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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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2024-08-01
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| coleção: | Photoacoustics |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2213597924000491 |
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