Google AI introduces “SegCLR”, a self-supervised machine learning technique that produces highly informative representations of cells directly from 3D electron microscope images and segmentations
If we can analyze the organization of neural circuits, this will play a crucial role in better understanding the thought process. This is where maps come in. Maps of the nervous system contain information about the identity of individual cells, such as their type, subcellular component, and neuron connectivity. But how do you get these …
