The content introduces the innovative OT-TP-LSM technique for 3D pathology, offering enhanced imaging depths and detailed visualization of cells and extracellular matrix. The study showcases applications in skin, pancreas, and prostate cancer specimens, demonstrating the potential for rapid and precise non-destructive 3D pathology. By utilizing deep learning networks for style transfer to virtual H&E images, OT-TP-LSM provides comparable histopathological information to traditional methods without thin sectioning.
The study highlights the technical setup of OT-TP-LSM, emphasizing its ability to generate an extended depth of field light sheet using a Bessel beam. Detailed imaging results from human skin, pancreatic, and prostatic cancers illustrate the capability of OT-TP-LSM to distinguish between normal tissues and cancerous structures with high contrast. Additionally, the use of CycleGAN for virtual H&E staining showcases the potential for enhancing pathologists' interpretation of OT-TP-LSM images.
Overall, this research demonstrates the promising application of OT-TP-LSM in advancing non-destructive 3D pathology by providing detailed cellular information in various human cancer specimens through innovative imaging techniques and deep learning-based image processing.
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מתוכן המקור
biorxiv.org
תובנות מפתח מזוקקות מ:
by Park,W. Y., ... ב- www.biorxiv.org 10-20-2023
https://www.biorxiv.org/content/10.1101/2023.10.18.562941v2שאלות מעמיקות