跨模态深度学习将明场显微对比度引入全息术
计算机视觉与模式识别
2019-03-08 v1 机器学习
应用物理
摘要
深度学习将明场显微对比度引入样本体积的全息图像，将全息的体积成像能力与明场非相干显微镜无散斑及无伪影的图像对比度相结合。
引用
@article{arxiv.1811.07103,
title = {Cross-modality deep learning brings bright-field microscopy contrast to holography},
author = {Yichen Wu and Yilin Luo and Gunvant Chaudhari and Yair Rivenson and Ayfer Calis and Kevin De Haan and Aydogan Ozcan},
journal= {arXiv preprint arXiv:1811.07103},
year = {2019}
}
备注
3 pages