Researchers have developed a compact, noninvasive imaging system that combines high-resolution structural imaging with chemical analysis to improve skin cancer diagnosis. The system integrates line-field confocal optical coherence tomography and confocal Raman microspectroscopy, allowing clinicians to examine both the cellular structure and molecular composition of skin tissues. In a year-long clinical study involving over 330 nonmelanoma skin cancer samples, the system enabled targeted chemical analysis of suspicious structures. An AI model trained on the spectral data achieved high accuracy in identifying cancerous tissues, with classification scores of 0.95 for basal cell carcinoma and 0.92 when including squamous cell carcinoma. This dual-modality approach promises to enhance diagnostic precision and deepen understanding of skin cancer biology.

- Neutrinos are a key component of the Standard Model of particle physics, but their properties make them extremely difficult to detect. This generally requires the use of large detectors.

- Researchers have now succeeded in detecting anti-neutrinos from the Leibstadt nuclear power plant in Switzerland using a significantly smaller detector.

- These experiments offer new insights into the Standard Model of particle physics and, as they are very compact, could be used to monitor nuclear reactors in the future.