Flexible Learning-Free Segmentation and Reconstruction of Neural Volumes
Shahbazi A, Kinnison J, Vescovi R, Du M, Hill R, Joesch M, Takeno M, Zeng H, da Costa NM, Grutzendler J, Kasthuri N, Scheirer WJ. Flexible Learning-Free Segmentation and Reconstruction of Neural Volumes. Scientific Reports 2018, 8: 14247. PMID: 30250218, PMCID: PMC6155135, DOI: 10.1038/s41598-018-32628-3.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsAnimalsImage Processing, Computer-AssistedImaging, Three-DimensionalMachine LearningMiceSynchrotronsX-Ray MicrotomographyConceptsGigabytes of dataSupervised learning methodsHigh-energy synchrotron X-ray microtomographyHigh-quality reconstructionComputer visionHigh biological fidelityVirtual eyeSpectral confocal reflectance microscopyStack of imagesLearning methodsPipeline reconstructionContextual cluesDifferent modalitiesNeural volumeMouse datasetsBiological fidelityImagesData collectionPipelineGigabytesSegmentationMachineAlgorithmDatasetSufficient quality