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Yu Lab at Virginia Tech's Projects

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An event-based tool for analyzing and quantifying calcium or neurotransmitter imaging data

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Activity Quantification and Analysis for molecular spatiotemporal signals

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BIdirectional pushing with Linear Component Operations, an efficient algorithm for solving joint alignment problem

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Circulation Network based Data-association for Multi-object Tracking

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A Conditional Multifactorial Contingency (CMC) model to jointly learn the multifactorial effect in large-scale data.

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A Convex Optimization Approach to Variance-stabilizing Transformation

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Functional AStrocyte Phenotyping (FASP) is a Fiji plugin that automatically analyzes and characterizes the spatiotemporal functional status of astrocytes from time-lapse Ca2+ imaging data. FASP has been updated to analyze more complex data, especially in-vivo data. The new version is available upon request to Prof. Yu ([email protected]).

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Graphical Time Warping

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An exact and efficient min-cost flow algorithm for data-association in multi-object tracking

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A Completely Annotated Benchmark for Dense 3D Nuclei Image Segmentation

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an unsupervised automatic 3D cell detector and manual annotation assistant

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StarDist - Object Detection with Star-convex Shapes

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A Fiji plugin that automatically quantify synapses from multi-channel fluorescence microscopy images.

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