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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Neural Network for Image-to-Image Control of Optical Tweezers

Neural Network for Image-to-Image Control of Optical Tweezers

Decker, Arthur J.
Nasa Technical Reports Server (Ntrs)
Et Al

Paperback

General Political Science

ISBN10: 1289246483
ISBN13: 9781289246488
Publisher: Bibliogov
Published: Jul 29 2013
Pages: 22
Weight: 0.13
Height: 0.05 Width: 7.44 Depth: 9.69
Language: English
A method is discussed for using neural networks to control optical tweezers. Neural-net outputs are combined with scaling and tiling to generate 480 by 480-pixel control patterns for a spatial light modulator (SLM). The SLM can be combined in various ways with a microscope to create movable tweezers traps with controllable profiles. The neural nets are intended to respond to scattered light from carbon and silicon carbide nanotube sensors. The nanotube sensors are to be held by the traps for manipulation and calibration. Scaling and tiling allow the 100 by 100-pixel maximum resolution of the neural-net software to be applied in stages to exploit the full 480 by 480-pixel resolution of the SLM. One of these stages is intended to create sensitive null detectors for detecting variations in the scattered light from the nanotube sensors.

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