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The Open Microscopy Environment (OME) Data Model and XML file: open tools for informatics and quantitative analysis in biological imaging.4-D single particle tracking of synthetic and proteinaceous microspheres reveals preferential movement of nuclear particles along chromatin - poor tracksComputational imaging, sensing and diagnostics for global health applicationsComputer-assisted image analysis protocol that quantitatively measures subnuclear protein organization in cell populations.Characterization of macrolesions induced by myocardial cavitation-enabled therapy.Quantitative imaging of protein interactions in the cell nucleus.Quantitative methods to analyze subnuclear protein organization in cell populations with varying degrees of protein expression.Automated cell lineage tracing in Caenorhabditis elegans.A review of imaging techniques for systems biology.3D time series analysis of cell shape using Laplacian approaches.Nuclear body movement is determined by chromatin accessibility and dynamics.Analysis of cellular events using CellCard System in cell-based high-content multiplexed assays.A novel application of motion analysis for detecting stress responses in embryos at different stages of developmentAutomated local bright feature image analysis of nuclear protein distribution identifies changes in tissue phenotype.Three-dimensional distribution of vessels, passage cells and lateral roots along the root axis of winter wheat (Triticum aestivum)Three-dimensional morphometric comparison of normal and apoptotic endothelial cells based on laser scanning confocal microscopy observation.Positive and negative adaptors in T-cell signalling.Object Segmentation and Ground Truth in 3D Embryonic ImagingSpace as the final frontier in stochastic simulations of biological systems.Joint level-set and spatio-temporal motion detection for cell segmentationCell microarrays and RNA interference chip away at gene function.Modified cuckoo search algorithm in microscopic image segmentation of hippocampus.Student learning of early embryonic development via the utilization of research resources from the nematode Caenorhabditis elegans.Quantitative measurement of protein relocalization in live cells.Live cell imaging and systems biology.Bioinformatics approaches to single-cell analysis in developmental biology.Seeing Is Believing: Quantifying Is Convincing: Computational Image Analysis in Biology.Time lapse imaging techniques for comparison of mineralization dynamics in primary murine osteoblasts and the late osteoblast/early osteocyte-like cell line MLO-A5.Impedance biosensor for real-time monitoring and prediction of thrombotic individual profile in flowing bloodComputational image analysis of cellular dynamics: a case study based on particle tracking.Shape and function from motion in biomedical imaging: part 3.Segmentation and tracking of stem cells in time lapse microscopy to quantify dynamic behavioral changes during spheroid formation.An automatic method for identifying appropriate gradient magnitude for 3D boundary detection of confocal image stacks.
P2860
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P2860
description
2003 nî lūn-bûn
@nan
2003 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2003 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
name
Computational imaging in cell biology.
@ast
Computational imaging in cell biology.
@en
type
label
Computational imaging in cell biology.
@ast
Computational imaging in cell biology.
@en
prefLabel
Computational imaging in cell biology.
@ast
Computational imaging in cell biology.
@en
P2860
P356
P1476
Computational imaging in cell biology.
@en
P2093
Chaitanya Athale
P2860
P304
P356
10.1083/JCB.200302097
P407
P50
P577
2003-05-01T00:00:00Z
2003-05-12T00:00:00Z