AI-enhanced optical coherence photoacoustic microscopy for 3D cancer model imaging
Peer-Reviewed Publication
Updates every hour. Last Updated: 28-Jun-2026 13:16 ET (28-Jun-2026 17:16 GMT/UTC)
Three-dimensional cancer organoids and spheroids are powerful models for studying tumor biology, but current imaging methods limit their full potential. In this study, researchers introduce an AI-enhanced optical coherence photoacoustic microscopy (OC-PAM) system that enables high-resolution, label-free, and longitudinal imaging of 3D cancer models. The technology promises more physiologically relevant cancer research and accelerated translation of advanced in vitro models into drug discovery and precision oncology.
Cancer research is undergoing a profound transformation. Advances in molecular and cellular biology, genomics, immunology, engineering, and computational science have reshaped our understanding of cancer as a complex, multiscale disease. Yet the gap between biological discovery and durable clinical benefit remains a central challenge. Addressing this gap increasingly requires integration across disciplines, technologies, and conceptual frameworks. Advanced Cancer Research is an international, peer-reviewed, open-access journal publishing original cancer research spanning basic, translational, and clinical investigation. The journal prioritizes studies that provide mechanistic depth, introduce conceptual or technological innovation, or offer system-level insight into cancer biology and therapy, with particular emphasis on work that bridges disciplinary boundaries and advances translational relevance.
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