Tracking in cell and developmental biology.

[1]  J. Pawley,et al.  Handbook of Biological Confocal Microscopy , 1990, Springer US.

[2]  R. Heintzmann.  Handbook of biological confocal microscopy , 2006 .

[3]  Nicholas Ayache,et al.  Medical Image Analysis: Progress over Two Decades and the Challenges Ahead , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  M K Cheezum,et al.  Quantitative comparison of algorithms for tracking single fluorescent particles. , 2001, Biophysical journal.

[5]  Scott T. Acton,et al.  Tracking leukocytes in vivo with shape and size constrained active contours , 2002, IEEE Transactions on Medical Imaging.

[6]  D. Dormann,et al.  Simultaneous quantification of cell motility and protein-membrane-association using active contours. , 2002, Cell motility and the cytoskeleton.

[7]  Larry V McIntire,et al.  Fully automated three-dimensional tracking of cancer cells in collagen gels: determination of motility phenotypes at the cellular level. , 2002, Cancer research.

[8]  J. Käs,et al.  Apparent subdiffusion inherent to single particle tracking. , 2002, Biophysical journal.

[9]  P. Sorger,et al.  Automatic fluorescent tag detection in 3D with super‐resolution: application to the analysis of chromosome movement , 2002, Journal of microscopy.

[10]  Vannary Meas-Yedid,et al.  Segmentation and tracking of migrating cells in videomicroscopy with parametric active contours: a tool for cell-based drug testing , 2002, IEEE Transactions on Medical Imaging.

[11]  Edward Voss,et al.  3D-DIASemb: a computer-assisted system for reconstructing and motion analyzing in 4D every cell and nucleus in a developing embryo. , 2002, Developmental biology.

[12]  R. Eils,et al.  Computational imaging in cell biology , 2003, The Journal of cell biology.

[13]  George H Patterson,et al.  Photobleaching and photoactivation: following protein dynamics in living cells. , 2003, Nature cell biology.

[14]  M. Girgenrath,et al.  Immortalization of mouse myogenic cells can occur without loss of p16INK4a, p19ARF, or p53 and is accelerated by inactivation of Bax , 2004, BMC Cell Biology.

[15]  P. Vallotton,et al.  Recovery, visualization, and analysis of actin and tubulin polymer flow in live cells: a fluorescent speckle microscopy study. , 2003, Biophysical journal.

[16]  R. Eils,et al.  Quantitative motion analysis and visualization of cellular structures. , 2003, Methods.

[17]  Roger Y Tsien,et al.  Imagining imaging's future. , 2003, Nature reviews. Molecular cell biology.

[18]  Victoria J Allan,et al.  Light Microscopy Techniques for Live Cell Imaging , 2003, Science.

[19]  Hans-Peter Meinzer,et al.  ALES: Cell Lineage Analysis and Mapping of Developmental Events , 2003, Bioinform..

[20]  Erik Brauner,et al.  Informatics and Quantitative Analysis in Biological Imaging , 2003, Science.

[21]  J. Lippincott-Schwartz,et al.  Development and Use of Fluorescent Protein Markers in Living Cells , 2003, Science.

[22]  G. Danuser,et al.  Two Distinct Actin Networks Drive the Protrusion of Migrating Cells , 2004, Science.

[23]  Isabelle Camby,et al.  A model‐based approach for automated in vitro cell tracking and chemotaxis analyses , 2004, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[24]  Pamela C. Cosman,et al.  Automatic tracking, feature extraction and classification of C. elegans phenotypes , 2004, IEEE Transactions on Biomedical Engineering.

[25]  Scott T. Acton,et al.  Level set analysis for leukocyte detection and tracking , 2004, IEEE Transactions on Image Processing.

[26]  Christopher J. Cronin,et al.  An automated system for measuring parameters of nematode sinusoidal movement , 2005, BMC Genetics.

[27]  Hong Wang,et al.  Automated measurement of cell motility and proliferation , 2005, BMC Cell Biology.

[28]  Scott T. Acton,et al.  Motion gradient vector flow: an external force for tracking rolling leukocytes with shape and size constrained active contours , 2004, IEEE Transactions on Medical Imaging.

[29]  R. Eils,et al.  4-D single particle tracking of synthetic and proteinaceous microspheres reveals preferential movement of nuclear particles along chromatin – poor tracks , 2004, BMC Cell Biology.

[30]  C Wählby,et al.  Combining intensity, edge and shape information for 2D and 3D segmentation of cell nuclei in tissue sections , 2004, Journal of microscopy.

[31]  Hiroaki Kitano,et al.  Detection of nuclei in 4D Nomarski DIC microscope images of early Caenorhabditis elegans embryos using local image entropy and object tracking , 2005, BMC Bioinformatics.

[32]  Christophe Zimmer,et al.  Segmenting and tracking fluorescent cells in dynamic 3-D microscopy with coupled active surfaces , 2005, IEEE Transactions on Image Processing.

[33]  Yuval Garini,et al.  From micro to nano: recent advances in high-resolution microscopy. , 2005, Current opinion in biotechnology.

[34]  B. C. Carter,et al.  Tracking single particles: a user-friendly quantitative evaluation , 2005, Physical biology.

[35]  Laurent D. Cohen,et al.  Single quantum dot tracking based on perceptual Grouping using minimal paths in a spatiotemporal volume , 2005, IEEE Transactions on Image Processing.

[36]  Special Issue on Molecular and Cellular Bioimaging , 2005 .

[37]  Michael Unser,et al.  Automatic tracking of individual fluorescence particles: application to the study of chromosome dynamics , 2005, IEEE Transactions on Image Processing.

[38]  Jasjit S. Suri,et al.  Handbook of Biomedical Image Analysis , 2005 .

[39]  Philippe Van Ham,et al.  Tracking of migrating cells under phase-contrast video microscopy with combined mean-shift processes , 2005, IEEE Transactions on Medical Imaging.

[40]  Junghae Suh,et al.  Real-time multiple-particle tracking: applications to drug and gene delivery. , 2005, Advanced drug delivery reviews.

[41]  Petros Koumoutsakos,et al.  Single-particle tracking of murine polyoma virus-like particles on live cells and artificial membranes. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[42]  P. Koumoutsakos,et al.  Feature point tracking and trajectory analysis for video imaging in cell biology. , 2005, Journal of structural biology.

[43]  Paul R Selvin,et al.  Fluorescence imaging with one nanometer accuracy: application to molecular motors. , 2005, Accounts of chemical research.

[44]  P. Lemaire,et al.  A Quantitative Approach to the Study of Cell Shapes and Interactions during Early Chordate Embryogenesis , 2006, Current Biology.

[45]  R. Tsien,et al.  The Fluorescent Toolbox for Assessing Protein Location and Function , 2006, Science.

[46]  Xiaobo Zhou,et al.  Nuclei Segmentation Using Marker-Controlled Watershed, Tracking Using Mean-Shift, and Kalman Filter in Time-Lapse Microscopy , 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.

[47]  J. Ellenberg,et al.  High-throughput fluorescence microscopy for systems biology , 2006, Nature Reviews Molecular Cell Biology.

[48]  Douglas B. Kell,et al.  Automatic tracking of biological cells and compartments using particle filters and active contours , 2006 .

[49]  Zhirong Bao,et al.  AceTree: a tool for visual analysis of Caenorhabditis elegans embryogenesis , 2006, BMC Bioinformatics.

[50]  B. Roysam,et al.  Automated Cell Lineage Construction: A Rapid Method to Analyze Clonal Development Established with Murine Neural Progenitor Cells , 2006, Cell cycle.

[51]  S. Shorte,et al.  Quantitative four-dimensional tracking of cytoplasmic and nuclear HIV-1 complexes , 2006, Nature Methods.

[52]  J. Olivo-Marin,et al.  Multiple Particle Tracking in 3-D+ Microscopy: Method and Application to the Tracking of Endocytosed Quantum Dots , 2006 .

[53]  John Isaac Murray,et al.  The lineaging of fluorescently-labeled Caenorhabditis elegans embryos with StarryNite and AceTree , 2006, Nature Protocols.

[54]  Scott T. Acton,et al.  A Monte Carlo approach to rolling leukocyte tracking in vivo , 2006, Medical Image Anal..

[55]  R. Shingai,et al.  Computer-driven automatic identification of locomotion states in Caenorhabditis elegans , 2006, Journal of Neuroscience Methods.

[56]  Ilya G. Goldberg,et al.  Modelling data across labs, genomes, space and time , 2006, Nature Cell Biology.

[57]  S. Ram,et al.  Beyond Rayleigh's criterion: a resolution measure with application to single-molecule microscopy. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[58]  David A Schiffmann,et al.  Open microscopy environment and findspots: integrating image informatics with quantitative multidimensional image analysis. , 2006, BioTechniques.

[59]  Paul W. Fieguth,et al.  Probabilistic Model-Based Cell Tracking , 2006, Int. J. Biomed. Imaging.

[60]  R. Waterston,et al.  Automated cell lineage tracing in Caenorhabditis elegans. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[61]  D. Dormann,et al.  Imaging of cell migration , 2006, The EMBO journal.

[62]  Michal Kozubek,et al.  Fast point-based 3-D alignment of live cells , 2006, IEEE Transactions on Image Processing.

[63]  E. Meijering,et al.  Tracking in molecular bioimaging , 2006, IEEE Signal Processing Magazine.

[64]  M. Unser,et al.  The colored revolution of bioimaging , 2006, IEEE Signal Processing Magazine.

[65]  Xiaobo Zhou,et al.  Informatics challenges of high-throughput microscopy , 2006, IEEE Signal Processing Magazine.

[66]  Julie A. Theriot,et al.  A correlation-based approach to calculate rotation and translation of moving cells , 2006, IEEE Transactions on Image Processing.

[67]  Jean-Christophe Olivo-Marin,et al.  On the digital trail of mobile cells , 2006, IEEE Signal Processing Magazine.

[68]  J. Zerubia,et al.  Gaussian approximations of fluorescence microscope point-spread function models. , 2007, Applied optics.

[69]  A. Trubuil,et al.  Visualization and quantification of vesicle trafficking on a three‐dimensional cytoskeleton network in living cells , 2007, Journal of microscopy.

[70]  Z. P. I N C U S,et al.  Comparison of quantitative methods for cell-shape analysis , 2007 .

[71]  Z Pincus,et al.  Comparison of quantitative methods for cell‐shape analysis , 2007, Journal of microscopy.

[72]  Badrinath Roysam,et al.  A multi‐model approach to simultaneous segmentation and classification of heterogeneous populations of cell nuclei in 3D confocal microscope images , 2007, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[73]  Takeo Kanade,et al.  Cell Population Tracking and Lineage Construction with Spatiotemporal Context , 2007, MICCAI.

[74]  Nicolas Roussel,et al.  A Computational Model for C. elegans Locomotory Behavior: Application to Multiworm Tracking , 2007, IEEE Transactions on Biomedical Engineering.

[75]  Qing Yang,et al.  Segmentation of heterogeneous blob objects through voting and level set formulation , 2007, Pattern Recognit. Lett..

[76]  Stephen T. C. Wong,et al.  Detection of molecular particles in live cells via machine learning , 2007, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[77]  Michael Liebling,et al.  Fast fluorescence microscopy for imaging the dynamics of embryonic development , 2008, HFSP journal.

[78]  Ji Won Yoon,et al.  Bayesian inference for improved single molecule fluorescence tracking. , 2008, Biophysical journal.

[79]  Thomas Kenner,et al.  The symphony of life. Importance, interaction, and visualization of biological rhythms. , 2008, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[80]  S. Hell.  Microscopy and its focal switch , 2008, Nature Methods.

[81]  Wiro J. Niessen,et al.  Particle Filtering for Multiple Object Tracking in Dynamic Fluorescence Microscopy Images: Application to Microtubule Growth Analysis , 2008, IEEE Transactions on Medical Imaging.

[82]  Arif Ghafoor,et al.  State of the Art in Information Extraction and Quantitative Analysis for Multimodality Biomolecular Imaging , 2008, Proceedings of the IEEE.

[83]  Hanchuan Peng,et al.  Bioimage informatics: a new area of engineering biology , 2008, Bioinform..

[84]  Philipp J. Keller,et al.  Reconstruction of Zebrafish Early Embryonic Development by Scanned Light Sheet Microscopy , 2008, Science.

[85]  Chronobiology observes a notable amount of rhythms at all organismic levels and over several orders of timemagnitude , .

[86]  K. Jaqaman,et al.  Robust single particle tracking in live cell time-lapse sequences , 2008, Nature Methods.

[87]  Wiro J. Niessen,et al.  Multiple object tracking in molecular bioimaging by Rao-Blackwellized marginal particle filtering , 2008, Medical Image Anal..

[88]  Takeo Kanade,et al.  Cell population tracking and lineage construction with spatiotemporal context , 2008, Medical Image Anal..

[89]  Karl Rohr,et al.  Nonrigid Registration of 3-D Multichannel Microscopy Images of Cell Nuclei , 2008, IEEE Transactions on Image Processing.

[90]  Thomas J. Nicholas,et al.  Automated analysis of embryonic gene expression with cellular resolution in C. elegans , 2008, Nature Methods.

[91]  Michael J Saxton,et al.  Single-particle tracking: connecting the dots , 2008, Nature Methods.

[92]  Erik Meijering,et al.  Chapter 15 – Time‐Lapse Imaging , 2008 .

[93]  Stephen T. C. Wong,et al.  Microscopic Image Analysis for Life Science Applications , 2008 .

[94]  Gaudenz Danuser,et al.  Computational processing and analysis of dynamic fluorescence image data. , 2008, Methods in cell biology.

[95]  Ying Chen,et al.  Automated 5-D analysis of cell migration and interaction in the thymic cortex from time-lapse sequences of 3-D multi-channel multi-photon images. , 2009, Journal of immunological methods.

[96]  Isaac N. Bankman,et al.  Handbook of medical image processing and analysis , 2009 .

[97]  Mubarak Shah,et al.  Automatic Tracking of Escherichia Coli in Phase-Contrast Microscopy Video , 2009, IEEE Transactions on Biomedical Engineering.

[98]  P. Eriksson,et al.  An automatic system for in vitro cell migration studies , 2009, Journal of microscopy.

[99]  D C Barber,et al.  Automated tracking of migrating cells in phase‐contrast video microscopy sequences using image registration , 2009, Journal of microscopy.

[100]  Karl Rohr,et al.  Deterministic and probabilistic approaches for tracking virus particles in time-lapse fluorescence microscopy image sequences , 2009, Medical Image Anal..

[101]  Xiaobo Zhou,et al.  A Novel Cell Segmentation Method and Cell Phase Identification Using Markov Model , 2009, IEEE Transactions on Information Technology in Biomedicine.

[102]  Jens Rittscher,et al.  Spatio-temporal cell cycle phase analysis using level sets and fast marching methods , 2009, Medical Image Anal..

[103]  Yannis Kalaidzidis,et al.  Multiple objects tracking in fluorescence microscopy , 2008, Journal of mathematical biology.

[104]  Qiang Wu,et al.  Microscope Image Processing , 2010 .

[105]  Wiro J. Niessen,et al.  Quantitative Comparison of Spot Detection Methods in Fluorescence Microscopy , 2010, IEEE Transactions on Medical Imaging.

[106]  Tom Vercauteren.  Microscopic Image Analysis for Life Science Applications , .