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Bioimaging device with nonmechanical design could improve eye and heart condition detection

If you’ve been to a routine eye exam at the optometrist’s office, chances are you’ve had to place your chin and forehead up close to a bioimaging device.

It’s known as (OCT), and it’s widely used in eye clinics around the world. OCT uses to take high-resolution, cross-sectional images of the retina in a noninvasive manner. These images can be essential for diagnosing and monitoring eye conditions.

In any bioimaging—either retinal or in-vivo imaging that takes place inside the human body—devices must be quite small and compact to produce high-quality images. However, mechanical aspects of OCT devices, like spinning mirrors, can increase the chance of device failure.

Graphene in Focus: Keeping Up to Date with Advances in Research

Graphene is a two-dimensional material composed of a single layer of carbon atoms arranged in a hexagonal lattice. Its first discovery was so astonishing because, despite its atomic-scale thickness, graphene exhibits exceptional mechanical strength, approximately 200 times greater than steel.

It also has high electrical and thermal conductivity and a very high theoretical surface area of approximately 2,630 m2/g, which means it can easily be functionalized, broadening its scope.

These properties make graphene suitable for applications in quantum electronics, biomedicine, sustainable construction, and energy storage.


Graphene’s role in technology is expanding, offering solutions for energy storage, cancer therapy, and sustainable construction through innovative research.

Maternal microbes play a significant role in shaping early brain development, study suggests

Research from Michigan State University finds that microbes play an important role in shaping early brain development, specifically in a key brain region that controls stress, social behavior, and vital body functions.

The study, published in Hormones and Behavior, used a to highlight how natural microbial exposure not only impacts immediately after birth but may even begin influencing development while still in the womb. A mouse model was chosen because mice share significant biological and behavioral similarities with humans and there are no other alternatives to study the role of on brain development.

This work is of significance because modern obstetric practices, like peripartum and Cesarean delivery, disrupt maternal microbes. In the United States alone, 40% of women receive antibiotics around childbirth and one-third of all births occur via Cesarean section.

Scientists Identify How Young Blood Reverses Aging in Human Skin Cells

The idea of taking blood from the young to rejuvenate the elderly is getting an increasing amount of attention from scientists, and a new study has shown how some of the youthful properties of our skin can be restored with this kind of blood swap.

A special 3D human skin model was set up in the lab by researchers, who then tested the effects of young blood serum on the skin cells. By itself, the serum had no effect, but when bone marrow cells were added to the experiment, anti-aging signals were detected in the skin.

It appears that the young blood serum interacts with the bone marrow cells in specific ways to roll back time in skin cells. The study was led by scientists from Beiersdorf AG, a skin care company in Germany, who say their findings have huge potential in helping us understand anti-aging mechanisms.

Expansion in situ genome sequencing links nuclear abnormalities to aberrant chromatin regulation

Great paper which combines expansion microscopy and in situ genome sequencing to map chromatin structure and selected protein targets in cellular nuclei. ExIGS was then used to explore how lamin protein and genome organization within nuclei changes during aging. #systemsbiology


Microscopy and genomics are used to characterize cell function, but approaches to connect the two types of information are lacking, particularly at subnuclear resolution. Here, we describe expansion in situ genome sequencing (ExIGS), a technology that enables sequencing of genomic DNA and super-resolution localization of nuclear proteins in single cells. Applying ExIGS to progeria-derived fibroblasts revealed that lamin abnormalities are linked to hotspots of aberrant chromatin regulation that may erode cell identity. Lamin was found to generally repress transcription, suggesting that variation in nuclear morphology may affect gene regulation across tissues and aged cells. These results demonstrate that ExIGS may serve as a generalizable platform with which to link nuclear abnormalities to gene regulation, offering insights into disease mechanisms.

Brain cells learn faster than machine learning, research reveals

Researchers have demonstrated that brain cells learn faster and carry out complex networking more effectively than machine learning by comparing how both a Synthetic Biological Intelligence (SBI) system known as “DishBrain” and state-of-the-art RL (reinforcement learning) algorithms react to certain stimuli.

The study, “Dynamic Network Plasticity and Sample Efficiency in Biological Neural Cultures: A Comparative Study with Deep Reinforcement Learning,” published in Cyborg and Bionic Systems, is the first known of its kind.

The research was led by Cortical Labs, the Melbourne-based startup which created the world’s first commercial biological computer, the CL1. The CL1, through which the research was conducted, fuses lab-cultivated neurons from human stem cells with hard silicon to create a more advanced and sustainable form of AI, known as SBI.

AI-Engineered Hydrogels Achieve Instant and Powerful Underwater Adhesion

Underwater adhesives have long posed a challenge to materials scientists, with few solutions capable of delivering instant, strong, and repeatable adhesion in challenging marine and biomedical environments. Now, a team of researchers has leveraged machine learning (ML) and data mining (DM) —inspired by natural adhesive proteins—to engineer next-generation super-adhesive hydrogels that work instantly underwater.

Published in Nature, the study introduces an end-to-end data-driven framework that starts with protein sequence extraction and ends with a scalable hydrogel synthesis method. The results are materials that can seal high-pressure leaks, attach securely to rough, wet surfaces, and even function in living tissue.

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