Analysis of live cell images: Methods, tools and opportunities.

[1]  J. Lippincott-Schwartz,et al.  Imaging Intracellular Fluorescent Proteins at Nanometer Resolution , 2006, Science.

[2]  R. Durbin,et al.  Phenotypic profiling of the human genome by time-lapse microscopy reveals cell division genes , 2010, Nature.

[3]  Christoph H. Lampert,et al.  Learning to detect unseen object classes by between-class attribute transfer , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[4]  Luca Maria Gambardella,et al.  Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images , 2012, NIPS.

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

[6]  K. Deisseroth,et al.  Millisecond-timescale, genetically targeted optical control of neural activity , 2005, Nature Neuroscience.

[7]  Nasir M. Rajpoot,et al.  A Nonlinear Mapping Approach to Stain Normalization in Digital Histopathology Images Using Image-Specific Color Deconvolution , 2014, IEEE Transactions on Biomedical Engineering.

[8]  Scott E. Fraser,et al.  Imaging in Systems Biology , 2007, Cell.

[9]  C Chen,et al.  Constraint factor graph cut–based active contour method for automated cellular image segmentation in RNAi screening , 2008, Journal of microscopy.

[10]  Takeo Kanade,et al.  Cell image analysis: Algorithms, system and applications , 2011, 2011 IEEE Workshop on Applications of Computer Vision (WACV).

[11]  S. Megason,et al.  In toto imaging of embryogenesis with confocal time-lapse microscopy. , 2009, Methods in molecular biology.

[12]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[13]  Martin Weigert,et al.  ClearVolume: open-source live 3D visualization for light-sheet microscopy , 2015, Nature Methods.

[14]  Michael J Ackerman,et al.  Engineering and algorithm design for an image processing Api: a technical report on ITK--the Insight Toolkit. , 2002, Studies in health technology and informatics.

[15]  Singh Shantanu,et al.  Identifying Nuclear Phenotypes Using Semi-supervised Metric Learning , 2011 .

[16]  Fabian Rudolf,et al.  Accurate cell segmentation in microscopy images using membrane patterns , 2014, Bioinform..

[17]  Andrew Zisserman,et al.  Temporal models for mitotic phase labelling , 2014, Medical Image Anal..

[18]  Dana H. Ballard,et al.  Generalizing the Hough transform to detect arbitrary shapes , 1981, Pattern Recognit..

[19]  David L. Donoho,et al.  De-noising by soft-thresholding , 1995, IEEE Trans. Inf. Theory.

[20]  Jieyue Li,et al.  Toward the virtual cell: Automated approaches to building models of subcellular organization “learned” from microscopy images , 2012, BioEssays : news and reviews in molecular, cellular and developmental biology.

[21]  Jens Rittscher,et al.  Towards quantifying the impact of cell boundary estimation on morphometric analysis for phenotypic screening , 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

[22]  Mark R. Winter,et al.  Computational Image Analysis Reveals Intrinsic Multigenerational Differences between Anterior and Posterior Cerebral Cortex Neural Progenitor Cells , 2015, Stem Cell Reports.

[23]  Olga Veksler,et al.  Fast approximate energy minimization via graph cuts , 2001, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[24]  Trevor Darrell,et al.  Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[25]  Marc Bickle,et al.  Screening out irrelevant cell-based models of disease , 2016, Nature Reviews Drug Discovery.

[26]  Anne E Carpenter,et al.  Visualization of image data from cells to organisms , 2010, Nature Methods.

[27]  Jean-Christophe Olivo-Marin,et al.  Biophysical measurements in 2D and 3D live cell imaging using fluid dynamics and optical flow , 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

[28]  M. Omair Ahmad,et al.  Tracking Biological Cells in Time-Lapse Microscopy: An Adaptive Technique Combining Motion and Topological Features , 2011, IEEE Transactions on Biomedical Engineering.

[29]  Thierry Blu,et al.  Fast interscale wavelet denoising of Poisson-corrupted images , 2010, Signal Process..

[30]  Wilhelm Burger,et al.  Digital Image Processing - An Algorithmic Introduction using Java , 2008, Texts in Computer Science.

[31]  Chao Wang,et al.  iGPSe: A visual analytic system for integrative genomic based cancer patient stratification , 2014, BMC Bioinformatics.

[32]  Anna Goldenberg,et al.  TensorFlow: Biology's Gateway to Deep Learning? , 2016, Cell systems.

[33]  M. Chalfie.  GREEN FLUORESCENT PROTEIN , 1995, Photochemistry and photobiology.

[34]  Gustavo K. Rohde,et al.  A Linear Optimal Transportation Framework for Quantifying and Visualizing Variations in Sets of Images , 2012, International Journal of Computer Vision.

[35]  G. Alagic,et al.  #p , 2019, Quantum Inf. Comput..

[36]  Nathalie Harder,et al.  A benchmark for comparison of cell tracking algorithms , 2014, Bioinform..

[37]  Anne E Carpenter,et al.  CP-CHARM: segmentation-free image classification made accessible , 2016, BMC Bioinformatics.

[38]  A. Vedaldi,et al.  Synthetic Data for Text Localisation in Natural Images , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[39]  Rongkun Shen,et al.  Corrigendum: miR-218 is essential to establish motor neuron fate as a downstream effector of Isl1–Lhx3 , 2015, Nature Communications.

[40]  Alberto Diaspro,et al.  The 2015 super-resolution microscopy roadmap , 2015, Journal of Physics D: Applied Physics.

[41]  Fred A. Hamprecht,et al.  Active Structured Learning for Cell Tracking: Algorithm, Framework, and Usability , 2014, IEEE Transactions on Medical Imaging.

[42]  Donald Geman,et al.  Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[43]  J. Swedlow,et al.  A workingperson's guide to deconvolution in light microscopy. , 2001, BioTechniques.

[44]  Karl Rohr,et al.  Tracking multiple particles in fluorescence microscopy images via probabilistic data association , 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[45]  Stochastic Relaxation , 2014, Computer Vision, A Reference Guide.

[46]  Bidyut Baran Chaudhuri,et al.  Region based techniques for segmentation of volumetric histo-pathological images , 2000, Comput. Methods Programs Biomed..

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

[48]  V. Garovic,et al.  Beyond Bar and Line Graphs: Time for a New Data Presentation Paradigm , 2015, PLoS biology.

[49]  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.

[50]  Tai-Yu Chiu,et al.  An automated tracking system to measure the dynamic properties of vesicles in living cells , 2007, Microscopy research and technique.

[51]  Ramakant Nevatia,et al.  Multiple Target Tracking by Learning-Based Hierarchical Association of Detection Responses , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[52]  Guigang Zhang,et al.  Deep Learning , 2016, Int. J. Semantic Comput..

[53]  Anne E Carpenter,et al.  CellProfiler Tracer: exploring and validating high-throughput, time-lapse microscopy image data , 2015, BMC Bioinformatics.

[54]  Tom Misteli,et al.  Locus-specific and activity-independent gene repositioning during early tumorigenesis , 2008, The Journal of cell biology.

[55]  Badrinath Roysam,et al.  The FARSIGHT Trace Editor: An Open Source Tool for 3-D Inspection and Efficient Pattern Analysis Aided Editing of Automated Neuronal Reconstructions , 2011, Neuroinformatics.

[56]  Ning Xu,et al.  Object segmentation using graph cuts based active contours , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[57]  William J. Godinez,et al.  Objective comparison of particle tracking methods , 2014, Nature Methods.

[58]  Vladimir Kolmogorov,et al.  An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision , 2004, IEEE Trans. Pattern Anal. Mach. Intell..

[59]  Wiro J. Niessen,et al.  Advanced Level-Set-Based Cell Tracking in Time-Lapse Fluorescence Microscopy , 2010, IEEE Transactions on Medical Imaging.

[60]  R. Siezen,et al.  others , 1999, Microbial Biotechnology.

[61]  Thomas Brox,et al.  U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.

[62]  Luis Ibáñez,et al.  The Design of SimpleITK , 2013, Front. Neuroinform..

[63]  Ramakant Nevatia,et al.  An online learned CRF model for multi-target tracking , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[64]  Wolfram Klitzsch.  [K] , 1962, Dendara. Catalogue des dieux et des offrandes.

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

[66]  Nasser M. Nasrabadi,et al.  Pattern Recognition and Machine Learning , 2006, Technometrics.

[67]  Gabriel Brostow,et al.  QuantiFly: Robust Trainable Software for Automated Drosophila Egg Counting , 2015, PloS one.

[68]  Vladimir Kolmogorov,et al.  An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision , 2001, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[69]  Bálint Antal,et al.  Mineotaur: a tool for high-content microscopy screen sharing and visual analytics , 2015, Genome Biology.

[70]  P. J. Green,et al.  Density Estimation for Statistics and Data Analysis , 1987 .

[71]  Alex Zelinsky,et al.  Learning OpenCV---Computer Vision with the OpenCV Library (Bradski, G.R. et al.; 2008)[On the Shelf] , 2009, IEEE Robotics & Automation Magazine.

[72]  Anne L Plant,et al.  Improved reproducibility by assuring confidence in measurements in biomedical research , 2014, Nature Methods.

[73]  Sally Temple,et al.  LEVER: software tools for segmentation, tracking and lineaging of proliferating cells , 2016, Bioinform..

[74]  Paul F. Whelan,et al.  A Novel Framework for Cellular Tracking and Mitosis Detection in Dense Phase Contrast Microscopy Images , 2013, IEEE Journal of Biomedical and Health Informatics.

[75]  S. Omholt,et al.  Phenomics: the next challenge , 2010, Nature Reviews Genetics.

[76]  Jean Ponce,et al.  Computer Vision: A Modern Approach , 2002 .

[77]  Jason E. Stewart,et al.  Minimum information about a microarray experiment (MIAME)—toward standards for microarray data , 2001, Nature Genetics.

[78]  Alfred O. Hero,et al.  Signal Processing Challenges in Quantitative 3-D Cell Morphology: More than meets the eye , 2015, IEEE Signal Processing Magazine.

[79]  Takeo Kanade,et al.  Cell segmentation in phase contrast microscopy images via semi-supervised classification over optics-related features , 2013, Medical Image Anal..

[80]  Luca Maria Gambardella,et al.  Assessment of algorithms for mitosis detection in breast cancer histopathology images , 2014, Medical Image Anal..

[81]  B. S. Manjunath,et al.  Biological imaging software tools , 2012, Nature Methods.

[82]  L. Loew,et al.  Quantitative cell biology with the Virtual Cell. , 2003, Trends in cell biology.

[83]  J. Rittscher.  Characterization of biological processes through automated image analysis. , 2010, Annual review of biomedical engineering.

[84]  Jens Rittscher,et al.  Utilizing Phase Retardation Features for Segmenting Cells in Phase Contrast Microscopy Images , 2014, MIUA.

[85]  M. Model,et al.  Intensity Calibration and Shading Correction for Fluorescence Microscopes , 2006, Current protocols in cytometry.

[86]  Roger Y. Tsien,et al.  Creating new fluorescent probes for cell biology , 2003, Nature Reviews Molecular Cell Biology.

[87]  Charles Kervrann,et al.  A Guided Tour of Selected Image Processing and Analysis Methods for Fluorescence and Electron Microscopy , 2016, IEEE Journal of Selected Topics in Signal Processing.

[88]  Charu C. Aggarwal,et al.  Neural Networks and Deep Learning , 2018, Springer International Publishing.

[89]  Isuru D. Jayasinghe,et al.  Combining confocal and single molecule localisation microscopy: A correlative approach to multi-scale tissue imaging. , 2015, Methods.

[90]  Chris Bakal,et al.  Visualizing cellular imaging data using PhenoPlot , 2015, Nature Communications.

[91]  K. Egiazarian,et al.  Blind image deconvolution , 2007 .

[92]  James S. Duncan,et al.  Boundary Finding with Parametrically Deformable Models , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[93]  Lief E. Fenno,et al.  The development and application of optogenetics. , 2011, Annual review of neuroscience.

[94]  Sébastien Barré,et al.  Integrating segmentation methods from the Insight Toolkit into a visualization application , 2005, Medical Image Anal..

[95]  Andrew Zisserman,et al.  Detecting overlapping instances in microscopy images using extremal region trees , 2016, Medical Image Anal..

[96]  Anil K. Jain,et al.  Segmentation of Muscle Cell Pictures: A Preliminary Study , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[97]  Erik Meijering,et al.  Methods for cell and particle tracking. , 2012, Methods in enzymology.

[98]  Margrit Betke,et al.  Cell morphology classification and clutter mitigation in phase-contrast microscopy images using machine learning , 2011, Machine Vision and Applications.

[99]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[100]  Ullrich Köthe,et al.  Deltr: Digital embryo lineage tree reconstructor , 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[101]  Qingming Luo,et al.  iCut: an Integrative Cut Algorithm Enables Accurate Segmentation of Touching Cells , 2015, Scientific Reports.

[102]  Nicolas Chenouard,et al.  Icy: an open bioimage informatics platform for extended reproducible research , 2012, Nature Methods.

[103]  Marie-Pierre Jolly,et al.  Interactive Organ Segmentation Using Graph Cuts , 2000, MICCAI.

[104]  Edward H. Adelson,et al.  The Design and Use of Steerable Filters , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[105]  Milan Sonka,et al.  Cell Segmentation, Tracking, and Mitosis Detection Using Temporal Context , 2005, MICCAI.

[106]  Jianbo Shi,et al.  Spectral segmentation with multiscale graph decomposition , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[107]  Martín Abadi,et al.  TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , 2016, ArXiv.

[108]  Raghu Machiraju,et al.  Visualizing Multidimensional Data with Glyph SPLOMs , 2014, Comput. Graph. Forum.

[109]  Michael Unser,et al.  Snakuscules , 2008, IEEE Transactions on Image Processing.

[110]  Erik H. W. Meijering,et al.  Cell Segmentation: 50 Years Down the Road [Life Sciences] , 2012, IEEE Signal Processing Magazine.

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

[112]  Anne E Carpenter,et al.  CellProfiler: image analysis software for identifying and quantifying cell phenotypes , 2006, Genome Biology.

[113]  Emmanuelle Gouillart,et al.  scikit-image: image processing in Python , 2014, PeerJ.

[114]  Jens Rittscher,et al.  Coupled minimum-cost flow cell tracking for high-throughput quantitative analysis , 2011, Medical Image Anal..

[115]  Gaudenz Danuser,et al.  Fluctuations of intracellular forces during cell protrusion , 2008, Nature Cell Biology.

[116]  K. Yeow,et al.  Cellular imaging in drug discovery , 2006, Nature Reviews Drug Discovery.

[117]  L Landmann,et al.  Deconvolution improves colocalization analysis of multiple fluorochromes in 3D confocal data sets more than filtering techniques , 2002, Journal of microscopy.

[118]  Stuart E. Berg,et al.  Segmenting and Tracking Multiple Dividing Targets Using ilastik. , 2016, Advances in anatomy, embryology, and cell biology.

[119]  R. Dasari,et al.  Diffraction phase microscopy for quantifying cell structure and dynamics. , 2006, Optics letters.

[120]  Chang Huang,et al.  Learning to associate: HybridBoosted multi-target tracker for crowded scene , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[121]  Jens Rittscher,et al.  Identifying Nuclear Phenotypes Using Semi-supervised Metric Learning , 2011, IPMI.

[122]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[123]  Xiaobo Zhou,et al.  Multiple Nuclei Tracking Using Integer Programming for Quantitative Cancer Cell Cycle Analysis , 2010, IEEE Transactions on Medical Imaging.

[124]  Badrinath Roysam,et al.  A hybrid 3D watershed algorithm incorporating gradient cues and object models for automatic segmentation of nuclei in confocal image stacks , 2003, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

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

[126]  Adele P. Peskin,et al.  Survey statistics of automated segmentations applied to optical imaging of mammalian cells , 2015, BMC Bioinformatics.

[127]  P. Allavena,et al.  Cancer-related inflammation , 2008, Nature.

[128]  Pascal Fua,et al.  SLIC Superpixels Compared to State-of-the-Art Superpixel Methods , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[129]  Harold W. Kuhn,et al.  The Hungarian method for the assignment problem , 1955, 50 Years of Integer Programming.

[130]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[131]  M. Rubin,et al.  An emerging role for cytopathology in precision oncology , 2016, Cancer cytopathology.

[132]  Jitendra Malik,et al.  Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[133]  Yuan Liu,et al.  The DIADEM and Beyond , 2011, Neuroinformatics.

[134]  Yann LeCun,et al.  Toward automatic phenotyping of developing embryos from videos , 2005, IEEE Transactions on Image Processing.

[135]  Takeo Kanade,et al.  Reliable cell tracking by global data association , 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[136]  Fred A. Hamprecht,et al.  Structured Learning for Cell Tracking , 2011, NIPS.

[137]  I. Smal,et al.  Tracking in cell and developmental biology. , 2009, Seminars in cell & developmental biology.

[138]  Hanchuan Peng,et al.  Extensible visualization and analysis for multidimensional images using Vaa3D , 2014, Nature Protocols.

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

[140]  Jean-Christophe Olivo-Marin,et al.  Fluid optical flow for forces and pressure field estimation in cellular biology , 2012, 2012 19th IEEE International Conference on Image Processing.

[141]  Alvis Brazma,et al.  Minimum Information About a Microarray Experiment (MIAME) – Successes, Failures, Challenges , 2009, TheScientificWorldJournal.

[142]  Michal Kozubek,et al.  Generation of digital phantoms of cell nuclei and simulation of image formation in 3D image cytometry , 2009, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[143]  Satwik Rajaram,et al.  PhenoRipper: software for rapidly profiling microscopy images , 2012, Nature Methods.

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

[145]  Johannes E. Schindelin,et al.  Fiji: an open-source platform for biological-image analysis , 2012, Nature Methods.

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

[147]  Raghu Machiraju,et al.  Non parametric cell nuclei segmentation based on a tracking over depth from 3D fluorescence confocal images , 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

[148]  Joel H. Saltz,et al.  Ieee Transactions on Visualization and Computer Graphics Reconstruction of Cellular Biological Structures from Optical Microscopy Data , 2022 .

[149]  John T Elliott,et al.  Comparison of segmentation algorithms for fluorescence microscopy images of cells , 2011, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[150]  Ramakant Nevatia,et al.  Robust Object Tracking by Hierarchical Association of Detection Responses , 2008, ECCV.

[151]  Chris Bakal,et al.  Cross-talk between Rho and Rac GTPases drives deterministic exploration of cellular shape space and morphological heterogeneity , 2014, Open Biology.

[152]  R. Kimmel,et al.  Geodesic Active Contours , 1995, Proceedings of IEEE International Conference on Computer Vision.

[153]  L. Hutchinson.  Skin cancer: Golden age of melanoma therapy , 2015, Nature Reviews Clinical Oncology.

[154]  H. Chiel,et al.  Fast noninvasive activation and inhibition of neural and network activity by vertebrate rhodopsin and green algae channelrhodopsin. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[155]  F. Balkwill,et al.  Inflammation and cancer: advances and new agents , 2015, Nature Reviews Clinical Oncology.

[156]  Taner Akkin,et al.  Spectral-domain optical coherence phase microscopy for quantitative phase-contrast imaging. , 2005, Optics letters.

[157]  Lei Zhang,et al.  Active contours with selective local or global segmentation: A new formulation and level set method , 2010, Image Vis. Comput..

[158]  Peter Gluchowski,et al.  F , 1934, The Herodotus Encyclopedia.

[159]  Patrick Bouthemy,et al.  Patch-Based Nonlocal Functional for Denoising Fluorescence Microscopy Image Sequences , 2010, IEEE Transactions on Medical Imaging.

[160]  Hans Clevers,et al.  Organoid cultures for the analysis of cancer phenotypes. , 2014, Current opinion in genetics & development.

[161]  Michael Unser,et al.  Snakes on a Plane: A perfect snap for bioimage analysis , 2015, IEEE Signal Processing Magazine.

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

[163]  Anne E Carpenter,et al.  Multiplex Cytological Profiling Assay to Measure Diverse Cellular States , 2013, PloS one.

[164]  Hayley E. Francies,et al.  What role could organoids play in the personalization of cancer treatment? , 2015, Pharmacogenomics.

[165]  Ambuj K. Singh,et al.  Bisque: a platform for bioimage analysis and management , 2009, Bioinform..

[166]  Anil K. Jain,et al.  Unsupervised texture segmentation using Gabor filters , 1990, 1990 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings.

[167]  Baba C. Vemuri,et al.  Shape Modeling with Front Propagation: A Level Set Approach , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[168]  Prabhakar R. Gudla,et al.  Automatic segmentation and supervised learning‐based selection of nuclei in cancer tissue images , 2012, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

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

[170]  Andrew Zisserman,et al.  Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.

[171]  D. Swinney,et al.  How were new medicines discovered? , 2011, Nature Reviews Drug Discovery.

[172]  Simone Calderara,et al.  Visual Tracking: An Experimental Survey , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[173]  David Svoboda,et al.  On Simulating 3D Fluorescent Microscope Images , 2007, CAIP.

[174]  Oliver Bendel.  [E] , 1896, Les noms officiels des communes de Wallonie, de Bruxelles-Capitale et de la communaute germanophone.

[175]  Kurt Hornik,et al.  Multilayer feedforward networks are universal approximators , 1989, Neural Networks.

[176]  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.

[177]  M.,et al.  Statistical and Structural Approaches to Texture , 2022 .

[178]  Joakim Jalden,et al.  Global Linking of Cell Tracks Using the Viterbi Algorithm , 2015, IEEE Transactions on Medical Imaging.

[179]  E. Lundberg,et al.  Towards a knowledge-based Human Protein Atlas , 2010, Nature Biotechnology.

[180]  E. Bamberg,et al.  Light Activation of Channelrhodopsin-2 in Excitable Cells of Caenorhabditis elegans Triggers Rapid Behavioral Responses , 2005, Current Biology.

[181]  Stephen Taylor,et al.  HTML5 PivotViewer: high-throughput visualization and querying of image data on the web , 2014, Bioinform..

[182]  Anne E Carpenter,et al.  Annotated high-throughput microscopy image sets for validation , 2012, Nature Methods.