webKnossos: efficient online 3D data annotation for connectomics

Automated synaptic connectivity inference for volume electron microscopy

(2017) Sven Dorkenwald et al.   NATURE METHODS

Dense EM-based reconstruction of the interglomerular projectome in the zebrafish olfactory bulb

(2016) Adrian A Wanner et al.   NATURE NEUROSCIENCE

Quantitative neuroanatomy for connectomics in Drosophila

(2016) Casey M Schneider-Mizell et al.   eLife

3-dimensional electron microscopic imaging of the zebrafish olfactory bulb and dense reconstruction of neurons

(2016) Adrian A. Wanner et al.   Scientific Data

Saturated Reconstruction of a Volume of Neocortex

(2015) Narayanan Kasthuri et al.   CELL

Beyond Columnar Organization: Cell Type- and Target Layer-Specific Principles of Horizontal Axon Projection Patterns in Rat Vibrissal Cortex

(2015) Rajeevan T. Narayanan et al.   CEREBRAL CORTEX

High-resolution, high-throughput imaging with a multibeam scanning electron microscope

(2015) A.L. EBERLE et al.   JOURNAL OF MICROSCOPY

SegEM: Efficient Image Analysis for High-Resolution Connectomics

(2015) Manuel Berning et al.   NEURON

Large-volume en-bloc staining for electron microscopy-based connectomics

(2015) Yunfeng Hua et al.   Nature Communications

Automated Detection of Synapses in Serial Section Transmission Electron Microscopy Image Stacks

(2014) Anna Kreshuk et al.   PLoS One

Learning Context Cues for Synapse Segmentation

(2013) Carlos Becker et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Connectomic reconstruction of the inner plexiform layer in the mouse retina

(2013) Moritz Helmstaedter et al.   NATURE

Cellular-resolution connectomics: challenges of dense neural circuit reconstruction

(2013) Moritz Helmstaedter   NATURE METHODS

Wiring specificity in the direction-selectivity circuit of the retina

(2011) Kevin L. Briggman et al.   NATURE

High-accuracy neurite reconstruction for high-throughput neuroanatomy

(2011) Moritz Helmstaedter et al.   NATURE NEUROSCIENCE

CATMAID: collaborative annotation toolkit for massive amounts of image data

(2009) S. Saalfeld et al.   BIOINFORMATICS