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Welcome to the sequitr wiki!

Sequitr is a small, lightweight Python library for common image processing tasks in optical microscopy, in particular, single-molecule imaging, super-resolution or time-lapse imaging of cells.

Sequitr implements fully convolutional neural networks for image segmentation and classification. The library is designed to integrate with BayesianTracker.

Sections

1. Installation
2. Using the server
3. Training a model
4. [Processing images/movies]
5. [Image synthesis]
6. Lineage analysis