Unsupervised deep learning enables real-time image registration of fast-scanning optical-resolution photoacoustic microscopy

A fast scanner of optical-resolution photoacoustic microscopy is inherently vulnerable to perturbation, leading to severe image distortion and significant misalignment among multiple 2D or 3D images. Restoration and registration of these images is critical for accurately quantifying dynamic informat...

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Autors principals:	Xiaobin Hong, Furong Tang, Lidai Wang, Jiangbo Chen
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2024-08-01
Col·lecció:	Photoacoustics
Matèries:	Photoacoustic microscopy Unsupervised deep learning Image registration
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2213597924000491
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