Main Menu (Mobile)- Block

Main Menu - Block

Reconstruction: Methods and Algorithms

janelia7_blocks-janelia7_fake_breadcrumb | block
Reconstruction: Methods and Algorithms
node:field_slogan | entity_field
FlyEM Reconstruction creates algorithms, techniques, and software for EM-based connectome reconstruction and makes them accessible for public consumption.
node_title | node_title
Reconstruction: Methods and Algorithms
node:field_slogan | entity_field
FlyEM Reconstruction creates algorithms, techniques, and software for EM-based connectome reconstruction and makes them accessible for public consumption.
node_body | node_body

​The FlyEM team strives to unravel the neural connectivity of the fly brain using Electron Microscopic (EM) imaging.  Reconstructing a connectome is a time-consuming process, often requiring laborious manual tracing (proofreading) on massive image volumes.  The FlyEM reconstruction process handles large-scale volumes through a technique called focused proofreading, leveraging synaptic connectivity as a prior for semi-automated tracing while embracing crowd-sourcing.  Further processing and analysis uses cutting-edge connectome analysis algorithms and software that we publish in public software repositories under open-source licenses.  FlyEM embraces collaboration and provides avenues for data and algorithm sharing and co-development.

janelia7_blocks-janelia7_block_right_hand_rail | block

Publicly Available Software Packages

DVID: Distributed, Versioned, Image-Oriented Datastore

NeuroProof: Segmentation engine and focused proofreading algorithms

NeuTu: cross-platform software tool for neuron reconstruction and visualization

neuPrint: ecosystem for connectome data analysis and reconstruction quality contorl

neuroglancer hub: web-based ecosystem for using neuroglancer for EM reconstruction and analysis workflows