Scientific Frontline: "At a Glance" Summary
- Main Discovery: Researchers developed ultraviolet photoacoustic microscopy (UV-PAM) integrated with deep learning to perform rapid, label-free, subcellular-resolution histology on excised tumor tissue directly in the operating room.
- Mechanism: A low-energy laser excites the absorption peaks of DNA and RNA nucleic acids to generate ultrasonic vibrations; AI algorithms then process these signals to create virtual images that mimic traditional hematoxylin and eosin (H&E) staining without chemical processing.
- Key Data: The system achieves a spatial resolution of 200 to 300 nanometers and delivers diagnostic results in under 10 minutes (potentially under 5 minutes), effectively identifying the dense, enlarged nuclei characteristic of cancer cells.
- Context: Unlike standard pathology, which requires time-consuming freezing, fixation, and slicing that can damage fatty tissues like breast tissue, this method preserves sample integrity and eliminates preparation artifacts.
- Significance: This technology aims to drastically reduce re-operation rates—currently up to one-third for breast cancer lumpectomies—by allowing surgeons to confirm clean tumor margins intraoperatively across various tissue types (breast, bone, skin, organ).





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