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New image sensor breaks optical limits

Imaging technology has transformed how we observe the universe—from mapping distant galaxies with radio telescope arrays to unlocking microscopic details inside living cells. Yet despite decades of innovation, a fundamental barrier has persisted: capturing high-resolution, wide-field images at optical wavelengths without cumbersome lenses or strict alignment constraints.

A new study by Guoan Zheng, a biomedical engineering professor and the director of the UConn Center for Biomedical and Bioengineering Innovation (CBBI), and his research team at the UConn College of Engineering, was published in Nature Communications, introducing a breakthrough solution that could redefine optical imaging across science, medicine, and industry.

“At the heart of this breakthrough is a longstanding technical problem,” said Zheng. “Synthetic aperture imaging—the method that allowed the Event Horizon Telescope to image a black hole—works by coherently combining measurements from multiple separated sensors to simulate a much larger imaging aperture.”

Heart-brain connection: International study reveals role of vagus nerve in keeping the heart young

The secret to a healthier and “younger” heart lies in the vagus nerve. A recent study coordinated by the Sant’Anna School of Advanced Studies in Pisa and published in Science Translational Medicine has shown that preserving bilateral cardiac vagal innervation is an anti-aging factor. In particular, the right cardiac vagus nerve emerges as a true guardian of cardiomyocyte health, helping to preserve the longevity of the heart independently of heart rate.

The study is characterized by a strongly multidisciplinary approach, integrating experimental medicine and bioengineering applied to cardiovascular research. Specifically, the research was led by the Translational Critical Care Unit (TrancriLab) of the Interdisciplinary Research Center Health Science, under the responsibility of Professor Vincenzo Lionetti, and by the laboratory of the Biorobotics Institute led by Professor Silvestro Micera, which contributed to the development of the bioabsorbable nerve conduit used to facilitate vagal regeneration.

The study involved a broad network of Italian and international institutions of excellence, including the Scuola Normale Superiore, the University of Pisa, the Fondazione Toscana G. Monasterio, the Institute of Clinical Physiology of the CNR, the University of Udine, GVM Care & Research, Al-Farabi Kazakh National University, the Leibniz Institute on Ageing in Jena and the École Polytechnique Fédérale de Lausanne.

Longevity in 2025: The Breakthroughs That Actually Mattered

This year quietly rewired how researchers think about aging, what truly predicts long-term health, and which biohacking ideas deserve serious attention versus skepticism. From brain aging to muscle strength, from AI-driven drug discovery to cooling hype around supplements, 2025 redrew the map of healthspan science.

Here’s the clear-eyed recap of what actually mattered.

Reining In a Chaotic Fluid

Fluid flows mimicking biological flows can be controlled in the lab using a feedback system, which could be useful in robotics and other technologies.

Ordinary fluids can flow when driven by pressure or gravity, but biological fluids, such as those inside cells, generate complex flows through internal sources of chemical energy. Flows of such “active fluids” could be extremely useful in robotics and other areas of engineering, but controlling them remains difficult. Now researchers have demonstrated a method of control that maintains a constant fluid speed despite changing conditions [1]. They hope that the approach can be used to stabilize active-matter flows in future technologies.

Life depends on biochemical processes that respond to many situations while maintaining fixed chemical conditions despite external and internal disruptions. Inspired by this impressive stability, researchers have been developing analogous artificial systems by assembling active fluids from key biochemical components akin to those inside cells. For example, they have created fluids that can generate their own bulk contractions or undergo spontaneous flows. Although these rudimentary designs mimic some features of living matter, researchers have so far failed to demonstrate techniques that keep properties such as fluid flow speeds stable over time.

Nanomotors drive protein network formation inside artificial cells

No one has yet created a fully functioning artificial cell. But a research team at Aarhus University has taken a step in that direction:

They have equipped artificial cells with tiny motors inspired by an unusual movement mechanism found in nature—specifically from the bacterium Listeria monocytogenes. The result: artificial cells that can form internal networks of protein filaments—a function otherwise unique to living cells.

The study is published in ACS Nano.

Advanced neuromorphic engineering approaches for restoring… : Regenerative Medicine Reports

Isting gap in neuromorphic engineering by mimicking biological neuron dynamics and realizing effective clinical applications to promote functional recovery and quality of life enhancement in patients with brain injury. The novel neuromorphic engineering approaches leverage the dynamic behavior of brain neurons, incorporating electronic circuits that emulate neuronal dynamics. A basic configuration involves a neural model designed to mimic the dynamics of a living neuron, with the potential to replace damaged brain tissue when implanted, thus restoring signal propagation. An enhanced configuration integrates a closed-loop system, wherein the feedback signal from biological neurons synchronizes the artificial neuron with its living counterpart, allowing continuous self-adjustment of system parameters and promoting a neuro-autogenerative regime.

DNA will replace hard drives as data storage in the future

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Chris Mason is a professor of genomics, physiology, and biophysics at Cornell, doing research on the long-term effects of space on the human body. He is the author of The Next 500 Years: Engineering Life to Reach New Worlds.

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How to build a genome: Scientists release troubleshooting manual for synthetic life

Leading synthetic biologists have shared hard-won lessons from their decade-long quest to build the world’s first synthetic eukaryotic genome in a Nature Biotechnology paper. Their insights could accelerate development of the next generation of engineered organisms, from climate-resilient crops to custom-built cell factories.

“We’ve assembled a comprehensive overview of the literature on how to build a lifeform where we review what went right—but also what went wrong,” says Dr. Paige Erpf, lead author of the paper and postdoctoral researcher at Macquarie University’s School of Natural Sciences and the Australian Research Council (ARC) Center of Excellence in Synthetic Biology.

The Synthetic Yeast Genome Project (Sc2.0) involved a large, evolving global consortium of 200-plus researchers from more than ten institutions, who jointly set out to redesign and chemically synthesize all 16 chromosomes of baker’s yeast from scratch. Macquarie University contributed to the synthesis of two of these chromosomes, comprising around 12% of the project overall.

Molecular basis for de novo thymus regeneration in a vertebrate, the axolotl

In humans, the loss of thymic function through thymectomy, environmental challenges, or age-dependent involution is associated with increased mortality, inflammaging, and higher risk of cancer and autoimmune disease (1). This is largely due to a decline in the intrathymic naïve T cell pool, whose generation is orchestrated by the thymic stroma, particularly thymic epithelial cells (TECs) (2). Upon challenges that affect the TEC compartment, the thymus is capable of triggering an endogenous regenerative response by engaging resident epithelial progenitors with stem cell features (35). Yet, after age-related atrophy or thymectomy resulting from myasthenia gravis or tumor removal (1), this regenerative response is unable to overcome the loss of thymic tissue, highlighting the need for therapeutic interventions.

The restoration of thymic functionality has been achieved to a limited extent via strategies targeting the thymic epithelial microenvironment or hematopoietic progenitors, modulating hormones and metabolism, or through cellular therapies and bioengineering (6). In mice, the up-regulation of Foxn1, a key transcription factor for thymus development and organogenesis (7), either directly or via its upstream effector bone morphogenetic protein 4 (BMP4), can support activity of cortical TECs (cTECs) (8, 9). Further, a combination of growth hormone and metformin has been shown to restore thymic functional mass in humans (10). Nevertheless, such strategies only lead to delayed thymic involution, and examples of complete thymus regeneration have not yet been described among vertebrates.

Because of its remarkable regenerative abilities that extend to parts of the brain, eye, heart, and spinal cord, and even entire limbs, the axolotl (Ambystoma mexicanum) is a powerful model for regeneration studies (11). The axolotl has offered insights into the mechanisms of positional identity (12), cell plasticity (13, 14), and the molecular basis of complex regeneration (1518). The regeneration of axolotl body parts relies on remnants of the missing structure, with the exception of lens tissue, which can regrow from dorsal pigmented epithelial cells during a short window during development (19). However, whether de novo regeneration can occur for an entire complex organ, in axolotls or any other vertebrate, is unknown.

Unified EEG imaging improves mapping for epilepsy surgery

A new advance from Carnegie Mellon University researchers could reshape how clinicians identify the brain regions responsible for drug-resistant epilepsy. Surgery can be a life-changing option for millions of epilepsy patients worldwide, but only if physicians can accurately locate the epileptogenic zone, the area where seizures originate.

Bin He, professor of biomedical engineering, and his team have developed a unified, machine learning-based approach called spatial-temporal-spectral imaging (STSI) to assist. It is the first technology capable of analyzing every major type of epileptic brain signal within a single computational framework.

Their work, published in PNAS, presents a technical breakthrough and promising new direction for noninvasive presurgical planning.

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