messes, some of these waste products are left to gather, such as advanced glycation end-products (AGEs). Implicated in everything from diabetes to chronic kidney disease and general aging-related conditions, recently researchers have developed a way to break down one type of these AGEs.

Called N(6)-Carboxymethyllysine (CML), there is evidence to suggest that the presence of AGEs like it in the extracellular matrix (ECM) has damaging effects on the ECM’s functioning, as observed in e.g. the inhibiting of collagen crosslinking and the resulting ‘aging’ of skin among other tissues. Essentially these waste product jam up the normal biochemical machinery, while also triggering pro-inflammatory factors.

Beyond aging-related conditions, this can result in a whole range of other diseases that may be resolved if these waste products could be cleaned out. To this end [Narisa Trabosh] et al. of the San Francisco-based Revel Pharmaceuticals laboratory created CMLase, an enzyme that breaks down CML.

Arterial tissue treated with the CMLase enzyme shows a clear difference. (Credit: Trabosh et al., Nature communications, 2026)
Arterial tissue treated with the CMLase enzyme shows a clear difference. (Credit: Trabosh et al., Nature communications, 2026)

The challenge here was to design this enzyme, which used a genetic selection approach in modified E. coli to narrow down suitable enzymes, optimized for dealing with free CML. Once they were fairly confident that they had a working enzyme, they had to test it and observe the results.

This testing was performed in model proteins in vitro, as well as in tissue samples from elderly donors. These latter included lens, skin and arterial tissue, all of which are long-lived tissues that have plenty of time to collect CML. After treatment with CMLase the presence of CML in these tissues was reduced by 55% for skin and 75% for arterial tissue.

Of course, as also noted in the article these are ex vivo experiments that do not yet directly translate to living patients. An initial human trial would need to show safety above all, even if the amount of waste produced by the clean-up of CML won’t be that significant.

Subsequent trials would need to demonstrate that such removal of CML leads to healthier tissues, which if confirmed would open the path for other pathogenic AGEs to get their own matching enzyme.

Demonstrating Gray Codes With Industrial Display

Many people base huge swaths of their lives on foundational philosophical texts, yet few have read them in their entirety. The one that springs to the forefront of many of our minds is The Art of Computer Programming by Donald Knuth. Full of many clever and outright revolutionary algorithms and new ways of thinking about how computers work, [Attoparsec] has been attempting to read this tome from cover to cover, and has found some interesting tidbits. One of those is the various algorithms around Gray Codes, and he built this device as a visual aid.

Gray Codes, otherwise known as reflected binary, is a way of ordering an arbitrarily large set of binary values so that only one bit changes between any two of them. The most common place these are utilized is in things like rotary encoders, where it provides better assurance that the position of a shaft is in a known location. To demonstrate this in a more visual way [Attoparsec] hooked up an industrial signal light, normally used for communicating the status of machinery in a factory, and then programmed it to display the various codes. A standard binary counter is used as a reference, and it can also display standard Gray Code as well as a number of other algorithms used for solving similar problems.

[Attoparsec] built this as an interactive display for the Open Sauce festival in San Francisco. To that end it needed to be fairly rugged, so he built it out of old industrial equipment, which is also a fitting theme for the light itself. There’s also a speed controller and an emergency stop button which also add to the motif. For a deeper dive on Gray Codes and their uses, take a look at this feature from a few years back.

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Precision, Imprecision, Intellectual Honesty, And Little Green Men

If you’ve been following the hubbub about 3I/ATLAS, you’re probably either in the camp that thinks it’s just a comet from ridiculously far away that’s managed to find its way into our solar system, or you’re preparing for an alien invasion. (Lukewarm take: it’s just a fast moving comet.) But that doesn’t stop it from being interesting – its relatively fast speed and odd trajectory make astronomers wonder where it’s coming from, and give us clues about how old it is likely to be.

Astronomy is the odd-man-out in the natural sciences. In most branches of physics, chemistry, and even biology, you can run experiments. Even those non-experimental corners of the above fields, like botany, for instance, you can get your hands on the objects you’re talking about. Not so astronomy. When I was studying in college, one of my professors quipped that astronomers were pretty happy when they could hammer down a value within an order of magnitude, and ecstatic when they could get a factor of two or three. The deck is simply stacked against them.

With that background, I love two recent papers about 3I/ATLAS. The first tries to figure out why it’s moving so fast by figuring out if it’s been going that fast since its sun kicked it out, or if it has picked up a gravitational boost along the way. While they can’t go all the way back in time, they’ve worked out whether it has flown by anything close enough to get a significant boost over the last 10 million years. This is impressive that we can calculate the trajectory so far back, but at the same time, 10 million years is peanuts on the cosmic timescale.

According to another paper, there is a weak relationship between interstellar objects’ age and their velocity, with faster-moving rocks being older, they can estimate the age of 3I/ATLAS at between 7.6 and 14 billion years old, assuming no gravitational boosts along the way. While an age range of 7 billion years may seem like a lot, that’s only a factor of two. A winner for astronomy!

Snarkiness aside, its old age does make a testable prediction, namely that it should be relatively full of water ice. So as 3I/ATLAS comes closer to the sun in the next few weeks, we’ll either see it spitting off lots of water vapor, and the age prediction checks out, or we won’t, and they’ll need to figure out why.

Whatever happens, I appreciate how astronomers aren’t afraid to outline what they can’t know – orbital dynamics further back than a certain date, or the precise age of rocks based solely on their velocity. Most have also been cautious about calling the comet a spaceship. On the other hand, if it is, one thing’s for sure: after a longer-than-10-million-year road trip, whoever is on board that thing is going to be hungry.

Floating Buoy Measures Ocean Conditions

Out on Maui, [rabbitcreek] desired to keep track of local ocean conditions. The easiest way to do that was by having something out there in the water to measure them. Thus, they created a floating ocean sensor that could report back on what’s going on in the water.

The build uses a Xiao ESP32-S3 as the brains of the operation. It’s paired with a Wio-SX1262 radio kit, which sends LoRa signals over longer distances than is practical with the ESP32’s onboard WiFi and Bluetooth connections. The microcontroller is hooked up with a one-wire temperature sensor, a DF Robot turbidity sensor, and an MPU6050 gyroscope and accelerometer, which allow it to measure the water’s condition and the motion of the waves. The whole sensor package is wrapped up inside a 3D printed housing, with the rest of the electronics in a waterproof Pelican case.

It’s a neat project that combines a bunch of off-the-shelf components to do something useful. [rabbitcreek] notes that the data would be even more useful with a grid of such sensors all contributing to a larger dataset for further analysis. We’ve seen similar citizen science projects executed nicely before, too. If you’ve been doing your own ocean science, don’t hesitate to let us know what you’re up to on the tipsline!

Could Space Radiation Mutate Seeds For The Benefit Of Humanity?

Humans have forever been using all manner of techniques to better secure the food we need to sustain our lives. The practice of agriculture is intimately tied to the development of society, while techniques like selective breeding and animal husbandry have seen our plants and livestock deliver greater and more nourishing bounty as the millennia have gone by. More recently, more direct tools of genetic engineering have risen to prominence, further allowing us to tinker with our crops to make them do more of what we want.

Recently, however, scientists have been pursuing a bold new technique. Researchers have explored using radiation from space to potentially create greater crops to feed more of us than ever.

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Measurement Is Science

I was watching Ben Krasnow making iron nitride permanent magnets and was struck by the fact that about half of the video was about making a magnetometer – a device for measuring and characterizing the magnet that he’d just made. This is really the difference between doing science and just messing around: if you want to test or improve on a procedure, you have to be able to measure how well it works.

When he puts his home-made magnet into the device, Ben finds out that he’s made a basically mediocre magnet, compared with samples out of his amply stocked magnet drawer. But that’s a great first data point, and more importantly, the magnetometer build gives him a way of gauging future improvements.

Of course there’s a time and a place for “good enough is good enough”, and you can easily spend more time building the measurement apparatus for a particular project than simply running the experiment, but that’s not science. Have you ever gone down the measurement rabbit hole, spending more time validating or characterizing the effect than you do on producing it in the first place?