63
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The natverse, a versatile toolbox for combining and analysing neuroanatomical data

      research-article

      Read this article at

      ScienceOpenPublisherPMC
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          To analyse neuron data at scale, neuroscientists expend substantial effort reading documentation, installing dependencies and moving between analysis and visualisation environments. To facilitate this, we have developed a suite of interoperable open-source R packages called the natverse. The natverse allows users to read local and remote data, perform popular analyses including visualisation and clustering and graph-theoretic analysis of neuronal branching. Unlike most tools, the natverse enables comparison across many neurons of morphology and connectivity after imaging or co-registration within a common template space. The natverse also enables transformations between different template spaces and imaging modalities. We demonstrate tools that integrate the vast majority of Drosophila neuroanatomical light microscopy and electron microscopy connectomic datasets. The natverse is an easy-to-use environment for neuroscientists to solve complex, large-scale analysis challenges as well as an open platform to create new code and packages to share with the community.

          Related collections

          Most cited references156

          • Record: found
          • Abstract: found
          • Article: not found

          Fiji: an open-source platform for biological-image analysis.

          Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
            • Record: found
            • Abstract: not found
            • Book: not found

            ggplot2

              • Record: found
              • Abstract: found
              • Article: not found

              A mesoscale connectome of the mouse brain.

              Comprehensive knowledge of the brain's wiring diagram is fundamental for understanding how the nervous system processes information at both local and global scales. However, with the singular exception of the C. elegans microscale connectome, there are no complete connectivity data sets in other species. Here we report a brain-wide, cellular-level, mesoscale connectome for the mouse. The Allen Mouse Brain Connectivity Atlas uses enhanced green fluorescent protein (EGFP)-expressing adeno-associated viral vectors to trace axonal projections from defined regions and cell types, and high-throughput serial two-photon tomography to image the EGFP-labelled axons throughout the brain. This systematic and standardized approach allows spatial registration of individual experiments into a common three dimensional (3D) reference space, resulting in a whole-brain connectivity matrix. A computational model yields insights into connectional strength distribution, symmetry and other network properties. Virtual tractography illustrates 3D topography among interconnected regions. Cortico-thalamic pathway analysis demonstrates segregation and integration of parallel pathways. The Allen Mouse Brain Connectivity Atlas is a freely available, foundational resource for structural and functional investigations into the neural circuits that support behavioural and cognitive processes in health and disease.

                Author and article information

                Contributors
                Role: Reviewing Editor
                Role: Senior Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                14 April 2020
                2020
                : 9
                : e53350
                Affiliations
                [1 ]Neurobiology Division, MRC Laboratory of Molecular Biology CambridgeUnited Kingdom
                [2 ]Drosophila Connectomics Group, Department of Zoology, University of Cambridge CambridgeUnited Kingdom
                [3 ]SRI International, Neuroscience Program, Center for Health Sciences Menlo ParkUnited States
                National Centre for Biological Sciences, Tata Institute of Fundamental Research India
                National Centre for Biological Sciences, Tata Institute of Fundamental Research India
                National Centre for Biological Sciences, Tata Institute of Fundamental Research India
                Author notes
                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-1195-0445
                https://orcid.org/0000-0001-9260-3156
                https://orcid.org/0000-0002-2078-1145
                http://orcid.org/0000-0001-5948-3092
                http://orcid.org/0000-0002-5633-1314
                https://orcid.org/0000-0002-0587-9355
                Article
                53350
                10.7554/eLife.53350
                7242028
                32286229
                e5c85ccf-30d9-4433-bcca-50f234487351
                © 2020, Bates et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 05 November 2019
                : 11 April 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000265, Medical Research Council;
                Award ID: MC-U105188491
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100010663, H2020 European Research Council;
                Award ID: 649111
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100004440, Wellcome;
                Award ID: 203261/Z/16/Z
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001645, Boehringer Ingelheim Fonds;
                Award Recipient :
                Funded by: Herchel Smith Fund;
                Award Recipient :
                Funded by: Fitzwilliam College, Univeristy of Cambridge;
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Tools and Resources
                Computational and Systems Biology
                Neuroscience
                Custom metadata
                Open source software enables neuroscientists to integrate single neuron or synaptic-resolution datasets from different imaging modalities to analyse morphology and connectivity at the scale of whole brains and connectomes.

                Life sciences
                neuroanatomy,neural circuits,connectomics,analysis software,open-source,neuronal morphology,d. melanogaster,mouse,zebrafish

                Comments

                Comment on this article

                Related Documents Log