Firefly-inspired fiber sensor turns optical cables into smart sensing networks
Peer-Reviewed Publication
Updates every hour. Last Updated: 25-Oct-2026 16:15 ET (25-Oct-2026 20:15 GMT/UTC)
Inspired by firefly bioluminescence, scientists have created a flexible fiber sensor that converts electrical sensing signals into optical signals directly on the fiber itself. The ESOT FiSensor simultaneously detects vibration, pressure, temperature and strain through a single optical fiber, transmitting data over long distances with complete immunity to electromagnetic interference — far surpassing traditional sensors.
A one-pot POM-directed interfacial assembly strategy enables anisotropy-tunable mesoporous polydopamine nanomotors with integrated antibacterial functionality. By regulating emulsion interfaces, POMs program open hollow architectures and confer intrinsic activity, while Pt loading drives self-propulsion. The resulting nanomotors, with high drug-loading capacity, actively penetrate drug-resistant Staphylococcus aureus biofilms and achieve near-complete eradication, offering a versatile platform for intelligent antibacterial therapy.
A new study published in Science China Life Sciences reports that Buyang Huanwu Decoction, a traditional Chinese medicine formula, improved motor recovery and reduced acute inflammation in a mouse model of spinal cord injury. The study suggests that its protective effects may be linked to the suppression of microglial activation and the regulation of the complement and coagulation cascades.
Freestanding oxide membranes are promising platforms for flexible electronics, sensors, and heterogeneous device integration, but cracks and wrinkles formed during release and transfer can compromise their performance and reliability. Researchers at the University of Science and Technology of China have developed a lock-in thermography-based method that converts these hidden structural imperfections into characteristic thermal signatures. The approach enables rapid, wide-area inspection of conductive oxide membranes and provides semi-quantitative information on crack size, crack orientation, and wrinkle morphology.
CardioNVT is an end-to-end deep learning platform for rapid, immunostaining-free assessment of cardiomyocyte nuclear ploidy in situ. Using only DAPI-stained heart sections, it segments cardiomyocyte nuclei, tracks them across z-stack planes, reconstructs 3D nuclear volumes, and infers ploidy from volume measurements, enabling scalable studies of cardiac development, remodeling, and repair.