دورية أكاديمية
Enhanced resolution and sensitivity acoustic-resolution photoacoustic microscopy with semi/unsupervised GANs
العنوان: | Enhanced resolution and sensitivity acoustic-resolution photoacoustic microscopy with semi/unsupervised GANs |
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المؤلفون: | Thanh Dat Le, Jung-Joon Min, Changho Lee |
المصدر: | Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023) |
بيانات النشر: | Nature Portfolio, 2023. |
سنة النشر: | 2023 |
المجموعة: | LCC:Medicine LCC:Science |
مصطلحات موضوعية: | Medicine, Science |
الوصف: | Abstract Acoustic-resolution photoacoustic microscopy (AR-PAM) enables visualization of biological tissues at depths of several millimeters with superior optical absorption contrast. However, the lateral resolution and sensitivity of AR-PAM are generally lower than those of optical-resolution PAM (OR-PAM) owing to the intrinsic physical acoustic focusing mechanism. Here, we demonstrate a computational strategy with two generative adversarial networks (GANs) to perform semi/unsupervised reconstruction with high resolution and sensitivity in AR-PAM by maintaining its imaging capability at enhanced depths. The b-scan PAM images were prepared as paired (for semi-supervised conditional GAN) and unpaired (for unsupervised CycleGAN) groups for label-free reconstructed AR-PAM b-scan image generation and training. The semi/unsupervised GANs successfully improved resolution and sensitivity in a phantom and in vivo mouse ear test with ground truth. We also confirmed that GANs could enhance resolution and sensitivity of deep tissues without the ground truth. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2045-2322 |
Relation: | https://doaj.org/toc/2045-2322 |
DOI: | 10.1038/s41598-023-40583-x |
URL الوصول: | https://doaj.org/article/e65b9152f4a54991b6fd88f98766f7d7 |
رقم الأكسشن: | edsdoj.65b9152f4a54991b6fd88f98766f7d7 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 20452322 |
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DOI: | 10.1038/s41598-023-40583-x |