Algorithms for On-Line Monitoring of Micro Spheres in an Optical Tweezers-Based Assembly Cell

Peng, Tao; Balijepalli, Arvind; Gupta, Satyandra K.; LeBrun, Thomas W.

doi:10.1115/1.2795306

Cited by 63 publications

(61 citation statements)

References 17 publications

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“…The geometry of each assembly was reproduced by an image analysis algorithm based on the Hough transform, allowing the user to determine both the diameter and location of individual constituent NPs. 61 In all calculations, the minimum surface-to-surface separation was 0.5 nm, ensuring an optical response that can be described by solely capacitive near-field coupling of the plasmon modes without quantum effects. 50,62 Although our previous calculations used a minimum separation of 1 nm, nm provided suitable models to represent the measured optical response for the 25 (± 3) nm Au NP chains as long as the overall chain geometry and number of Au NPs was the same as determined from SEM.…”

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confidence: 99%

Plasmonic polymers unraveled through single particle spectroscopy

et al. 2014

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Plasmonic polymers are quasi one-dimensional assemblies of nanoparticles whose optical responses are governed by near-field coupling of localized surface plasmons. Through single particle extinction spectroscopy correlated with electron microscopy, we reveal the effect of the composition of the repeat unit, the chain length, and extent of disorder on the energies, intensities, and line shapes of the collective resonances of individual plasmonic polymers constructed from three different sizes of gold nanoparticles. Our combined experiment and theoretical analysis focuses on the superradiant plasmon mode, which results from the most attractive interactions along the nanoparticle chain and yields the lowest energy resonance in the spectrum. This superradiant mode redshifts with increasing chain length until an infinite chain limit, where additional increases in chain length cause negligible change in the energy of the superradiant mode. We find that, among plasmonic polymers of equal width comprising nanoparticles with different sizes, the onset of the infinite chain limit and its associated energy are dictated by the number of repeat units and not the overall length, of the polymer. The intensities and linewidths of the superradiant mode relative to higher energy resonances, however, differ as the size and number of nanoparticles are varied in the plasmonic polymers studied here. These findings provide general guidelines for engineering the energies, intensities, and line shapes of the collective optical response of plasmonic polymers constructed from nanoparticles with sizes ranging from a few tens to one hundred nanometers.

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confidence: 99%

Plasmonic polymers unraveled through single particle spectroscopy

et al. 2014

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“…Another point that should be mentioned here is that in the simulation we have not increased the image processing time when z-locations of the object centers are also determined. But as shown in [27], when data from a stack of images taken at various z-planes are combined together to estimate the z-coordinate, computation time is significant. Thus, the planner may not be that effective as the scene for which the optimal plan is generated will have changed quite a lot by the time the plan is actually implemented.…”

Section: Simulation Resultsmentioning

confidence: 99%

Developing a Stochastic Dynamic Programming Framework for Optical Tweezer-Based Automated Particle Transport Operations

Banerjee

Pomerance

Losert

et al. 2010

IEEE Trans. Automat. Sci. Eng.

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. Developing a stochastic dynamic programming framework for optical tweezers based automated particle transport operations. IEEE Transactions on Automation Science and Engineering, 7(2), 218 -227, 2010. Readers are encouraged to get the official version from the journal's web site or by contacting Dr. S.K. Gupta (skgupta@umd.edu). Ashis Gopal Banerjee, Student Member, IEEE, Andrew Pomerance, Wolfgang Losert, and Satyandra K. GuptaAbstract-Automated particle transport using optical tweezers requires the use of motion planning to move the particle while avoiding collisions with randomly moving obstacles. This paper describes a stochastic dynamic programming based motion planning framework developed by modifying the discrete version of an infinite-horizon partially observable Markov decision process algorithm. Sample trajectories generated by this algorithm are presented to highlight effectiveness in crowded scenes and flexibility. The algorithm is tested using silica beads in a holographic tweezer set-up and data obtained from the physical experiments are reported to validate various aspects of the planning simulation framework. This framework is then used to evaluate the performance of the algorithm under a variety of operating conditions.Note to Practitioners-Micro and nano scale component-based devices are revolutionizing health care, energy, communication, and computing industry. Components need to be assembled together to create useful devices. Such assembly operations remain challenging in spite of the advancements in imaging, measurement, and fabrication at the small scales. This paper deals with directed assembly using optical fields that is useful for prototyping new design concepts, repairing devices, and creating templates for self-assembly.

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“…To quantify the 3d cytoarchitecture, a workflow based on the Spherical Hough transform [74,133] is presented, which enables the automatic segmentation and localization of the small cells in the molecular as well as granular layer. From these results, local density distributions or statistical measures as the pair correlation function can be computed.…”

Section: Quantitative 3d Histology Of Human Cerebellummentioning

confidence: 99%

3d virtual histology of neuronal tissue by propagation-based x-ray phase-contrast tomography

Töpperwien¹

2018

Göttingen Series in X-Ray Physics

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Algorithms for On-Line Monitoring of Micro Spheres in an Optical Tweezers-Based Assembly Cell

Cited by 63 publications

References 17 publications

Plasmonic polymers unraveled through single particle spectroscopy

Plasmonic polymers unraveled through single particle spectroscopy

Developing a Stochastic Dynamic Programming Framework for Optical Tweezer-Based Automated Particle Transport Operations

3d virtual histology of neuronal tissue by propagation-based x-ray phase-contrast tomography

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