The Experts below are selected from a list of 324 Experts worldwide ranked by ideXlab platform
Joseph A. Izatt - One of the best experts on this subject based on the ideXlab platform.
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Spectral Domain Phase Microscopy
Optics letters, 2005Co-Authors: Michael A. Choma, Audrey K. Ellerbee, Changhuei Yang, Tony L. Creazzo, Joseph A. IzattAbstract:Broadband interferometry is an attractive technique for the detection of cellular motions because it provides depth-resolved phase information via coherence gating. We present a phase-sensitive technique called Spectral-Domain phase microscopy (SDPM). SDPM is a functional extension of Spectral-Domain optical coherence tomography that allows for the detection of nanometer-scale motions in living cells. The sensitivity of the technique is demonstrated, and its calibration is verified. A shot-noise limit to the displacement sensitivity of this technique is derived. Measurement of cellular dynamics was performed on spontaneously beating cardiomyocytes isolated from chick embryos.
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Spectral Domain phase microscopy
Biomedical Topical Meeting, 2004Co-Authors: Michael A. Choma, Audrey K. Ellerbee, Changhuei Yang, Joseph A. IzattAbstract:We describe Spectral Domain Phase Microscopy (SDPM), a phase-sensitive functional derivative of Spectral Domain OCT that allows for the real-time measurement of cellular motions with sensitivities in the picometer regime.
Suyi Zhong - One of the best experts on this subject based on the ideXlab platform.
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Spectral-Domain Phase Microscopy for Thickness Encoded Suspension Array
IEEE Photonics Technology Letters, 2020Co-Authors: Cuixia Guo, Fangyi Chen, Zhiyuan Shen, Yanyan Suo, Xuesi Zhou, Tian Guan, Xuejing Chen, Suyi ZhongAbstract:A system containing Spectral-Domain phase microscopy and fluorescence microscopy has been developed to decode and detect thickness-encoded suspension arrays. The Spectral-Domain phase imaging path is used for decoding the thickness of the micro glass pieces while the fluorescence imaging path is used for quantifying the targeted analytes. The Spectral-Domain phase microscopy uses a Spectral Domain phase retrieval technique so that it has a high-dynamic thickness imaging range and submicron-scale thickness resolution, increasing the encoding efficiency and decoding precision. The thickness decoding capability of the system has been demonstrated by multiplexed immunoassay experiments. The quantitative analysis capability has been verified by concentration gradient experiments.
Michael A. Choma - One of the best experts on this subject based on the ideXlab platform.
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Spectral Domain Phase Microscopy
Optics letters, 2005Co-Authors: Michael A. Choma, Audrey K. Ellerbee, Changhuei Yang, Tony L. Creazzo, Joseph A. IzattAbstract:Broadband interferometry is an attractive technique for the detection of cellular motions because it provides depth-resolved phase information via coherence gating. We present a phase-sensitive technique called Spectral-Domain phase microscopy (SDPM). SDPM is a functional extension of Spectral-Domain optical coherence tomography that allows for the detection of nanometer-scale motions in living cells. The sensitivity of the technique is demonstrated, and its calibration is verified. A shot-noise limit to the displacement sensitivity of this technique is derived. Measurement of cellular dynamics was performed on spontaneously beating cardiomyocytes isolated from chick embryos.
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Spectral Domain phase microscopy
Biomedical Topical Meeting, 2004Co-Authors: Michael A. Choma, Audrey K. Ellerbee, Changhuei Yang, Joseph A. IzattAbstract:We describe Spectral Domain Phase Microscopy (SDPM), a phase-sensitive functional derivative of Spectral Domain OCT that allows for the real-time measurement of cellular motions with sensitivities in the picometer regime.
Yuichi Tanaka - One of the best experts on this subject based on the ideXlab platform.
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Spectral Domain Sampling of Graph Signals
IEEE Transactions on Signal Processing, 2018Co-Authors: Yuichi TanakaAbstract:Sampling methods for graph signals in the graph Spectral Domain are presented. Though the conventional sampling of graph signals can be regarded as sampling in the graph vertex Domain, it does not have the desired characteristics in regard to the graph Spectral Domain. With the proposed methods, the down- and upsampled graph signals inherit the frequency-Domain characteristics of the sampled signals defined in the time/spatial Domain. The properties of the sampling effects were evaluated theoretically in comparison with those obtained with the conventional sampling method in the vertex Domain. Various examples of signals on simple graphs enable precise understanding of the problem considered. Fractional sampling and Laplacian pyramid representation of graph signals are potential applications of these methods.
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ICASSP - Critically-Sampled Graph Filter Banks with Spectral Domain Sampling
2018 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2018Co-Authors: Kana Watanabe, Yuichi Tanaka, Akie Sakiyama, Antonio OrtegaAbstract:This paper presents a framework for perfect reconstruction two-channel critically-sampled graph filter banks with Spectral Domain sampling. Graph signals have a unique characteristic: sampling in the vertex and graph Spectral Domains are generally different, in contrast to classical signal processing. Conventional graph filter banks are designed using vertex Domain sampling, whereas the proposed approach utilizes a novel Spectral Domain sampling. Our proposed technique leads to perfect reconstruction transforms for any type of undirected graphs and can be applied both to combinatorial and symmetric normalized graph Laplacians. Some filter bank designs and an experiment on nonlinear approximation are shown to validate their effectiveness.
Changhuei Yang - One of the best experts on this subject based on the ideXlab platform.
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Spectral Domain Phase Microscopy
Optics letters, 2005Co-Authors: Michael A. Choma, Audrey K. Ellerbee, Changhuei Yang, Tony L. Creazzo, Joseph A. IzattAbstract:Broadband interferometry is an attractive technique for the detection of cellular motions because it provides depth-resolved phase information via coherence gating. We present a phase-sensitive technique called Spectral-Domain phase microscopy (SDPM). SDPM is a functional extension of Spectral-Domain optical coherence tomography that allows for the detection of nanometer-scale motions in living cells. The sensitivity of the technique is demonstrated, and its calibration is verified. A shot-noise limit to the displacement sensitivity of this technique is derived. Measurement of cellular dynamics was performed on spontaneously beating cardiomyocytes isolated from chick embryos.
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Spectral Domain phase microscopy
Biomedical Topical Meeting, 2004Co-Authors: Michael A. Choma, Audrey K. Ellerbee, Changhuei Yang, Joseph A. IzattAbstract:We describe Spectral Domain Phase Microscopy (SDPM), a phase-sensitive functional derivative of Spectral Domain OCT that allows for the real-time measurement of cellular motions with sensitivities in the picometer regime.
