Results 1 to 10 of about 69,887 (248)
Plasma and cavitation dynamics during pulsed laser microsurgery in vivo [PDF]
Phys. Rev. Lett. 99, 158104 (2007), 2007 We compare the plasma and cavitation dynamics underlying pulsed laser microsurgery in water and in fruit fly embryos (in vivo) - specifically for nanosecond pulses at 355 and 532 nm. We find two key differences. First, the plasma-formation thresholds are lower in vivo - especially at 355 nm - due to the presence of endogenous chromophores that serve as
A. Vogel +6 more
arxiv +3 more sources
Concurrent Segmentation and Localization for Tracking of Surgical Instruments [PDF]
arXiv, 2017 Real-time instrument tracking is a crucial requirement for various computer-assisted interventions. In order to overcome problems such as specular reflections and motion blur, we propose a novel method that takes advantage of the interdependency between localization and segmentation of the surgical tool.
D Bouget +10 more
arxiv +3 more sources
The Hungry Fly: Hydrodynamics of feeding in the common house fly [PDF]
, 2010 A large number of insect species feed primarily on a fluid diet. To do so, they must overcome the numerous challenges that arise in the design of high-efficiency, miniature pumps. Although the morphology of insect feeding structures has been described for decades, their dynamics remain largely unknown even in the most well studied species (e.g.
Prakash, Manu, Steele, Miles
arxiv +3 more sources
Fast 5DOF Needle Tracking in iOCT [PDF]
arXiv, 2018 Purpose. Intraoperative Optical Coherence Tomography (iOCT) is an increasingly available imaging technique for ophthalmic microsurgery that provides high-resolution cross-sectional information of the surgical scene. We propose to build on its desirable qualities and present a method for tracking the orientation and location of a surgical needle ...
Eslami, Abouzar +5 more
arxiv +3 more sources
Development of a five-day basic microsurgery simulation training course: a cost analysis. [PDF]
, 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/ licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any ...
Chan +15 more
core +12 more sources
Robotic Assistance for Intraocular Microsurgery: Challenges and Perspectives
Proceedings of the IEEE, 2022 Intraocular surgery, one of the most challenging discipline of microsurgery, requires sensory and motor skills at the limits of human physiological capabilities combined with tremendously difficult requirements for accuracy and steadiness.
I. Iordachita +4 more
semanticscholar +1 more source
From Teleoperation to Autonomous Robot-assisted Microsurgery: A Survey
Machine Intelligence Research, 2022 Robot-assisted microsurgery (RAMS) has many benefits compared to traditional microsurgery. Microsurgical platforms with advanced control strategies, high-quality micro-imaging modalities and micro-sensing systems are worth developing to further enhance ...
Dandan Zhang +4 more
semanticscholar +1 more source
μRALP and Beyond: Micro-Technologies and Systems for Robot-Assisted Endoscopic Laser Microsurgery
Frontiers in Robotics and AI, 2021 Laser microsurgery is the current gold standard surgical technique for the treatment of selected diseases in delicate organs such as the larynx. However, the operations require large surgical expertise and dexterity, and face significant limitations ...
L. Mattos +32 more
semanticscholar +1 more source
Autonomous Needle Navigation in Retinal Microsurgery: Evaluation in ex vivo Porcine Eyes [PDF]
, 2023 Important challenges in retinal microsurgery include prolonged operating time, inadequate force feedback, and poor depth perception due to a constrained top-down view of the surgery. The introduction of robot-assisted technology could potentially deal with such challenges and improve the surgeon's performance.
arxiv +1 more source
Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery [PDF]
, 2023 Purpose: A fundamental problem in designing safe machine learning systems is identifying when samples presented to a deployed model differ from those observed at training time. Detecting so-called out-of-distribution (OoD) samples is crucial in safety-critical applications such as robotically guided retinal microsurgery, where distances between the ...
arxiv +1 more source