The Experts below are selected from a list of 2832 Experts worldwide ranked by ideXlab platform

Shuji Matsusaka - One of the best experts on this subject based on the ideXlab platform.

  • Particle electrification and levitation in a continuous particle feed and dispersion system with vibration and external electric fields
    Advanced Powder Technology, 2018
    Co-Authors: Mizuki Shoyama, Masatoshi Yasuda, Takumu Kawata, Shuji Matsusaka
    Abstract:

    Abstract Electrification and levitation of particles in a continuous particle feed and dispersion system have been studied both theoretically and experimentally. This system consisted of a vibrator and inclined parallel electrodes. A mesh and a vibrating plate were used for the upper and lower electrodes, respectively. A dc voltage was applied to one of the electrodes and the other electrode was grounded. Particles fed to the lower electrode were charged by induction and levitated upward by the Coulomb forces. When the applied voltage was high enough, the particles passed through the mesh electrode. The charge of the particles was measured with a Faraday cup, and the particle behavior was observed with a high-speed Microscope Camera. The particle charges were also analyzed from experimentally obtained particle trajectories and numerically calculated electric fields. Finally, the conditions for the effective levitation and dispersion of the charged particles and their mechanisms were studied and have been described in detail.

  • High-Resolution Analysis of Particle Deposition and Resuspension in Turbulent Channel Flow
    Aerosol Science and Technology, 2015
    Co-Authors: Shuji Matsusaka
    Abstract:

    Particle deposition and resuspension during turbulent flow were investigated using a rectangular channel with glass side walls. Micrometer-sized alumina particles were used in the experiments. Particle behavior in the rectangular channel was observed through a high-speed Microscope Camera with a resolution of 0.3 μm and a speed of 87,600 fps, and particle deposition and resuspension fluxes were quantified using digital image analysis. The experimental results showed that particle resuspension was caused by the collision of airborne particles with those deposited on the surface. The resuspension flux was found to be correlated with the deposition flux. Furthermore, the average residence time between particle deposition and resuspension was several tens of milliseconds, which was very short but much longer than the contact time at the collision. Additionally, the residence time decreased as the particle diameter increased.Copyright 2015 American Association for Aerosol Research

  • Microscopic analysis of particle detachment from an obliquely oscillating plate
    Chemical Engineering Science, 2015
    Co-Authors: Murino Kobayakawa, Masatoshi Yasuda, Seiya Kiriyama, Shuji Matsusaka
    Abstract:

    Abstract Particle detachment from an obliquely oscillating plate was studied experimentally and theoretically. The plate was placed in a horizontal position, and vibrations were applied in the horizontal and vertical directions by piezoelectric vibrators. The frequency of vibration was constant at 280 Hz. The amplitude of vibration increased with time and approached a constant value in each experiment. The movement of micrometer-sized spherical particles was analyzed using images captured by a high-speed Microscope Camera, which showed that the particles rolled on the plate before detaching from the surface, and that the rolling significantly reduced the adhesive force between the particles and surface. Furthermore, the removal efficiency, defined by the number ratio of detached particles to total particles, was analyzed as a function of the horizontal and vertical vibration accelerations. It was found that the removal efficiency was significantly affected by the horizontal vibration acceleration. These experimental results can be explained by the force and moment balance model.

  • Microscopic analysis of saltation of particles on an obliquely oscillating plate
    Advanced Powder Technology, 2014
    Co-Authors: Murino Kobayakawa, Masatoshi Yasuda, Shuji Matsusaka
    Abstract:

    Abstract This paper presents a microscopic analysis of the saltation of particles on an obliquely oscillating plate driven by sine waves with an amplitude on the order of tens of micrometers and a frequency on the order of hundreds of hertz. To examine the effect of the diameter of a particle on its motion, the trajectories and velocities of different-sized particles, from 0.5 to 500 μm in mass median diameter, are analyzed using images captured by a high-speed Microscope Camera. The results show that larger particles bounce higher, whereas smaller particles easily agglomerate and bounce only slightly, owing to the low restitution caused by their loosely packed structure. In addition, larger particles bounce forward and backward repeatedly, while the agglomerated particles always bounce forward, and consequently have the highest transport velocity among these particles. The particle motion and the transport velocity can be explained by a theoretical probability model.

  • Particle removal process during application of impinging dry ice jet
    Powder Technology, 2012
    Co-Authors: Daisuke Hirama, Shuji Matsusaka
    Abstract:

    Abstract In this study, we have investigated the application of dry ice blasting to remove fine particles adhering to surfaces and examined the removal process. The removal efficiency, area, and frequency have been analyzed using images captured with a high-speed Microscope Camera. In addition, the temperature of the dry ice jet has been measured in order to evaluate the dry ice particles and their effects on the particle removal process. The removal processes due to the impacts of primary dry ice particles and their agglomerates occurred in two stages corresponding to slow and rapid particle removals. High removal efficiency was achieved when the impacts of the agglomerates were dominant during the particle removal at approximately − 70 °C. Furthermore, we have investigated the effects of the jet flow rate on the removal area and frequency and proposed a system parameter to determine the optimum jet flow rate for efficient particle removal.

Peter K. Allen - One of the best experts on this subject based on the ideXlab platform.

  • IROS - Visual servoed micropositioning for protein manipulation tasks
    IEEE RSJ International Conference on Intelligent Robots and System, 2002
    Co-Authors: Youcef Mezouar, Peter K. Allen
    Abstract:

    In this paper, we present a framework for cell manipulation tasks with visual servoing micromanipulation strategies. A vision based micropositioner is designed in order to address the requirement of high precision needed to perform manipulation of objects under 100 /spl mu/m in size. The system calibration (Microscope-Camera-micropositioner) and the model of the observed scene are not known. Experimental results for micropositioning tasks with respect to protein cells are presented and demonstrate the validity of the proposed approach.

  • Visual servoed micropositioning for protein manipulation tasks
    IEEE RSJ International Conference on Intelligent Robots and Systems, 2002
    Co-Authors: Youcef Mezouar, Peter K. Allen
    Abstract:

    In this paper, we present a framework for cell manipulation tasks with visual servoing micromanipulation strategies. A vision based micropositioner is designed in order to address the requirement of high precision needed to perform manipulation of objects under 100 /spl mu/m in size. The system calibration (Microscope-Camera-micropositioner) and the model of the observed scene are not known. Experimental results for micropositioning tasks with respect to protein cells are presented and demonstrate the validity of the proposed approach.

Coastal - One of the best experts on this subject based on the ideXlab platform.

Yi-hung Liu - One of the best experts on this subject based on the ideXlab platform.

  • Particle removal process during application of impinging dry ice jet
    Powder Technology, 2012
    Co-Authors: Yi-hung Liu, Daisuke Hirama, Shuji Matsusaka
    Abstract:

    In this study, we have investigated the application of dry ice blasting to remove fine particles adhering to surfaces and examined the removal process. The removal efficiency, area, and frequency have been analyzed using images captured with a high-speed Microscope Camera. In addition, the temperature of the dry ice jet has been measured in order to evaluate the dry ice particles and their effects on the particle removal process. The removal processes due to the impacts of primary dry ice particles and their agglomerates occurred in two stages corresponding to slow and rapid particle removals. High removal efficiency was achieved when the impacts of the agglomerates were dominant during the particle removal at approximately - 70 ??C. Furthermore, we have investigated the effects of the jet flow rate on the removal area and frequency and proposed a system parameter to determine the optimum jet flow rate for efficient particle removal. ?? 2011 Elsevier B.V.

Kamal Youcef-toumi - One of the best experts on this subject based on the ideXlab platform.

  • Automatic Vision-Guided Micromanipulation for Versatile Deployment and Portable Setup
    IEEE Transactions on Automation Science and Engineering, 2018
    Co-Authors: Liangjing Yang, Ishara Paranawithana, Kamal Youcef-toumi
    Abstract:

    In this paper, an automatic vision-guided micromanipulation approach to facilitate versatile deployment and portable setup is proposed. This paper is motivated by the importance of micromanipulation and the limitations in existing automation technology in micromanipulation. Despite significant advancements in micromanipulation techniques, there remain bottlenecks in integrating and adopting automation for this application. An underlying reason for the gaps is the difficulty in deploying and setting up such systems. To address this, we identified two important design requirements, namely, portability and versatility of the micromanipulation platform. A self-contained vision-guided approach requiring no complicated preparation or setup is proposed. This is achieved through an uncalibrated self-initializing workflow algorithm also capable of assisted targeting. The feasibility of the solution is demonstrated on a low-cost portable Microscope Camera and compact actuated microstages. Results suggest subpixel accuracy in localizing the tool tip during initialization steps. The self-focus mechanism could recover intentional blurring of the tip by autonomously manipulating it 95.3% closer to the focal plane. The average error in visual servo is less than a pixel with our depth compensation mechanism showing better maintaining of similarity score in tracking. Cell detection rate in a 1637-frame video stream is 97.7% with subpixels localization uncertainty. Our work addresses the gaps in existing automation technology in the application of robotic vision-guided micromanipulation and potentially contributes to the way cell manipulation is performed. Note to Practitioners —This paper introduces an automatic method for micromanipulation using visual information from microscopy. We design an automatic workflow, which consists of: 1) self-initialization; 2) vision-guided manipulation; and 3) assisted targeting, and demonstrate versatile deployment of the micromanipulator on a portable Microscope Camera setup. Unlike existing systems, our proposed method does not require any tedious calibration or expensive setup making it mobile and low cost. This overcomes the constraints of traditional practices that confine automated cell manipulation to a laboratory setting. By extending the application beyond the laboratory environment, automated micromanipulation technology can be made more ubiquitous and expands readily to facilitate field study.

  • Towards automatic robot-assisted microscopy: An uncalibrated approach for robotic vision-guided micromanipulation
    2016 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS), 2016
    Co-Authors: Liangjing Yang, Kamal Youcef-toumi
    Abstract:

    Micromanipulation during live microscopic imaging relies heavily on good manual controls, dexterity, and hand-eye coordination. However, unassisted manual operations in these procedures greatly limit the speed, repeatability, and ease of operation. This is especially challenging in the case of microinjection where the insertion path needs to be in precise alignment with the imaging plane to avoid damage to cells. In this paper, we proposed an assistive robotic system that facilitates micromanipulation under microscopy. This comes in the form of intelligent robotic vision and guided manipulation. Using user-selected patch similarity, the system registers target templates and provides online coordinated depth compensation that ensures in-plane microinjection without the need for any prior calibration. This vision-based auto-registration approach readily integrates to any existing Microscope system uncalibrated. It can also work as a standalone imaging solution with any general digital Microscope Camera. Experiments show that the similarity-score based depth compensation performed better than the uncompensated method. The method was shown to self-recover from an unfocused position. By robotizing conventional microscopy and micromanipulation procedures, we hope to address traditional latent needs and open up new possibilities in the ways experimental biology is performed.