Automated Nanomanipulation with Atomic Force Microscopes

Mokaberi, Babak; Yun, Jim; Wang, M.; Requicha, Aristides A. G.

doi:10.1109/robot.2007.363181

Cited by 38 publications

(12 citation statements)

References 16 publications

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“…Until now, numerous approaches have been proposed to push and align the CPs on different kind of substrates using standard atomic force microscope (AFM) setups [4], [6]. As the manipulation routines revealed itself to be highly reproducible, significant effort has been spent on automation of the handling routines [8]- [12]. Despite the high degree of automation and the successful arrangement of CPs, these approaches are always limited to arrange particles in the immediate vicinity on a flat surface due to the technical limitations of the conventional AFMs in use, and due to the manipulation being based solely on pushing routines.…”

Section: Introductionmentioning

confidence: 99%

Automated Robotic Manipulation of Individual Colloidal Particles Using Vision-Based Control

Zimmermann

Tiemerding

Fatikow

2015

IEEE/ASME Trans. Mechatron.

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Automated manipulation of micro-and nanosized objects using robotic setups constitutes a major challenge due to the force-scaling laws and the limited control possibilities on that scale. This paper presents a new developed approach for automated manipulation of individual colloidal particles using a dedicated dualprobe setup inside a scanning electron microscope. Based on tailored probe geometries, the setup allows for reliable pick-up and release sequences of individual particles. Applying image processing of the visual feedback provided by the microscope enables for direct and fast control of the complex manipulation routines and thus allows for fully automated alignment sequences. Experimental results reveal a high repeatability of the process with hitherto unrivaled precision. The advantages and limits of this technique are highlighted with respect to further application scenarios.

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Section: Introductionmentioning

confidence: 99%

Automated Robotic Manipulation of Individual Colloidal Particles Using Vision-Based Control

Zimmermann

Tiemerding

Fatikow

2015

IEEE/ASME Trans. Mechatron.

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“…Due to the high spatial resolution in combination with force sensing capabilities, the AFM is also well-suited for manipulation of micro-and nanoscaled objects [1]. Up until now, significant effort has been spent on automated AFM-based manipulation routines [2], [3], [4], [5], [6] allowing for autonomous sorting of individual nanosized particles. This capability is generally considered a key factor for enabling new developments in nanoelectronics and nanophotonics [1], [7], [8].…”

Section: Introductionmentioning

confidence: 99%

Automated robotic manipulation of individual sub-micro particles using a dual probe setup inside the scanning electron microscope

Zimmermann

Tiemerding

Haenssler

et al. 2015

2015 IEEE International Conference on Robotics and Automation (ICRA)

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Micro-and nanosized objects aligned in specific spatial order are of great interest for applications in photonics and nanoelectronics. In particular, piezo-actuated robotic setups are promising tools to arrange and manipulate these objects individually. However, automated robotic processing on the submicron scale remains challenging due to the force scaling laws and the limited possibilities in terms of control. This paper presents the current progress on fully-automated pick-andplace routines of individual colloidal particles using a dedicated dual-probe setup inside a scanning electron microscope. Applying tailored probes in combination with image processing of the visual feedback provided by the microscope allow for complex automation sequences. The limits of the current technique are highlighted and the challenges for automated processing of progressively smaller particles are discussed.

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“…And, to improve the efficiency and repetitiveness of the nanomanipulation using AFM tip, automated manipulation system has also been investigated. Xi's group [11] and Requicha's group [12] have developed their automated nanomanipulation systems separately. Again, due to the complexity of the nano-environment, automatic manipulation of nano-entities is still an elusive goal to achieve for nanorobotic researchers.…”

Section: Introductionmentioning

confidence: 99%

Towards automated nanomanipulation of nano-bio-entities using real-time molecular force feedback information

Yang

Dong

2008

2008 International Conference on Information and Automation

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Bovine insulin molecular aggregates, a nano-scale bio-entity, has been manipulated using P-NUVO (Programmable nanomanipulation using vibration-mode operation AFM) method. This method uses the amplitude of an AFM cantilever's vibration as real-time feedback information to detect the boundary of the nano-entities under manipulation. This amplitude signal changes as a function of the distance between the probe-tip and a nano-entity due to their inter-molecular force interactions. The AFM tip's manipulating path could also be planned according to the manipulation task. Different configuration of bio-nano-entities, i.e., sphere and rod configurations were manipulated. Due to the difficulties of the sample preparation process, the real-time feedback information did not work as well as for other nano-entities such as carbon nanotubes.

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Automated Nanomanipulation with Atomic Force Microscopes

Cited by 38 publications

References 16 publications

Automated Robotic Manipulation of Individual Colloidal Particles Using Vision-Based Control

Automated Robotic Manipulation of Individual Colloidal Particles Using Vision-Based Control

Automated robotic manipulation of individual sub-micro particles using a dual probe setup inside the scanning electron microscope

Towards automated nanomanipulation of nano-bio-entities using real-time molecular force feedback information

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