Resolution-enhanced multi-core fiber imaging learned on a digital twin for cancer diagnosis
T Wang, J Dremel, S Richter, W Polanski… - …, 2024 - spiedigitallibrary.org
Significance Deep learning enables label-free all-optical biopsies and automated tissue
classification. Endoscopic systems provide intraoperative diagnostics to deep tissue and …
classification. Endoscopic systems provide intraoperative diagnostics to deep tissue and …
Learned end-to-end high-resolution lensless fiber imaging toward intraoperative real-time cancer diagnosis
J Wu, T Wang, O Uckermann, R Galli… - arXiv preprint arXiv …, 2022 - arxiv.org
Endomicroscopy is indispensable for minimally invasive diagnostics in clinical practice. For
optical keyhole monitoring of surgical interventions, high-resolution fiber endoscopic …
optical keyhole monitoring of surgical interventions, high-resolution fiber endoscopic …
Learned end-to-end high-resolution lensless fiber imaging towards real-time cancer diagnosis
J Wu, T Wang, O Uckermann, R Galli, G Schackert… - Scientific Reports, 2022 - nature.com
Recent advances in label-free histology promise a new era for real-time diagnosis in
neurosurgery. Deep learning using autofluorescence is promising for tumor classification …
neurosurgery. Deep learning using autofluorescence is promising for tumor classification …
Simultaneous illumination and imaging based on a single multimode fiber
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 …
investigated for endoscopic imaging. However, an extra light path is always utilized for …
Single-ended recovery of optical fiber transmission matrices using neural networks
Y Zheng, T Wright, Z Wen, Q Yang… - Communications …, 2023 - nature.com
Ultra-thin multimode optical fiber imaging promises next-generation medical endoscopes
reaching high image resolution for deep tissues. However, current technology suffers from …
reaching high image resolution for deep tissues. However, current technology suffers from …
Wavefront shaping and deep learning in fiber endoscopy
E Kakkava - 2020 - infoscience.epfl.ch
Fiber endoscopy plays an important role in the clinical diagnosis and treatment processes
involved in modern medicine. Thin fiber probes can relay information from confined places …
involved in modern medicine. Thin fiber probes can relay information from confined places …
Image reconstruction using pre-trained autoencoder on multimode fiber imaging system
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 …
vivo imaging. However, the received images are speckles due to the mode crosstalk and …
High-speed multimode fiber imaging system based on conditional generative adversarial network
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 …
invasive methods in endoscopy due to its large number of spatial modes and small core …
Super-resolution multimode fiber imaging with an untrained neural network
W Li, K Abrashitova, LV Amitonova - Optics Letters, 2023 - opg.optica.org
Multimode fiber endoscopes provide extreme miniaturization of imaging components for
minimally invasive deep tissue imaging. Typically, such fiber systems suffer from low spatial …
minimally invasive deep tissue imaging. Typically, such fiber systems suffer from low spatial …
Towards optimal multimode fiber imaging by leveraging input polarization and deep learning
Deep learning techniques provide a plausible route towards achieving practical imaging
through multimode fibers. However, the results obtained by these methods are often …
through multimode fibers. However, the results obtained by these methods are often …