RIYADH: Researchers at King Abdullah University of Science and Technology have unveiled a stain-free biopsy imaging technique that would pace up cancer diagnosis and assist synthetic intelligence-assisted pathology sooner or later.
University scientists say they’ve developed a platform that may generate detailed coloured photos instantly from tissue samples with out utilizing the chemical dyes generally required.
In many labs at the moment, tissue is stained to assist pathologists see mobile patterns underneath a microscope. While broadly used, the method can add time to diagnostic workflows.
This new technique makes use of engineered silicon slides to create color-like photos from tissue with out dyes. The technology was first examined on colorectal tissue samples, an space of rising significance in Saudi Arabia.
The workforce examined 120 sufferers, with outcomes displaying the brand new technique matched customary pathology leads to 99 % of circumstances, distinguishing wholesome tissue from cancer.
They reported a discount in preparation time, saying early outcomes indicated this could possibly be lowered by 40-50 % with improved consistency by decreasing the variability linked to staining circumstances.
“This research focuses on improving one of the most important steps in diagnosis — how tissue samples are prepared and reviewed,” mentioned Qiaoqiang Gan, a professor of supplies science and engineering at KAUST.
“Preparation steps, reagent quality, and laboratory conditions can influence traditional staining methods. By generating consistent digital images without dyes, we can reduce variability and create data that is more reliable for both clinical review and future AI-assisted analysis.”
The platform is being evaluated with medical companions, together with King Faisal Specialist Hospital & Research Centre, as researchers discover pathways for medical and industrial use.
The workforce additionally ran early checks on breast, lung and thyroid tissue samples, suggesting the method may finally be prolonged past colorectal cancer.
KAUST mentioned the analysis mixed supplies science, biomedical science and computing as a part of its Smart Health efforts.