论文标题
通过万花筒多模纤维进行斑点相关成像
Speckle-correlation imaging through a kaleidoscopic multimode fiber
论文作者
论文摘要
通过复杂的散射介质，斑点相关成像技术被广泛用于非侵入性成像。尽管通过多模纤维和散射介质共享许多类比的光传播，但通过斑点相关性从多模纤维重建图像仍然是未解决的挑战。在这里，我们利用方形多模纤维中出现的万花筒记忆效应，并展示荧光成像，而没有纤维的先验知识。在实验上，我们的方法仅需在方形纤维的输入下翻译随机斑点图案，并用桶检测器测量所得的荧光强度。然后，通过解决逆问题从测量信号的自相关中重建荧光对象的图像。此策略不需要了解输入和输出字段之间脆弱的确定性关系，这使其有望开发灵活的微弱侵入性内窥镜。
Speckle-correlation imaging techniques are widely used for non-invasive imaging through complex scattering media. While light propagation through multimode fibers and scattering media share many analogies, reconstructing images through multimode fibers from speckle correlations remains an unsolved challenge. Here, we exploit a kaleidoscopic memory effect emerging in square-core multimode fibers and demonstrate fluorescence imaging with no prior knowledge on the fiber. Experimentally, our approach simply requires to translate random speckle patterns at the input of a square-core fiber and to measure the resulting fluorescence intensity with a bucket detector. The image of the fluorescent object is then reconstructed from the autocorrelation of the measured signal by solving an inverse problem. This strategy does not require the knowledge of the fragile deterministic relation between input and output fields, which makes it promising for the development of flexible minimally-invasive endoscopes.
