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      Precise registration of axonal morphologies obtained from sections to a common reference space

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            Abstract

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            Author and article information

            Journal
            Title: ScienceOpen Posters
            Publisher: ScienceOpen
            Publication date (Electronic preprint): 21 July 2023
            Affiliations
            [1 ] Radboud University Nijmegen, Donders Institute for Brain, Cognition and Behaviour, Department of Neuroinformatics, Nijmegen, The Netherlands;
            [2 ] Department of Clinical Neurophysiology, Institute for Technical Medicine, University of Twente, Technical Medical Centre, Enschede, The Netherlands;
            [3 ] Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA-Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany;
            [4 ] Department of Anatomy and Neuroscience, School of Medicine, Autónoma de Madrid University, Madrid, Spain;
            Author notes
            Author information
            https://orcid.org/0000-0001-8339-0355
            https://orcid.org/0000-0002-2942-2691
            https://orcid.org/0000-0001-6778-5680
            https://orcid.org/0000-0002-1405-9885
            https://orcid.org/0000-0003-0718-1337
            https://orcid.org/0000-0003-4509-6870
            Article
            DOI: 10.14293/P2199-8442.1.SOP-.PJ4UFX.v1
            SO-VID: 6f778149-0239-4ce0-adaa-dda4a33dd5c8
            License:

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

            History
            Date received : 21 July 2023
            Funding
            Funded by: funder-id http://dx.doi.org/10.13039/501100003246, Nederlandse Organisatie voor Wetenschappelijk Onderzoek;
            Award ID: 80-91-318
            Funded by: funder-id http://dx.doi.org/10.13039/100010661, Horizon 2020 Framework Programme;
            Award ID: HBP SGA3 945539
            Funded by: funder-id http://dx.doi.org/10.13039/501100004837, Ministerio de Ciencia e Innovación;
            Award ID: PCI2019-111900-2
            Categories

            Data availability: The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
            ScienceOpen disciplines: Neurosciences
            Keywords: Neuron morphology,Neurolucida,Scalable Brain Atlas,neuron registration,Allen mouse reference atlas,CCF3,single neuron tracing,long range projection neuron

            References

            1. Bakker Rembrandt, Tiesinga Paul, Kötter Rolf. The Scalable Brain Atlas: Instant Web-Based Access to Public Brain Atlases and Related Content. Neuroinformatics. Vol. 13(3):353–366. 2015. Springer Science and Business Media LLC. [Cross Ref]

            2. Klein S., Staring M., Murphy K., Viergever M.A., Pluim J.. elastix: A Toolbox for Intensity-Based Medical Image Registration. IEEE Transactions on Medical Imaging. Vol. 29(1):196–205. 2010. Institute of Electrical and Electronics Engineers (IEEE). [Cross Ref]

            3. Puchades Maja A., Csucs Gergely, Ledergerber Debora, Leergaard Trygve B., Bjaalie Jan G.. Spatial registration of serial microscopic brain images to three-dimensional reference atlases with the QuickNII tool. PLOS ONE. Vol. 14(5)2019. Public Library of Science (PLoS). [Cross Ref]

            4. Shamonin Denis. Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease. Frontiers in Neuroinformatics. Vol. 7:2013. Frontiers Media SA. [Cross Ref]

            5. Tang Meng, Gorelick Lena, Veksler Olga, Boykov Yuri. GrabCut in One Cut. 2013 IEEE International Conference on Computer Vision. 2013. IEEE. [Cross Ref]

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