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Tag: holotomography
  • Research Highlight

    Real-Time, Label-Free Classification of Cell Death Pathways via Holotomography-Based Deep Learning Framework

    Prof. YongKeun Park’s group at KAIST has developed a real-time, label-free AI platform that classifies cell death pathways—apoptosis, necroptosis, and necrosis—by combining 3D holotomography with deep learning, achieving 99.3% accuracy. ...read more

    Artificial intelligence Cell death holotomography
  • Research Highlight

    3D microanatomy of unlabeled cancer tissues revealed by holotomography and virtual H&E

    Prof. Park’s group at KAIST developed 3D virtual H&E staining of thick cancer tissues using holotomography and AI. ...read more

    3D pathology Artificial intelligence Biophotonics deep learninig holotomography KI for Human Augmentation Convergence KIHAC
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