If adjusting the pipeline to fit your own data, worm detection will likely improve by creating a new worm model based Untangling requires a worm model, which is provided together with the pipeline. Untangle worms: In this pipeline, we identify individual worms and extract shape and intensity measurements.elegans sample images and information, as well as assay "ground truth" of various kinds. Toolbox page has further details on this workflow, as well as video tutorials, pipelines and image data in addition to those described below. elegans and extract measurements on a per-worm basis. WormToolbox These pipelines have been developed for high-throughput screens onĬ. To measure the degree of overlap between two fluorescent channels. This example shows how the object identifcation and RelateObjects modules are used Measure the degree of spatial coincidence and potential interactions among subcellular species (e.g., proteins). Colocalization: Measuring the colocalization between fluorescently labeled molecules is a widely used approach to.This example shows how the CorrectIlluminationCalculate and CorrectIlluminationApply modules are used to compensate for the non-uniformities in illumination often ![]()
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