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Framework sets new benchmarks for 3D atom maps in amorphous materials

Researchers at the California NanoSystems Institute at UCLA published a step-by-step framework for determining the three-dimensional positions and elemental identities of atoms in amorphous materials. These solids, such as glass, lack the repeating atomic patterns seen in a crystal. The team analyzed realistically simulated electron-microscope data and tested how each step affected accuracy.

The team used algorithms to analyze rigorously simulated imaging data of nanoparticles—so small they’re measured in billionths of a meter. For amorphous silica, the primary component of glass, they demonstrated 100% accuracy in mapping the three-dimensional positions of the constituent silicon and oxygen atoms, with precision about seven trillionths of a meter under favorable imaging conditions.

While 3D atomic structure determination has a history of more than a century, its application has been limited to crystal structures. Such techniques depend on averaging a pattern that is repeated trillions of times.

We do not discover reality, we create it

We tend to think reality is out there waiting to be discovered. But philosopher Manuel Delaflor argues that experience, meaning, and ontology are active constructions, not passive receptions of a knowable world. Once we see that categories are created, not discovered, realism gives way to responsibility, and the question shifts from what reality is, to what reality are we choosing to create.

My sister is a graphic designer, someone who has spent two decades swimming in colour palettes. She once laid out some blues on her screen and asked me to name them. Azure, cerulean, cobalt, sapphire, she rattled off, pointing at squares I could only call “blue.” To her, they were as different as a dog and a horse. Her visual system had carved the continuous spectrum into slices mine simply could not access. That moment has stayed with me. If her blues are not my blues, and if training made the difference, then what else have I been missing? What categories do we walk around believing we discovered in the world, when in fact we manufactured them ourselves, through language, through habit, through purpose? And if this is true of something as basic as colour, what does it mean for everything else we think we see?

We tell ourselves a flattering story: out there is a world, pre-sorted into kinds, and our job is to discover those kinds. Rocks as rocks. Faces as faces. Colours sit waiting in the spectrum like crayons in a box. This is the myth of discovery, and it runs so deep we rarely notice it. It feels grounded, and we need grounding. It feels like the opposite of arrogance. Right? But examine it closely and the story collapses. I give you a hint on the reason: when something makes sense, it never means it is right. It means it clicks into place inside your existing maps. And that is why when we go around pretending to be certain about what “makes sense” is the easiest form of self-deception.

Hubble Images of 3I/ATLAS During Its Rare Alignment with the Sun-Earth Axis on January 22, 2026

Good news. The rare cosmic alignment between the interstellar visitor 3I/ATLAS, the Earth and the Sun, was captured by the Hubble Space Telescope on January 22, 2026.

A new set of six 170 second exposures, taken by the Hubble Space Telescope between 13:10:30 and 13:43:33 UTC on January 22, 2026, were just posted here. The exposures display brightness maps of the glowing halo surrounding 3I/ATLAS. The glow is elongated by about 100,000 kilometers in the direction of the Sun, a length scale which is about ten times larger than the Earth’s diameter.

In a new paper that I published with Mauro Barbieri here, we alerted astronomers to this “full Moon phase” of 3I/ATLAS when observers from Earth will see it from the direction of the Sun to within an extremely small misalignment angle of just 0.012 radians. This rare alignment resulted in a brightness surge whose magnitude and growth rate are dictated by the composition and structure of the particles shed by jets of 3I/ATLAS. No new data other than the Hubble images was made public as of yet.

An ultrastructural map of a spinal sensorimotor circuit reveals the potential of astroglia modulation

Using cell reconstructions and synapse mapping in zebrafish, Koh and Avalos Arceo et. al. reveal a vertebrate local spinal sensorimotor circuit map, revealing how neurons and glia are structurally positioned in a circuit. This resource provides insight into how glia and synaptic thresholding could modulate information flow through complex neural networks.

A “living fossil”: for the first time, divers from France capture rare images of an emblematic species in the waters of Indonesia

The encounter, deep beneath the surface of Indonesia’s Maluku Islands, did not just produce striking images. It opened a rare window on one of the ocean’s most mysterious creatures: the coelacanth, a fish once written off as extinct for millions of years.

In October 2024, French divers Alexis Chappuis and Julien Leblond descended to around 145 metres off the Maluku archipelago, in eastern Indonesia. They were using advanced rebreather systems and specialised suits designed for long, deep technical dives.

For two years, Chappuis had been poring over charts and sonar data, mapping underwater cliffs and cold upwellings that might harbour coelacanths. The terrain he targeted was steep, fragmented rock riddled with ledges and crevices, a layout similar to known coelacanth habitats in other parts of the Indian Ocean.

Vibrational spectroscopy technique enables nanoscale mapping of molecular orientation at surfaces

Sum-frequency generation (SFG) is a powerful vibrational spectroscopy that can selectively probe molecular structures at surfaces and interfaces, but its spatial resolution has been limited to the micrometer scale by the diffraction limit of light.

In a study published in The Journal of Physical Chemistry C, investigators overcame this limitation by utilizing a highly confined near field within a plasmonic nanogap and successfully extended the SFG spectroscopy into a nanoscopic regime with ~10-nm spatial resolution.

The team also established a comprehensive theoretical framework that accurately describes the microscopic mechanisms of this near-field SFG process. These experimental and theoretical achievements collectively represent a groundbreaking advancement in near-field second-order nonlinear nanospectroscopy, enabling direct access to correlated chemical and topographic information of interfacial molecular systems at the nanoscale.

“Evolution and Intelligence: inversion and a positive feedback spiral” by Michael Levin

This is a ~50 minute video on evolution from the perspective of diverse intelligence. I discuss 3 main things: the nature of the mapping between genotype and phenotype (an intelligent, problem-solving process that interprets genomic prompts, not simply a complex mechanical mapping), the implications for evolution of operating over such a multi-scale agential material, and a few recent findings about the origin of the intelligence spiral taking place before differential replication dynamics kick in.

Editing by https://twitter.com/DNAMediaEditing

SPHEREx Images and a New Anomaly Regarding the Gas Plume Around 3I/ATLAS After Perihelion

A new paper led by Carey Lisse (accessible here) reports large-scale images of the gas plume around the interstellar object 3I/ATLAS after perihelion, based on data collected last month by the SPHEREx space observatory. The data show enhanced mass loss of dust and gas around 3I/ATLAS.

The new images of 3I/ATLAS were taken in the wavelength range of 0.75–5.0 microns between the 8 and 15 of December, 2025. Each image spans 30,000 kilometers on a side. On these large scales, the brightness maps of dust and organics were found to be pear-shaped, with an anti-tail elongation in the direction of the Sun. All six other gas plumes were found to be nearly round. The major gas species were identified as: cyanide (CN, at a wavelength of 0.93 microns), water (H2O, in the wavelength range of 2.7–2.8 microns), Organics (C-H, between 3.2–3.6 microns), carbon-dioxide (CO2, 4.2–4.3 microns), and carbon-monoxide (CO, 4.7–4.8 microns). The CO2 gas-plume continues to extend out to a few hundreds of thousands of kilometers. The dust spectrum can be described as the sum of scattered sunlight and thermal emission.

Most notably, the signature of sub-micron dust particles that would have enhanced the blue color via Rayleigh scattering are absent. Moreover, these small particles would have also been subjected to a strong solar radiation-pressure and would have formed the standard cometary tail, extending away from the Sun — which is not observed — as I argued in an essay, posted here on December 25, 2026.

Mathematics uncovers shifting brain connectivity in autism and aging

It is a central question in neuroscience to understand how different regions of the brain interact, how strongly they “talk” to each other. Researchers from the Max Planck Institute for Mathematics in the Sciences Leipzig, Germany, the Institute of Mathematical Sciences in Chennai, India, and colleagues demonstrate how mathematical techniques from topological data analysis (TDA) can provide a new, multiscale perspective on brain connectivity. The study was published in the journal Patterns.

With the rise of large neuroimaging datasets, scientists now work with detailed maps of brain connectivity—network representations that show how hundreds of brain regions fluctuate and coordinate their activity over time. But making sense of these enormous networks poses a challenge: What patterns matter? Which changes signal healthy aging, and which reflect differences associated with autism spectrum disorder (ASD)?

The study introduces a mathematical innovation that helps answer precisely these questions. Researchers applied persistent homology, a tool from topological data analysis (TDA), to detect how brain connectivity reorganizes during healthy aging and in ASD.

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