The advent of genetic methods of fluorescent labeling has improved the confidence with which sparse reconstruction can identify synaptically coupled pairs of neurons (Smith, 2007, Luo et al., 2008). And the automation of sectioning, electron microscopy, and image analysis is making the finding of...
Mosaicism with Repeat Frameshift (MORF) allows a single Bacterial Artificial Chromosome (BAC) transgene to direct sparse labeling of genetically-defined neuronal populations in mice. The BAC transgene drives cell-type-specific transcription of an out-of-frame mononucleotide repeat that is placed between...
Overall, scBalance is well-designed to handle different types of noises and imbalanced datasets while achieving high classification accuracy for rare and major cell types. scBalance accurately identifies rare cell population in the intra-dataset labeling task We first demonstrated the rare cell-type ...
Digital reconstruction of a single neuron occupies an important position in computational neuroscience. Although many novel methods have been proposed, recent advances in molecular labeling and imaging systems allow for the production of large and complicated neuronal datasets, which pose many challenges ...
Cavigelli L, Magno M, Benini L (2015b) Accelerating real-time embedded scene labeling with convolutional networks. In: Proceedings of the 52nd annual design automation conference Google Scholar Chen Y, Luo T, Liu S, Zhang S, He L, Wang J, Li L, Chen T, Xu Z, Sun N, et al (201...
Multicolor sparse viral labeling and 3D digital tracing of enteric plexus in mouse proximal colon using a novel adeno‐associated virus capsid3D imagingadeno‐associated viruscolonic enteric neurondigital tracingmouseBackground:Intravenous administration of adeno-associated virus (AAV) can be used as a ...
S. et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 31, 968–980 (2006). Article Google Scholar Download references Acknowledgements The authors would like to thank Patrice Godard (UCB) for compiling the...
Compared with supervised MAD methods that require a large amount of labelled data for model training, the proposed method works in a self-supervised manner, which avoids the need for expensive data labeling and removes the barrier towards practical use. Only a large amount of unlabeled noisy data...
processes Article Remaining Useful Life Prediction of Gear Pump Based on Deep Sparse Autoencoders and Multilayer Bidirectional Long–Short–Term Memory Network Peiyao Zhang 1,2, Wanlu Jiang 1,2,*, Xiaodong Shi 1,2 and Shuqing Zhang 3 1 Hebei Provincial Key Laboratory of Heavy Machinery Fluid ...