Tootfinder

It's a bit of a bulky #LEGO build for now, but you can see the #RaspberryPi 3 inside it, and the actual #Kubernetes node behind it. Will merge them into one build at some po…

Fluoroscopic Shape and Pose Tracking of Catheters with Custom Radiopaque Markers
Jared Lawson, Rohan Chitale, Nabil Simaan
https://arxiv.org/abs/2506.09934

Fluoroscopic Shape and Pose Tracking of Catheters with Custom Radiopaque Markers
Safe navigation of steerable and robotic catheters in the cerebral vasculature requires awareness of the catheters shape and pose. Currently, a significant perception burden is placed on interventionalists to mentally reconstruct and predict catheter motions from biplane fluoroscopy images. Efforts to track these catheters are limited to planar segmentation or bulky sensing instrumentation, which are incompatible with microcatheters used in neurointervention. In this work, a catheter is equippe…

AI-Hybrid TRNG: Kernel-Based Deep Learning for Near-Uniform Entropy Harvesting from Physical Noise
Hasan Yi\u{g}it
https://arxiv.org/abs/2507.00145 https:/…

AI-Hybrid TRNG: Kernel-Based Deep Learning for Near-Uniform Entropy Harvesting from Physical Noise
AI-Hybrid TRNG is a deep-learning framework that extracts near-uniform entropy directly from physical noise, eliminating the need for bulky quantum devices or expensive laboratory-grade RF receivers. Instead, it relies on a low-cost, thumb-sized RF front end, plus CPU-timing jitter, for training, and then emits 32-bit high-entropy streams without any quantization step. Unlike deterministic or trained artificial intelligence random number generators (RNGs), our dynamic inner-outer network coup…

Hyperspectral Dual-Comb Compressive Imaging for Minimally-Invasive Video-Rate Endomicroscopy
Myoung-Gyun Suh (Howard), David Dang (Howard), Maodong Gao (Howard), Yucheng Jin (Howard), Byoung Jun Park (Howard), Beyonce Hu (Howard), Wilton J. M. Kort-Kamp (Howard), Ho Wai (Howard), Lee
https://arxiv.org/abs/2507.04157

Hyperspectral Dual-Comb Compressive Imaging for Minimally-Invasive Video-Rate Endomicroscopy
Endoscopic imaging is essential for real-time visualization of internal organs, yet conventional systems remain bulky, complex, and expensive due to their reliance on large, multi-element optical components. This limits their accessibility to delicate or constrained anatomical regions. Achieving real-time, high-resolution endomicroscopy using compact, low-cost hardware at the hundred-micron scale remains an unsolved challenge. Optical fibers offer a promising route toward miniaturization by pro…

Light Pipe Holographic Display: Bandwidth-preserved Kaleidoscopic Guiding for AR Glasses
Minseok Chae, Chun Chen, Seung-Woo Nam, Yoonchan Jeong
https://arxiv.org/abs/2507.04374

Light Pipe Holographic Display: Bandwidth-preserved Kaleidoscopic Guiding for AR Glasses
In this paper, we present a holographic display using a light pipe for augmented reality, and the hologram rendering method via bandwidth-preserved kaleidoscopic guiding method. Conventional augmented reality displays typically share optical architectures where the light engine and image combiner are adjacent. Minimizing the size of both components is highly challenging, and most commercial and research prototypes of augmented reality displays are bulky, front-heavy and sight-obstructing. Here,…