Pre-trained models for Developmental Neuroscience

Deep neural networks are not yet being used (at scale) on microscopic images for research. With the right model architecture and training approaches, it is possible to train robust models which would help in the research efforts of many. These models can be used for:

• Segmentation and analysis of the C. elegans embryo
• Generating more image data with Generative Adversarial Networks
• Gain inferences from numerical metadata
• Large scale classification of images