We stitch and align large-scale image volumes within and across sections, using linear and nonlinear methods. Our main focus is EM volume alignment, but we also align data to reference atlases and light microscopy images.

We extract semantically meaningful structures, such as synapses, mitochondria, vesicles, and cell bodies, from large image datasets. For large-scale cell segmentation and CAVE hosting, we work with partner companies.

Collaborative, CAVE-powered workspaces where proofreading teams can correct cell segmentations, review synapses, identify cell types, and manage tasks.

Neuron proofreading, synapse review, and structured cell annotation, built on the NeuroMaps platform and tailored to your project. We work with partner companies to provide experienced human proofreaders.

Custom interactive workspaces linked directly from your publication and its figures. Readers can explore the published circuits themselves, with additional detail and explanation where you want to highlight specific aspects. See the Gallery for examples.

Custom static workspaces for sharing published datasets. We provide long-term hosting of image data and derived data (segmentations, connectivity graphs, and cell annotations), keeping them accessible well beyond publication. See Datasets for examples.

We build custom user interfaces, extend existing widgets, and develop new ones for visualization and analysis. We can also wrap your existing analysis code in an easy-to-use interface.

Analysis tailored to your data, including machine learning models for segmentation, cell typing, computational geometry, and network analysis.