Abstract: Endoscopic systems and methods use a multi-view camera tool inside the body, including airways of a lung, to capture images, and use a combination of positional informational from EM and/or IMU sensors of the multi-view camera tool to estimate image depth and generate a three-dimensional (3D) point cloud volume of the patient anatomy. The 3D point cloud volume is generated from a known vantage point using stereoscopic images captured by the camera tool. This 3D structure generation may use a stereo image rectification algorithm. A machine learning algorithm may also be applied in place of, or in combination with, an image rectification algorithm to improve computational efficiency.

Abstract: A solenoid assembly (100) is provided that includes a frame (104), a coil (106) positioned proximate the frame (104), and a core (114) defined by the coil (106). A plunger (108) is actuatable between at least a first position and a second position, and a guide (109) is at least partially disposed within the core (114). The plunger (108) is disposed at least partially within the guide (109). A housing (102) at least partially houses the frame (104), the coil (106), the guide (109) and the plunger (108), and the guide (109) is prevented from rotating independently of the housing (102).

Abstract: A solenoid assembly (100) is provided that includes a frame (104), a coil (106) positioned proximate the frame (104), and a core (114) defined by the coil (106). A plunger (108) is actuatable between at least a first position and a second position, and a guide (109) is at least partially disposed within the core (114). The plunger (108) is disposed at least partially within the guide (109). A housing (102) at least partially houses the frame (104), the coil (106), the guide (109) and the plunger (108), and the guide (109) is prevented from rotating independently of the housing (102).