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Semi-automatische Rekonstruktion von Neuronen

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Abstract

The vast amount of data that is generated by today’s imaging technologies renders manual annotation and analysis infeasible. Novel workflows combining human and artificial intelligence are able to process terabyte-sized datasets. A new online neuron reconstruction service for light microscopy data achieves excellent accuracy meeting high scientific standards and reduces the required efforts to trace neurons.

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Literatur

  1. Šišková Z, Justus D, Kaneko H et al. (2014) Dendritic structural degeneration is functionally linked to cellular hyperexcitability in a mouse model of Alzheimer’s disease. Neuron 84:1023–1033

    Article  PubMed  CAS  Google Scholar 

  2. Miguel-Hidalgo JJ, Rajkowska G (2002) Morphological brain changes in depression: can antidepressants reverse them? CNS Drugs 16:361–372

    Article  PubMed  CAS  Google Scholar 

  3. Çiçek Ö, Abdulkadir A, Lienkamp SS et al. (2016) 3D U-Net: learning dense volumetric segmentation from sparse annotation. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, S 424–432

    Google Scholar 

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Correspondence to Adrian Wanner.

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Nguyen, MT., Tran, J., Müller, M.E. et al. Semi-automatische Rekonstruktion von Neuronen. Biospektrum 25, 414–415 (2019). https://doi.org/10.1007/s12268-019-1072-4

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  • DOI: https://doi.org/10.1007/s12268-019-1072-4

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