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| Content Provider | The American Society of Mechanical Engineers (ASME) Digital Collection |
|---|---|
| Author | Ashis, G. Banerjee Balijepalli, Arvind Satyandra, K. Gupta Thomas, W. Lebrun |
| Copyright Year | 2008 |
| Abstract | In order to automatically manipulate microspheres using optical tweezers in real-time, it is essential to efficiently compute an estimate of the probability with which they will be trapped by a moving laser beam in a spatial region close to its focus. This paper presents a radial basis function approach to generate simplified models for estimating trapping probability from the offline simulation data. The difference form of Langevin’s equation is used to perform offline particle motion simulation for estimating probabilities at discrete points. Gaussian radial basis functions combined with kd-tree based partitioning of the parameter space are then used to generate simplified models. We show that the proposed approach is computationally efficient in estimating the trapping probability. We also show that the estimated probability using the simplified models is sufficiently close to the probability estimated from the offline simulation data. |
| Sponsorship | Design Engineering Division and Computers in Engineering Division |
| Starting Page | 99 |
| Ending Page | 109 |
| Page Count | 11 |
| File Format | |
| ISBN | 9780791843277 |
| DOI | 10.1115/DETC2008-49124 |
| e-ISBN | 0791838315 |
| Volume Number | Volume 3: 28th Computers and Information in Engineering Conference, Parts A and B |
| Conference Proceedings | ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference |
| Language | English |
| Publisher Date | 2008-08-03 |
| Publisher Place | Brooklyn, New York, USA |
| Access Restriction | Subscribed |
| Subject Keyword | Probability Simulation Laser beams Particulate matter |
| Content Type | Text |
| Resource Type | Article |
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