Explore projects
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Sainsbury Laboratory / teamHJ / Costanza
MIT LicenseSegmentation tool allowing finding nuclei in 3D and cells via membranes in 2D.
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Workshop materials for image analysis with a focus on plant datasets
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A general library for using Organism with python
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Sainsbury Laboratory / teamHJ / alumni / vincent / microtubule_simulations
GNU General Public License v3.0 onlyCode for simulations of individual Microtubules in 3D and constrained by a meshed description of a cell membrane.
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Source for differential pressure and force sensors control and acquisition.
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A python class for the automated extraction of SAM features in three dimensions from a stack of confocal microscope images.
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A python tool for the automated quantification of primordia and meristem from a stack of confocal microscope images.
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A project which contains guidance about using the University Photo API as well as code samples showing how to call the API from code.
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Michael C. Burkhart / Filtered-Stochastic-Newton
MIT LicenseWe apply sequential Bayesian inference with a discriminatively specified observation model to the subsampled gradients and Hessians used by the stochastic Newton method for online optimization.
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This repository contains the code necessary to run the pipeline described in "CReDo Technical Report 1: Building a cross-sector digital twin".
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This repository contains the code written to model asset failure following expert elicitation sessions as part of the CReDo project, and prepared for use on the DAFNI platform.
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