We are releasing ELEPHANT, a platform that integrates cell annotation, deep learning and proofreading of cell lineages in 3D+time image datasets.
Incremental learning on ELEPHANT allows the users to train deep learning models efficiently.
ELEPHANT implements a client-server architecture, allowing a flexible communication between Java-based user interface and Python-based backend. Furthermore, once the server is set up, the end-users do not need to have a powerful computer equipped with a high-end GPU.
The user manual is available here, where you can find the download links for the client and server applications.
The detailed descriptions of the method can be found on bioRxiv.
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Research supported by ERC.