The multimode fiber (MMF) has great potential to transmit high-resolution images with less
invasive methods in endoscopy due to its large number of spatial modes and small core …

Multimode fiber (MMF) based endoscopy could reach high resolution and is fine enough for
vivo imaging. However, the received images are speckles due to the mode crosstalk and …

We implement faithful multimode fiber (MMF) image transmission by a self-attention-based
neural network. Compared with a real-valued artificial neural network (ANN) based on a …

Multimode fibers (MMFs) have the potential to carry complex images for endoscopy and
related applications, but decoding the complex speckle patterns produced by mode-mixing …

Imaging through multimode fibers (MMFs) is a challenging task. Some approaches, eg
transmission matrix or digital phase conjugation, have been developed to realize imaging …

Due to the small core diameter, a single-core multimode fiber (MMF) has been extensively
investigated for endoscopic imaging. However, an extra light path is always utilized for …

Multimode fiber (MMF) plays a vital role in promoting the miniaturization of endoscope.
However, real-time and high-definition imaging using the MMF that remains a challenging …

Due to the occurrence of redundant speckle, multimode fiber (MMF) imaging is extremely
challenging. Our work studies the relationship between the effective feature distribution of …

Multimode fiber shows tremendous potential in promoting the microminiaturization of optical
endoscopes. However, multimode transmission is quite sensitive to fiber deformations and …

Abstract Information transmission through multimode fibers (MMFs) has been a topic of great
interest for many years. Deep learning algorithms have been applied successfully to MMFs …