Nicholas A. Vickers
Boston University
Sliding window protocolParticleBrownian motionAlgorithmOpticsPhysicsChip-scale packageTrajectoryDeformable mirrorLaser scanningMicroscopyLimit (mathematics)Linear modelRaman scatteringDeconvolutionOptical transfer functionExpectation–maximization algorithmDepth of fieldMaterials scienceLens (optics)Change detectionElectronic engineeringDrop testConstant (mathematics)Single-particle trackingFeed forwardHorizontal scan rateComputer scienceTracking (particle physics)Gaussian noiseFunction (mathematics)Chemical imagingMicroscopeControl theory
21Publications
5H-index
101Citations
Publications 18
Newest
#1Samuel C. Pinto (BU: Boston University)H-Index: 3
#2Nicholas A. Vickers (BU: Boston University)H-Index: 5
Last. Sean B. Andersson (BU: Boston University)H-Index: 23
view all 4 authors...
We study the problem of tracking multiple diffusing particles using a laser scanning fluorescence microscope. The goal is to design trajectories for the laser to maximize the information contained in the measured intensity signal about the particles' trajectories. Our approach consists of a two level scheme: in the lower level we use an extremum seeking controller to track a single particle by first seeking it then orbiting around it. In the higher level controller, we decide which particle shou...
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#1Peng Lin (BU: Boston University)H-Index: 6
#2Hongli Ni (BU: Boston University)H-Index: 1
Last. Ji-Xin Cheng (BU: Boston University)H-Index: 83
view all 7 authors...
Stimulated Raman scattering (SRS) microscopy enables the imaging of molecular events on a human subject in vivo, such as filtration of topical drugs through the skin and intraoperative cancer detection. A typical approach for volumetric SRS imaging is through piezo scanning of an objective lens, which often disturbs the sample and offers a low axial scan rate. To address these challenges, we have developed a deformable mirror-based remote-focusing SRS microscope, which not only enables high-qual...
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#1Boris I. Godoy (BU: Boston University)H-Index: 6
#2Nicholas A. Vickers (BU: Boston University)H-Index: 5
Last. Sean B. Andersson (BU: Boston University)H-Index: 23
view all 3 authors...
Single Particle Tracking (SPT) is a powerful class of methods for studying the dynamics of biomolecules inside living cells. The techniques reveal the trajectories of individual particles, with a resolution well below the diffraction limit of light, and from them the parameters defining the motion model, such as diffusion coefficients and confinement lengths. Most existing algorithms assume these parameters are constant throughout an experiment. However, it has been demonstrated that they often ...
3 CitationsSource
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#1Peng Lin (BU: Boston University)H-Index: 6
#2Hongli Ni (BU: Boston University)H-Index: 1
Last. Ji-Xin Cheng (BU: Boston University)H-Index: 83
view all 8 authors...
Operable under ambient light and providing chemical selectivity, stimulated Raman scattering (SRS) microscopy opens a new window for imaging molecular events on a human subject, such as filtration of topical drugs through the skin. A typical approach for volumetric SRS imaging is through piezo scanning of an objective lens, which often disturbs the sample and offers a low axial scan rate. To address these challenges, we have developed a deformable mirror-based remote-focusing SRS microscope, whi...
2 CitationsSource
#1Boris I. Godoy (BU: Boston University)H-Index: 6
#2Nicholas A. Vickers (BU: Boston University)H-Index: 5
Last. Sean B. Andersson (BU: Boston University)H-Index: 23
view all 4 authors...
In this work, we study a general approach to the estimation of single particle tracking models with time-varying parameters. The main idea is to use local Maximum Likelihood (ML), applying a sliding window over the data and estimating the model parameters in each window. We combine local ML with Expectation Maximization to iteratively find the ML estimate in each window, an approach that is amenable to generalization to nonlinear models. Results using controlled-experimental data generated in ou...
1 CitationsSource
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#2Sean B. Andersson (BU: Boston University)H-Index: 23
Abstract Single particle tracking (SPT) is a method to study the transport of biomolecules with nanometer resolution. Unfortunately, recent reports show that systematic errors in position localization and uncertainty in model parameter estimates limits the utility of these techniques in studying biological processes. There is a need for an experimental method with a known ground-truth that tests the total SPT system (sample, microscope, algorithm) on both localization and estimation of model par...
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#1Nicholas A. Vickers (BU: Boston University)H-Index: 5
#2Sean B. Andersson (BU: Boston University)H-Index: 23
Single particle tracking is a powerful tool for studying and understanding the motions of biological macromolecules integral to cellular processes. In the past three decades there has been continuous and rapid development of these techniques in both optical microscope design and in algorithms to estimate the statistics and positions of the molecule's trajectory. Although there has been great progress, comparison between different microscope configurations and estimation algorithms has been diffi...
1 CitationsSource
#1Peng LinH-Index: 6
#2Hongli NiH-Index: 1
Last. Ji-Xin ChengH-Index: 83
view all 8 authors...
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