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Demonstrates real-time imaging during biopsy using AI-powered adaptive optics, improving accuracy in tissue sampling.
In the pursuit of precise disease diagnosis, accurate tissue sampling during biopsy is critical. Current CT/ ultrasound‐guided biopsies provide macroscopic localization but lack real‐time cellular‐resolution visualization during puncture, particularly for deep, narrow lumens or small lesions, thereby increasing false‐negative and nondiagnostic sampling risks. It's desired to have a puncture with microscopy imaging. Here, we demonstrate an artificial‐intelligence‐empowered integrative‐light‐field microendoscopy (AIM) needle. This photonic‐mechanically co‐engineered probe overcomes dynamic diffraction limits via a closed‐loop adaptive optics system integrated in a 25G biopsy needle, enabling diffraction‐limited imaging during in vivo puncture. AIM needle resolved characteristic layered microstructures throughout mouse organs (parenchymal/hollow) and pulmonary tumors via synergistic light‐field modulation, leveraging K‐means and convolutional neural networks to enable in situ pathology‐like analysis and tumor/normal tissue discrimination along puncture paths. AIM needle demonstrates dual clinical potential as a complement to macroscopic guidance: potentially providing histology‐like feedback without interrupting procedures while enhancing biopsy targeting accuracy through navigation integration, reducing false‐negative rates in narrow lumens and microlesions, thereby improving early detection sensitivity.
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Gao et al. (2026) studied this question.
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