Seeing the unseen: Scientists demonstrate dual-mode color generation from invisible light
Peer-Reviewed Publication
Updates every hour. Last Updated: 10-Jun-2026 02:16 ET (10-Jun-2026 06:16 GMT/UTC)
Ultraviolet and near-infrared light are widely used in modern technologies but are invisible to the human eye. Researchers from Japan have developed an organic crystal that converts these invisible wavelengths into visible red and green light. Remarkably, the two colors arise from different physical processes coexisting within a single crystal. This dual-mode optical response provides a better understanding of molecular design and crystal packing, opening new possibilities for optical sensing and photonic technologies.
A recent study, led by the Center for Astrobiology (CAB), CSIC-INTA and using modelling techniques developed at the University of Oxford, has uncovered an unprecedented richness of small organic molecules in the deeply obscured nucleus of a nearby galaxy, thanks to observations made with the James Webb Space Telescope (JWST). The work, published in Nature Astronomy, provides new insights into how complex organic molecules and carbon are processed in some of the most extreme environments in the Universe.
MIT researchers built a complete model of pedestrian activity in New York City, the first such comprehensive effort for any U.S. city. The model could help planners decide where to invest in pedestrian infrastructure and public spaces, and illuminate how development decisions affect foot traffic.
Researchers from King Abdullah University of Science and Technology (KAUST) have developed deepBlastoid, the first deep-learning platform specifically designed for the high-throughput, automated classification of human stem cell-derived embryo models (blastoids). By leveraging a ResNet-18 architecture and a novel Confidence Rate metric, the model achieves up to 97% accuracy and processes images 1,000 times faster than human experts. This tool facilitates large-scale drug screening and basic research into early human development by providing a standardized, objective evaluation framework.
Three-dimensional cancer organoids and spheroids are powerful models for studying tumor biology, but current imaging methods limit their full potential. In this study, researchers introduce an AI-enhanced optical coherence photoacoustic microscopy (OC-PAM) system that enables high-resolution, label-free, and longitudinal imaging of 3D cancer models. The technology promises more physiologically relevant cancer research and accelerated translation of advanced in vitro models into drug discovery and precision oncology.
Cancer research is undergoing a profound transformation. Advances in molecular and cellular biology, genomics, immunology, engineering, and computational science have reshaped our understanding of cancer as a complex, multiscale disease. Yet the gap between biological discovery and durable clinical benefit remains a central challenge. Addressing this gap increasingly requires integration across disciplines, technologies, and conceptual frameworks. Advanced Cancer Research is an international, peer-reviewed, open-access journal publishing original cancer research spanning basic, translational, and clinical investigation. The journal prioritizes studies that provide mechanistic depth, introduce conceptual or technological innovation, or offer system-level insight into cancer biology and therapy, with particular emphasis on work that bridges disciplinary boundaries and advances translational relevance.