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I am creating this issue to discuss our goals and scope for CellCanvas.
From my perspective, CellCanvas is a software library for building geometric models of intracellular architecture. These models can be used for quantifying and comparing morphology as well as for input into simulations.
The core library contains:
geometric models for all key intracellular components. This includes meshes (e.g., for membranes), networks of splines (e.g., for filaments), and particles (both position and orientation).
data models for defining collections of the geometric models
algorithms for extracting the models from imaging data (e.g., segmentation, pixel embeddings)
a graphical user interface for extracting and building the models from images
Non-goals:
provide state-of-the-art performance for all computer vision tasks. I think we should provide solid implementations of some core tasks, but also make it easy for users to import results from other algorithms
perform simulations. I think we should be able to export the geometries to simulation software easily, but I don't think we need to have any sort of simulation engine in the core.
The text was updated successfully, but these errors were encountered:
I am creating this issue to discuss our goals and scope for CellCanvas.
From my perspective, CellCanvas is a software library for building geometric models of intracellular architecture. These models can be used for quantifying and comparing morphology as well as for input into simulations.
The core library contains:
Non-goals:
The text was updated successfully, but these errors were encountered: