Innovative 3D Virtual Staining Technology for Non-Invasive Cancer Tissue Analysis
Researchers have developed a non-invasive 3D virtual staining technique that allows detailed visualization of cancer tissues, advancing digital pathology and cancer diagnosis.
A collaborative international team led by KAIST has developed a groundbreaking 3D virtual staining technology that allows detailed, non-invasive visualization of cancer tissues, revolutionizing traditional pathology. This novel approach leverages advanced optical imaging through holotomography combined with deep learning algorithms to generate realistic, vividly detailed 3D images of cancer tissues without the need for physical staining or biopsies. Traditionally, pathological analysis required preparing multiple thin tissue sections and applying chemical stains like Hematoxylin & Eosin, a process that is time-consuming and limited to 2D cross-sections. The new technique overcomes these limitations by measuring the 3D refractive index distribution within tissues, creating high-resolution, three-dimensional images that preserve the spatial relationships among cells and structures.
The process involves capturing tissue’s optical properties with holotomography and then employing AI-based deep learning to produce virtual stained images that are comparable to conventional histological stains. This innovative method has demonstrated highly similar results to actual stained tissues across various organ types, showcasing its wide applicability and reliability. The ability to rapidly generate detailed 3D images without physical preparation allows for more in-depth understanding of tumor boundaries and cellular distributions within the tissue microenvironment.
The technology's practical potential was validated through collaboration with hospitals and research institutions in Korea and the U.S., utilizing Tomocube's holotomography equipment. This paves the way for large-scale adoption in clinical and research settings, promising to enhance diagnostic accuracy, speed, and patient comfort. Professor YongKeun Park highlighted that this advancement significantly extends pathological analysis into the third dimension, enabling more comprehensive and precise biomedical research, as well as improved clinical diagnostics for cancer and other diseases.
Published in Nature Communications, this research marks a significant step forward in digital pathology, promising a future where rapid, non-invasive, 3D tissue imaging becomes routine, ultimately improving patient outcomes and expanding the frontiers of biomedical science.
Source: MedicalXpress
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