Biometrics from Cellular Imaging
暂无分享,去创建一个
Sinem Aslan | Alice Othmani | Asm Shihavuddin | Amine Nait-Ali | Sreetama Basu | Amulya Nidhi Shrivastava | Francesco De Carli | Amesefe Delase Afua | Alice Othmani | A. Nait-ali | Sreetama Basu | A. Shrivastava | ASM Shihavuddin | F. Carli | Sinem Aslan | A. Nait-Ali
[1] N. Renier,et al. iDISCO: A Simple, Rapid Method to Immunolabel Large Tissue Samples for Volume Imaging , 2014, Cell.
[2] B. Chazotte,et al. Labeling mitochondria with MitoTracker dyes. , 2011, Cold Spring Harbor protocols.
[3] Aaron S. Andalman,et al. Structural and molecular interrogation of intact biological systems , 2013, Nature.
[4] Johannes E. Schindelin,et al. Fiji: an open-source platform for biological-image analysis , 2012, Nature Methods.
[5] Jonathan Pevsner,et al. Reduced representation optical methylation mapping (R2OM2) , 2017 .
[6] David Svoboda,et al. MitoGen: A Framework for Generating 3D Synthetic Time-Lapse Sequences of Cell Populations in Fluorescence Microscopy , 2017, IEEE Transactions on Medical Imaging.
[7] Shannon M. Mumenthaler,et al. A high-content image-based method for quantitatively studying context-dependent cell population dynamics , 2016, Scientific Reports.
[8] M. Prunotto,et al. Opportunities and challenges in phenotypic drug discovery: an industry perspective , 2017, Nature Reviews Drug Discovery.
[9] Marc Bickle,et al. The beautiful cell: high-content screening in drug discovery , 2010, Analytical and bioanalytical chemistry.
[10] J. J. Macklin,et al. A general method to improve fluorophores for live-cell and single-molecule microscopy , 2014, Nature Methods.
[11] J. Lippincott-Schwartz,et al. High-density mapping of single-molecule trajectories with photoactivated localization microscopy , 2008, Nature Methods.
[12] F. Gasparri,et al. The development of high-content screening (HCS) technology and its importance to drug discovery , 2016, Expert opinion on drug discovery.
[13] James S. Duncan,et al. Tracking Clathrin Coated Pits with a Multiple Hypothesis Based Method , 2010, MICCAI.
[14] F. Crick,et al. Molecular Structure of Nucleic Acids: A Structure for Deoxyribose Nucleic Acid , 1953, Nature.
[15] Anne E Carpenter,et al. CellProfiler: image analysis software for identifying and quantifying cell phenotypes , 2006, Genome Biology.
[16] Daniel Choquet,et al. Super-Resolution Imaging Reveals That AMPA Receptors Inside Synapses Are Dynamically Organized in Nanodomains Regulated by PSD95 , 2013, The Journal of Neuroscience.
[17] Michael Unser,et al. Complex wavelets for extended depth‐of‐field: A new method for the fusion of multichannel microscopy images , 2004, Microscopy research and technique.
[18] Swee Lay Thein,et al. Hypervariable ‘minisatellite’ regions in human DNA , 1985, Nature.
[19] Victoria J Allan,et al. Light Microscopy Techniques for Live Cell Imaging , 2003, Science.
[20] Rui Tan,et al. cellXpress: a fast and user-friendly software platform for profiling cellular phenotypes , 2013, BMC Bioinformatics.
[21] Antoine Triller,et al. Dynamic micro-organization of P2X7 receptors revealed by PALM based single particle tracking , 2013, Front. Cell. Neurosci..
[22] Mohamed-Jalal Fadili,et al. Multiscale Variance-Stabilizing Transform for Mixed-Poisson-Gaussian Processes and its Applications in Bioimaging , 2007, 2007 IEEE International Conference on Image Processing.
[23] Callen T Wallace,et al. Data management and archiving in a large microscopy‐and‐imaging, multi‐user facility: Problems and solutions , 2015, Molecular reproduction and development.
[24] Nasir M. Rajpoot,et al. Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images , 2016, IEEE Trans. Medical Imaging.
[25] Lan Fan,et al. Pharmacogenetics of drugs withdrawn from the market. , 2012, Pharmacogenomics.
[26] Giovanni Coppola,et al. Neural Circuit-Specialized Astrocytes: Transcriptomic, Proteomic, Morphological, and Functional Evidence , 2017, Neuron.
[27] P. Koumoutsakos,et al. Feature point tracking and trajectory analysis for video imaging in cell biology. , 2005, Journal of structural biology.
[28] Simon C. Potter,et al. Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls , 2007, Nature.
[29] Bahram Parvin,et al. BioSig3D: High Content Screening of Three-Dimensional Cell Culture Models , 2016, PloS one.
[30] A. Sergé,et al. Dynamic multiple-target tracing to probe spatiotemporal cartography of cell membranes , 2008, Nature Methods.
[31] Christoph Cremer,et al. High-precision distance microscopy of 3D nanostructures by a spatially modulated excitation fluorescence microscope , 1997, European Conference on Biomedical Optics.
[32] Colin J. R. Sheppard,et al. Signal‐to‐noise ratio in confocal microscope systems , 1992 .
[33] E. Cuche,et al. Digital holography for quantitative phase-contrast imaging. , 1999, Optics letters.
[34] Kan Oguma,et al. A revised check-list of the chromosome number in vertebrata , 1932, Journal of Genetics.
[35] David Svoboda,et al. TRAgen: A Tool for Generation of Synthetic Time-Lapse Image Sequences of Living Cells , 2015, ICIAP.
[36] M. Heilemann,et al. Super-Resolution Microscopy Reveals Specific Recruitment of HIV-1 Envelope Proteins to Viral Assembly Sites Dependent on the Envelope C-Terminal Tail , 2013, PLoS pathogens.
[37] B. van Ginneken,et al. Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis , 2016, Scientific Reports.
[38] Erik Meijering,et al. Imagining the future of bioimage analysis , 2016, Nature Biotechnology.
[39] Ellen C. Jensen*,et al. Overview of Live‐Cell Imaging: Requirements and Methods Used , 2013, Anatomical record.
[40] E. Cuche,et al. Digital holographic microscopy: a noninvasive contrast imaging technique allowing quantitative visualization of living cells with subwavelength axial accuracy. , 2005, Optics letters.
[41] Pekka Ruusuvuori,et al. Virtual cell imaging: A review on simulation methods employed in image cytometry , 2016, Cytometry. Part A : the journal of the International Society for Analytical Cytology.
[42] Bin Zheng,et al. Optical and Digital Microscopic Imaging Techniques and Applications in Pathology , 2011, Analytical cellular pathology.
[43] Tobias Pietzsch,et al. BigDataViewer: visualization and processing for large image data sets , 2015, Nature Methods.
[44] Ran Su,et al. High-throughput imaging-based nephrotoxicity prediction for xenobiotics with diverse chemical structures , 2015, Archives of Toxicology.
[45] Marleen de Bruijne,et al. A Genome-Wide Association Study Identifies Five Loci Influencing Facial Morphology in Europeans , 2012, PLoS genetics.
[46] T. Cech,et al. Live Cell Imaging Reveals the Dynamics of Telomerase Recruitment to Telomeres , 2016, Cell.
[47] G. Thollet,et al. A history of scanning electron microscopy developments: towards "wet-STEM" imaging. , 2007, Micron.
[48] G. Binnig,et al. Scanning tunneling microscopy , 1984 .
[49] P. Jacobs,et al. A Case of Human Intersexuality Having a Possible XXY Sex-Determining Mechanism , 1959, Nature.
[50] Monya Baker,et al. Cellular imaging: Taking a long, hard look , 2010, Nature.
[51] S. Goderie,et al. Intrinsic programs of patterned cell lineages in isolated vertebrate CNS ventricular zone cells. , 1998, Development.
[52] Keng C Chou,et al. Review of Super-Resolution Fluorescence Microscopy for Biology , 2011, Applied spectroscopy.
[53] Erik H. W. Meijering,et al. Cell Segmentation: 50 Years Down the Road [Life Sciences] , 2012, IEEE Signal Processing Magazine.
[54] Beate Sick,et al. Single-Cell Phenotype Classification Using Deep Convolutional Neural Networks , 2016, Journal of biomolecular screening.
[55] C. E. Ford,et al. A sex-chromosome anomaly in a case of gonadal dysgenesis (Turner's syndrome). , 1959, Lancet.
[56] M. Davidson,et al. Extended-resolution structured illumination imaging of endocytic and cytoskeletal dynamics , 2015, Science.
[57] M. Boutros,et al. Microscopy-Based High-Content Screening , 2015, Cell.
[58] J. McPherson,et al. Coming of age: ten years of next-generation sequencing technologies , 2016, Nature Reviews Genetics.
[59] M L Mendelsohn,et al. THE ANALYSIS OF CELL IMAGES * , 1966, Annals of the New York Academy of Sciences.
[60] Francis Loth,et al. Systemic inflammation regulates microglial responses to tissue damage in vivo , 2014, Glia.
[61] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[62] P. Kwok,et al. Genome mapping on nanochannel arrays for structural variation analysis and sequence assembly , 2012, Nature Biotechnology.
[63] Jérôme Lejeune,et al. Etude des chromosomes somatiques de neuf enfants mongoliens. , 1959 .
[64] Brian P. Mehl,et al. Bright photoactivatable fluorophores for single-molecule imaging , 2016 .
[65] W. Klein,et al. Deleterious Effects of Amyloid β Oligomers Acting as an Extracellular Scaffold for mGluR5 , 2010, Neuron.
[66] William J. Godinez,et al. Objective comparison of particle tracking methods , 2014, Nature Methods.
[67] Nicolas Fritz,et al. α‐synuclein assemblies sequester neuronal α3‐Na+/K+‐ATPase and impair Na+ gradient , 2015, The EMBO journal.
[68] Rolando González-José,et al. A genome-wide association scan implicates DCHS2, RUNX2, GLI3, PAX1 and EDAR in human facial variation , 2016, Nature Communications.
[69] Thierry Dorval,et al. HCS-Analyzer: open source software for high-content screening data correction and analysis , 2012, Bioinform..
[70] Wiro J. Niessen,et al. A new detection scheme for multiple object tracking in fluorescence microscopy by joint probabilistic data association filtering , 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[71] P. M. Pereira,et al. Cell shape dynamics during the staphylococcal cell cycle , 2015, Nature Communications.
[72] William R. Gray Roncal,et al. Saturated Reconstruction of a Volume of Neocortex , 2015, Cell.
[73] Nicolas Chenouard,et al. Icy: an open bioimage informatics platform for extended reproducible research , 2012, Nature Methods.
[74] Alain Chédotal,et al. Tridimensional Visualization and Analysis of Early Human Development , 2017, Cell.
[75] Antoine Triller,et al. β‐amyloid and ATP‐induced diffusional trapping of astrocyte and neuronal metabotropic glutamate type‐5 receptors , 2013, Glia.
[76] Kendall Preston,et al. Computer Processing of Biomedical Images , 1976, Computer.
[77] J. Elf,et al. Extracting intracellular diffusive states and transition rates from single-molecule tracking data , 2013, Nature Methods.
[78] Wiro J. Niessen,et al. Quantitative Comparison of Spot Detection Methods in Fluorescence Microscopy , 2010, IEEE Transactions on Medical Imaging.
[79] Asm Shihavuddin,et al. Smooth 2D manifold extraction from 3D image stack , 2017, Nature Communications.
[80] Matthew D. Lew,et al. Extending microscopic resolution with single-molecule imaging and active control. , 2012, Annual review of biophysics.
[81] E. Abbe. Beiträge zur Theorie des Mikroskops und der mikroskopischen Wahrnehmung , 1873 .
[82] Maxime Dahan,et al. Mapping the energy and diffusion landscapes of membrane proteins at the cell surface using high-density single-molecule imaging and Bayesian inference: application to the multiscale dynamics of glycine receptors in the neuronal membrane. , 2014, Biophysical journal.
[83] Marc Bickle,et al. Screening out irrelevant cell-based models of disease , 2016, Nature Reviews Drug Discovery.
[84] D C Swinney,et al. Phenotypic vs. Target‐Based Drug Discovery for First‐in‐Class Medicines , 2013, Clinical pharmacology and therapeutics.
[85] Dimitri Van De Ville,et al. Model-Based 2.5-D Deconvolution for Extended Depth of Field in Brightfield Microscopy , 2008, IEEE Transactions on Image Processing.
[86] Christian Gieger,et al. Six new loci associated with body mass index highlight a neuronal influence on body weight regulation , 2009, Nature Genetics.
[87] Anne E Carpenter,et al. Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software , 2011, Bioinform..
[88] J. Rittscher. Characterization of biological processes through automated image analysis. , 2010, Annual review of biomedical engineering.
[89] Antoine Triller,et al. Physico-Pathologic Mechanisms Involved in Neurodegeneration: Misfolded Protein-Plasma Membrane Interactions , 2017, Neuron.