Saturated Reconstruction of a Volume of Neocortex.

By N. Kasthuri, K. Hayworth, D. Berger, R. Schalek, J. Conchello, Seymour Knowles-Barley, Dongil Lee, A. Vázquez-Reina, V. Kaynig, Thouis Raymond Jones and 11 more. Cell, 2015

1,027 citations recorded by the source corpus.

Subfields: Biophysics, Cell Biology, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/37288fe76a864233214b6a5e4cee29923e9c36b9

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Citations in the corpus

High-precision automated reconstruction of neurons with flood-filling networks (2017, methodology): “Similarly used as a public segmentation benchmark, SNEMI3d is a dataset of mouse somatosensory cortex imaged with serial-section automated tape-collecting ultramicrotome scanning EM at 6 × 6 × 29 nm 34 .”
Reconstruction and Simulation of Neocortical Microcircuitry. (2015, background): “Although labeling with retrograde and anterograde tracers and trans-synaptic viral vectors, imaging with array tomography, and saturated reconstruction with electron microscopy have made it possible to begin mapping preand postsynaptic neurons for individual neocortical neurons (Boyd and Matsubara, ”
Repurposing Citizen Science Games as Software Tools for Professional Scientists (2018, methodology): “In comparison to more standard tools, Eyewire and the scientific software Omni (shown in Figure 2) both begin with VAST (Volume Annotation and Segmentation Tool) [22], which is used to generate ground truth for machine learning algorithms.”
Advancing the understanding of autism disease mechanisms through genetics (2016, positive): “Recent advances in connectomics 213,214 and optogenetics 215,216 may help in delineating the functional neural correlates for core ASD-associated behaviors, thus providing therapeutic opportunities. tory transmission by D1-dopamine receptor–expressing medium spiny neuron (D1-MSNs) in the nucleus…”
Simple, scalable proteomic imaging for high-dimensional profiling of intact systems (2015, neutral): “Biological systems are comprised of vast numbers of molecules, cell types, and intricate tissue organizations (Alivisatos et al., 2013; Kasthuri et al., 2015; Yuste, 2015).”
Superhuman Accuracy on the SNEMI3D Connectomics Challenge (2017, methodology): “We subsequently performed extensive quantitative comparison on AC3, a labeled image stack of size 1024 × 1024 × 256 that was made publicly available along with the publication of Kasthuri et al. [27].”
A Complete Electron Microscopy Volume of the Brain of Adult Drosophila melanogaster (2017, methodology): “Where available, neuronal ‘‘wiring diagrams’’ or ‘‘connectomes’’ (Lichtman and Sanes, 2008)—maps of the synaptic connectivity between the neurons in a circuit—have proved extremely useful for understanding circuit function (Ding et al., 2016; Jarrell et al., 2012; Kasthuri et al., 2015; Ohyama et al”
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation (2022, background): “[46] 3D Microscopy Kasthuri15 [85], CREMI 1 pr Gaussian blurring, Gaussian noise, slice misalignment, contrast variations”