Prof. Peter C. Doerschuk Profile

Prof. Peter C. Doerschuk

Professor at Cornell Univ

SPIE Involvement:

Author

Publications (27)

Proceedings Article | 21 September 2015 Paper

Characterizing heterogeneity among virus particles by stochastic 3D signal reconstruction

Nan Xu, Yunye Gong, Qiu Wang, Yili Zheng, Peter Doerschuk

Proceedings Volume 9600, 96000F (2015) https://doi.org/10.1117/12.2193791

KEYWORDS: Particles, Expectation maximization algorithms, Spherical lenses, Scattering, Reconstruction algorithms, Biological research, Statistical analysis, 3D image processing, Mathematical modeling, MATLAB

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Proceedings Article | 10 February 2012 Paper

3D reconstruction based on single-particle cryo electron microscopy images as a random signal in noise problem

Qiu Wang, Yili Zheng, Peter Doerschuk

Proceedings Volume 8296, 82960A (2012) https://doi.org/10.1117/12.917835

KEYWORDS: Expectation maximization algorithms, Electron microscopy, 3D image processing, Signal to noise ratio, Statistical analysis, Scattering, Statistical modeling, Matrices, Molecules, 3D modeling

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Proceedings Article | 10 February 2012 Paper

Highly scalable methods for exploiting a label with unknown location in order to orient a set of single-particle cryo electron microscopy images

Cory Prust, Qiu Wang, Peter Doerschuk, John Johnson

Proceedings Volume 8296, 82960B (2012) https://doi.org/10.1117/12.917838

KEYWORDS: Particles, Expectation maximization algorithms, 3D image processing, Signal to noise ratio, Electron microscopy, Image processing, Reconstruction algorithms, Gold, Scattering, Computing systems

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Proceedings Article | 8 February 2011 Paper

Inverse problems for cryo electron microscopy of viruses: randomly oriented projection images of random 3D structures in noise

Qiu Wang, Peter Doerschuk

Proceedings Volume 7873, 787305 (2011) https://doi.org/10.1117/12.876962

KEYWORDS: Expectation maximization algorithms, 3D image processing, Electron microscopy, Signal to noise ratio, Statistical analysis, MATLAB, Scattering, Matrices, Inverse problems, Viruses

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Proceedings Article | 27 August 2010 Paper

Understanding stochastic biological macromolecular complexes by estimating a mechanical model via statistical mechanics from cryo electron microscopy images

Kang Wang, Peter Doerschuk

Proceedings Volume 7800, 78000Q (2010) https://doi.org/10.1117/12.862065

KEYWORDS: Mechanics, Data modeling, Scattering, Mathematical modeling, Biological research, Statistical modeling, Electron microscopy, Stochastic processes, Neptunium, Statistical analysis

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Proceedings Article | 27 August 2010 Paper

Classification of cryo electron microscopy images, noisy tomographic images recorded with unknown projection directions, by simultaneously estimating reconstructions and application to an assembly mutant of Cowpea Chlorotic Mottle Virus and portals of the bacteriophage P22

Junghoon Lee, Yili Zheng, Zhye Yin, Peter Doerschuk, John Johnson

Proceedings Volume 7800, 78000R (2010) https://doi.org/10.1117/12.862066

KEYWORDS: Particles, Expectation maximization algorithms, Electron microscopy, Contrast transfer function, Spherical lenses, Scattering, Image classification, 3D image processing, Tomography, Signal to noise ratio

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Proceedings Article | 27 August 2010 Paper

3D signal reconstruction from noisy projection data for stochastic objects as a generalization of Gaussian mixture parameter estimation

Yili Zheng, Peter Doerschuk

Proceedings Volume 7800, 78000L (2010) https://doi.org/10.1117/12.862064

KEYWORDS: Expectation maximization algorithms, Biological research, Statistical analysis, 3D image reconstruction, Matrices, Electron microscopy, Signal to noise ratio, 3D image processing, Stochastic processes, Scattering

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Proceedings Article | 5 September 2008 Paper

Image reconstruction in electron microscopy

Yili Zheng, Seunghee Lee, Peter Doerschuk

Proceedings Volume 7076, 70760G (2008) https://doi.org/10.1117/12.801717

KEYWORDS: Particles, Expectation maximization algorithms, Spherical lenses, Scattering, Electron microscopy, Statistical analysis, 3D image processing, Reconstruction algorithms, Contrast transfer function, Signal to noise ratio

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Proceedings Article | 2 February 2006 Paper

3D reconstructions from spherically averaged Fourier transform magnitude and solution x-ray scattering experiments

Youngha Hwang, Peter Doerschuk

Proceedings Volume 6065, 60650G (2006) https://doi.org/10.1117/12.659446

KEYWORDS: Scattering, Particles, X-rays, Mathematical modeling, 3D modeling, Fourier transforms, Crystallography, Data modeling, Chemical species, Spherical lenses

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Proceedings Article | 2 February 2006 Paper

A fast algorithm for 3D reconstruction from unoriented projections and cryo electron microscopy of viruses

Junghoon Lee, Yili Zheng, Peter Doerschuk

Proceedings Volume 6065, 60650A (2006) https://doi.org/10.1117/12.659440

KEYWORDS: Expectation maximization algorithms, Fourier transforms, Electron microscopy, Reconstruction algorithms, Viruses, 3D image processing, Scattering, Particles, Radon, Spherical lenses

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Proceedings Article | 11 March 2005 Paper

Maximum likelihood 3D reconstruction of multiple viruses from mixtures of cryo electron microscope images

Junghoon Lee, Yili Zheng, Peter Doerschuk, Jinghua Tang, John Johnson

Proceedings Volume 5674, (2005) https://doi.org/10.1117/12.598307

KEYWORDS: Particles, 3D image processing, Scattering, Reconstruction algorithms, 3D modeling, Fourier transforms, Spherical lenses, Image processing, Expectation maximization algorithms, 3D image reconstruction

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Proceedings Article | 1 July 2003 Paper

Computational 3D reconstructions by optimization for cryo-electron microscopy

Zhye Yin, Yili Zheng, Peter Doerschuk, John Johnson

Proceedings Volume 5016, (2003) https://doi.org/10.1117/12.479705

KEYWORDS: Particles, Expectation maximization algorithms, Spherical lenses, 3D image processing, Electron microscopy, Reconstruction algorithms, Viruses, Contrast transfer function, Microscopes, Optimization (mathematics)

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Proceedings Article | 16 November 2000 Paper

3D image reconstruction algorithms for cryo-electron-microscopy images of virus particles

Peter Doerschuk, John Johnson

Proceedings Volume 4123, (2000) https://doi.org/10.1117/12.409274

KEYWORDS: Particles, Expectation maximization algorithms, Fourier transforms, Scattering, 3D modeling, 3D image processing, Reconstruction algorithms, Image processing, Spherical lenses, Statistical analysis

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Proceedings Article | 22 September 1998 Paper

Statistical methods for 3D reconstruction of viruses using cryo electron microscopy data

Wen Gao, Peter Doerschuk

Proceedings Volume 3459, (1998) https://doi.org/10.1117/12.323797

KEYWORDS: Scattering, 3D modeling, Viruses, Spherical lenses, Electron microscopy, Fourier transforms, Particles, 3D image processing, Statistical methods, Data modeling

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Proceedings Article | 14 November 1996 Paper

Hidden Markov model for the detection and tracking of highway vehicles in image sequences

Wai Kan, James Krogmeier, Peter Doerschuk

Proceedings Volume 2847, (1996) https://doi.org/10.1117/12.258229

KEYWORDS: Video, Information technology, Intelligence systems, Roads, Video processing, Systems modeling, 3D modeling, Target detection, Imaging systems, Cameras

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Proceedings Article | 25 October 1996 Paper

Optimization approach to 3D reconstruction from solution x-ray scattering data

Yibin Zheng, Peter Doerschuk

Proceedings Volume 2827, (1996) https://doi.org/10.1117/12.255076

KEYWORDS: Data modeling, Scattering, X-rays, Particles, 3D modeling, Spherical lenses, Fourier transforms, Viruses, Crystals, Bessel functions

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SPIE Journal Paper | 1 June 1996

Model-based vehicle tracking from image sequences with an application to road surveillance

Wai Kan, James Krogmeier, Peter Doerschuk

OE, Vol. 35, Issue 06, (June 1996) https://doi.org/10.1117/12.10.1117/1.600747

KEYWORDS: Detection and tracking algorithms, Model-based design, Roads, Video, Filtering (signal processing), Video surveillance, Surveillance, Image segmentation, Motion models, Digital filtering

Proceedings Article | 22 August 1995 Paper

Reconstruction of color images from a single-chip CCD sensor based on Markov random field models

Chi-hsin Wu, Peter Doerschuk

Proceedings Volume 2564, (1995) https://doi.org/10.1117/12.217411

KEYWORDS: CCD image sensors, RGB color model, Optical filters, Magnetorheological finishing, Monte Carlo methods, Visual system, Convolution, Image analysis, Image processing, Image sensors

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Proceedings Article | 11 August 1995 Paper

Reconstruction of viruses from solution x-ray scattering data

Yibin Zheng, Peter Doerschuk, John Johnson

Proceedings Volume 2568, (1995) https://doi.org/10.1117/12.216350

KEYWORDS: Scattering, X-rays, Viruses, Data modeling, Crystals, Spherical lenses, X-ray diffraction, Particles, Crystallography, Mathematical modeling

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Proceedings Article | 11 August 1995 Paper

Simultaneous restoration and segmentation using cluster approximations to Markov random fields

Chi-hsin Wu, Peter Doerschuk

Proceedings Volume 2568, (1995) https://doi.org/10.1117/12.216349

KEYWORDS: Image segmentation, Tomography, Medical imaging, Magnetorheological finishing, Image analysis, Electrical engineering, Image processing, MATLAB, Software development, Optoelectronics

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Proceedings Article | 21 September 1994 Paper

Spatial pattern classification for optical agricultural remote sensing

Chi-hsin Wu, Peter Doerschuk

Proceedings Volume 2298, (1994) https://doi.org/10.1117/12.186567

KEYWORDS: Remote sensing, Magnetorheological finishing, Agriculture, Image classification, Landsat, Spatial resolution, Spectral resolution, Monte Carlo methods, Earth observing sensors, Chlorine

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Proceedings Article | 30 June 1994 Paper

Texture-based segmentation using Markov random field models

Chi-hsin Wu, Peter Doerschuk

Proceedings Volume 2304, (1994) https://doi.org/10.1117/12.179216

KEYWORDS: Image segmentation, Magnetorheological finishing, Distance measurement, Monte Carlo methods, Error analysis, Image processing, Signal processing, Electrical engineering, Statistical modeling, Stochastic processes

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Proceedings Article | 9 November 1993 Paper

Computational x-ray crystallography as a signal recovery problem

Peter Doerschuk

Proceedings Volume 2029, (1993) https://doi.org/10.1117/12.161987

KEYWORDS: Crystallography, Image restoration, X-rays, Phase retrieval, Fourier transforms, Crystals, Chemical species, Magnetorheological finishing, Radon, Molecules

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Proceedings Article | 29 October 1993 Paper

Cluster approximations for statistical image processing

Chi-hsin Wu, Peter Doerschuk

Proceedings Volume 2032, (1993) https://doi.org/10.1117/12.162051

KEYWORDS: Image restoration, Image processing, Binary data, Magnetorheological finishing, Performance modeling, Radon, Computer simulations, X-rays, Crystallography, Algorithms

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Proceedings Article | 29 December 1992 Paper

Bayesian signal reconstruction from Fourier-transform magnitude and x-ray crystallography

Peter Doerschuk

Proceedings Volume 1767, (1992) https://doi.org/10.1117/12.139036

KEYWORDS: Crystallography, Crystals, Fourier transforms, X-rays, Spherical lenses, Scattering, Inverse problems, Binary data, Chemical species, Optimization (mathematics)

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Proceedings Article | 16 December 1992 Paper

Continuous-state simulated annealing algorithms: theory and application

Saul Gelfand, Peter Doerschuk, Mohamed Nahhas-Mohandes

Proceedings Volume 1766, (1992) https://doi.org/10.1117/12.130832

KEYWORDS: Gallium arsenide, Annealing, Algorithms, Image processing, Signal processing, Stochastic processes, Diffusion, Optimization (mathematics), Monte Carlo methods, Chemical elements

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Proceedings Article | 1 October 1991 Paper

Bayesian signal reconstruction from Fourier transform magnitude and x-ray crystallography

Peter Doerschuk

Proceedings Volume 1569, (1991) https://doi.org/10.1117/12.48367

KEYWORDS: Crystallography, X-rays, Fourier transforms, Spherical lenses, Chemical species, Signal processing, Physics, Magnetorheological finishing, Molecules, Stochastic processes

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Showing 5 of 27 publications

Conference Committee Involvement (17)

Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2019

14 August 2019 | San Diego, California, United States

Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2018

22 August 2018 | San Diego, California, United States

Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017

9 August 2017 | San Diego, California, United States

Image Reconstruction from Incomplete Data VIII

11 August 2015 | San Diego, California, United States

Computational Imaging XI

5 February 2013 | Burlingame, California, United States

Image Reconstruction from Incomplete Data VII

14 August 2012 | San Diego, California, United States

Image Reconstruction from Incomplete Data VI

2 August 2010 | San Diego, California, United States

Computational Imaging VII

19 January 2009 | San Jose, California, United States

Image Reconstruction from Incomplete Data V

11 August 2008 | San Diego, California, United States

Computational Imaging VI

28 January 2008 | San Jose, California, United States

Computational Imaging V

29 January 2007 | San Jose, CA, United States

Image Reconstruction from Incomplete Data IV

14 August 2006 | San Diego, California, United States

Computational Imaging IV

16 January 2006 | San Jose, California, United States

Computational Imaging III

17 January 2005 | San Jose, California, United States

Image Reconstruction from Incomplete Data III

2 August 2004 | Denver, Colorado, United States

Computational Imaging II

19 January 2004 | San Jose, California, United States

Neural and Stochastic Methods in Image and Signal Processing II

12 July 1993 | San Diego, CA, United States

Showing 5 of 17 Conference Committees

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