Revision as of 18:51, 13 July 2006

Intensity distribution of an electron beam

The Nanorobotics Project

A large new nanotechnology research programme Nanorobotics - technologies for simultaneous multidimensional imaging and manipulation of nanoobjects is to be established at Sheffield University from Autumn 2004 funded by a £2.3Millon grant from the RCUK Basic Technology research programme. The programme led by the Engineering Materials Department oef the University of Sheffield, will be a collaboration between the University of Sheffield, Sheffield Hallam University and the University of Nottingham.

Many new nanotechnology research fields require a high degree of precision in both observing and manipulating materials at the atomic level. The advanced nanorobotics technology needed to manipulate materials at this scale, a million times smaller than a grain of sand, will be developed in the new Sheffield Nanorobotics group. The integration of different technologies to act as simultaneous real-time nanoscale "eyes" and "hands", including the advanced nanorobotics, high-resolution ion/electron microscopy, image processing/vision control and sophisticated sensors, will lead to the ability to manipulate matter at the scale of atoms or molecules.

The Nanorobotics programme will thus allow unique experiments to be carried out on the manipulation and observation of the smallest quantities of materials, including research into nanoscale electronic, magnetic and electromechanical devices, manipulation of fullerenes and nanoparticles, nanoscale friction and wear, biomaterials, and systems for carrying out quantum information processing.

MMVL

Optical microscope image of tungsten tip	Optical image of tungsten tip (high magnification)
Low magnification image of tungsten tip prior to indentation experiment	File:Tilt00.jpg TEM image of tungsten tip
	File:Graphicaltip.png Graphical programming applied to indentation video

The workpackage of the MMVL is to

• assist in hardness measurements by applying flow estimation on TEM videos
• provide real-time position feed-back for controlling the nano-indenter
  • using input from S-Video- or alternatively Firewire-camera
  • estimate x- and y-position of the tip
  • estimate the depth of the tip using x- or y-image wobbling (this is a common technique for manually focussing on an object already)
• User-interface for telemanipulation and automated tasks
• Correlate AFM- with TEM-images

Further projects beyond the workpackage

• assist in hardness measurements by applying flow estimation on TEM videos
• estimation of optical flow
• automatise the measurements, which were done manually in context of this publication
  • estimation of drift
  • estimate movement of tip
  • determine object-boundaries

See Also

• MMVL webdav server
• Registration of TEM images
• Realtime Linux
• Locating tungsten-tip by means of cross-correlation
• Structural Invariant Feature Transform
• Graphical Programming with Mimas and Qt-Designer

External Links

• Project Partners
  • Sheffield Hallam University
    • Nanorobotics/MMVL shared private Wiki
    • MMVL only section
  • University of Sheffield
    • Project announcement
    • University of Sheffield Engineering Faculty FEGTEM
    • Publication Indentation mechanics of Cu-Be quantified by an in situ transmission electron microscopy mechanical probe
    • Nanorobotics group at Sheffield University (project leader)
  • University of Nottingham
    • School of Physics and Astronomy
• Journals
  • Journal of Micromechanics and Microengineering
  • European Cells & Materials Journal
• Wikibooks' Nanowiki
• JEOL USA FasTEM
• Links999 Nanotech Page
• CAVIAR: Image-based recognition project
• TEM
  • Jon Rodenburg's TEM site
  • Discussion about self-made STM
• Nanorobotic Manipulation System at the Fukuda Lab
• Micro Stereo Litography
• An Introduction to Intelligent and Autonomous Control
• Fabry-Perot interferometer
• Overview of fiber-optical sensors
• Tomography with electron microscopes
• A to Z of nanotechnology
• Software
  • Tomography with electron microscopes
  • Nano-Hive Nanospace Simulator
  • IMOD tomography software. (License doesn't allow redistribution of Source-code!)
  • AMIRA 3D segmentation and visualisation (commercial software)
  • CTSim: Computer Tomography Simulator
  • Tomography at Queen Mary University of London
  • Tomography demonstration at EPFL
  • Gnome X Scanning Microscopy
  • IMOD tomography software (proprietary license)
  • SUGAR open source MEMS simulator