Continuous Path Tracking System of High Precision Stage Using Synchronous Piezoelectric Device Driver

2006 ◽  
Vol 11-12 ◽  
pp. 121-124 ◽  
Author(s):  
T.N. Minh ◽  
Kiyoshi Ohishi ◽  
Masasuke Takata ◽  
Seiji Hashimoto ◽  
K. Kosaka ◽  
...  
Keyword(s):  
High Precision ◽  
Tracking System ◽  
Device Driver ◽  
Path Tracking ◽  
Continuous Path ◽  
Precision Stage ◽  
Piezoelectric Device

scholarly journals Accurate Friction Compensation for a High Precision Stage using a Synchronous Piezoelectric Device Driver

2007 ◽  
Vol 127 (1) ◽  
pp. 44-51 ◽  
Author(s):  
Truong Ngoc Minh ◽  
Kiyoshi Ohishi ◽  
Masasuke Takata ◽  
Seiji Hashimoto ◽  
Kouji Kosaka ◽  
...  
Keyword(s):  
High Precision ◽  
Device Driver ◽  
Friction Compensation ◽  
Precision Stage ◽  
Piezoelectric Device

615 Fast Motion Control of a High Precision Stage using a Synchronous Piezoelectric Device Driver

2005 ◽  
Vol 2005 (0) ◽  
pp. _615-1_-_615-6_
Author(s):  
Truong Ngoc MINH ◽  
Atsushi KAMIMURA ◽  
Kiyoshi OHISHI ◽  
Masasuke TAKATA ◽  
Seiji HASHIMOTO ◽  
...  
Keyword(s):  
Motion Control ◽  
High Precision ◽  
Device Driver ◽  
Precision Stage ◽  
Piezoelectric Device ◽  
Fast Motion

Model-based Control Techniques for Large-Scale High-Precision Stage

2020 ◽  
Vol 140 (4) ◽  
pp. 272-280
Author(s):  
Wataru Ohnishi ◽  
Hiroshi Fujimoto ◽  
Koichi Sakata
Keyword(s):  
High Precision ◽  
Large Scale ◽  
Model Based Control ◽  
Precision Stage ◽  
Control Techniques ◽  
Model Based

scholarly journals Parallel, linear, and subnanometric 3D tracking of microparticles with Stereo Darkfield Interferometry

2021 ◽  
Vol 7 (6) ◽  
pp. eabe3902
Author(s):  
Martin Rieu ◽  
Thibault Vieille ◽  
Gaël Radou ◽  
Raphaël Jeanneret ◽  
Nadia Ruiz-Gutierrez ◽  
...  
Keyword(s):  
High Precision ◽  
High Throughput ◽  
Single Molecule ◽  
Particle Tracking ◽  
Focal Plane ◽  
Tracking System ◽  
Three Dimensional ◽  
3D Tracking ◽  
Single Molecule Force Spectroscopy ◽  
A New Technique

While crucial for force spectroscopists and microbiologists, three-dimensional (3D) particle tracking suffers from either poor precision, complex calibration, or the need of expensive hardware, preventing its massive adoption. We introduce a new technique, based on a simple piece of cardboard inserted in the objective focal plane, that enables simple 3D tracking of dilute microparticles while offering subnanometer frame-to-frame precision in all directions. Its linearity alleviates calibration procedures, while the interferometric pattern enhances precision. We illustrate its utility in single-molecule force spectroscopy and single-algae motility analysis. As with any technique based on back focal plane engineering, it may be directly embedded in a commercial objective, providing a means to convert any preexisting optical setup in a 3D tracking system. Thanks to its precision, its simplicity, and its versatility, we envision that the technique has the potential to enhance the spreading of high-precision and high-throughput 3D tracking.

scholarly journals High Precision Optical Tracking System Based on near Infrared Trinocular Stereo Vision

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2528
Author(s):  
Songlin Bi ◽  
Yonggang Gu ◽  
Jiaqi Zou ◽  
Lianpo Wang ◽  
Chao Zhai ◽  
...  
Keyword(s):  
High Precision ◽  
Stereo Vision ◽  
Near Infrared ◽  
Nearest Neighbor ◽  
Tracking System ◽  
Optical Tracking ◽  
Tracking Accuracy ◽  
Optical Tracking System ◽  
Dynamic Tracking ◽  
Trinocular Stereo

A high precision optical tracking system (OTS) based on near infrared (NIR) trinocular stereo vision (TSV) is presented in this paper. Compared with the traditional OTS on the basis of binocular stereo vision (BSV), hardware and software are improved. In the hardware aspect, a NIR TSV platform is built, and a new active tool is designed. Imaging markers of the tool are uniform and complete with large measurement angle (>60°). In the software aspect, the deployment of extra camera brings high computational complexity. To reduce the computational burden, a fast nearest neighbor feature point extraction algorithm (FNNF) is proposed. The proposed method increases the speed of feature points extraction by hundreds of times over the traditional pixel-by-pixel searching method. The modified NIR multi-camera calibration method and 3D reconstruction algorithm further improve the tracking accuracy. Experimental results show that the calibration accuracy of the NIR camera can reach 0.02%, positioning accuracy of markers can reach 0.0240 mm, and dynamic tracking accuracy can reach 0.0938 mm. OTS can be adopted in high-precision dynamic tracking.

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