{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":["Pavarino EC"],"funding":["NIMH NIH HHS","NINDS NIH HHS"],"pubmed_abstract":["Connectomics is fundamental in propelling our understanding of the nervous system’s organization, unearthing cells and wiring diagrams reconstructed from volume electron microscopy (EM) datasets. Such reconstructions, on the one hand, have benefited from ever more precise automatic segmentation methods, which leverage sophisticated deep learning architectures and advanced machine learning algorithms. On the other hand, the field of neuroscience at large, and of image processing in particular, has manifested a need for user-friendly and open source tools which enable the community to carry out advanced analyses. In line with this second vein, here we propose mEMbrain, an interactive MATLAB-based software which wraps algorithms and functions that enable labeling and segmentation of electro"],"journal":["bioRxiv : the preprint server for biology"],"pagination":["2023.04.17.537196"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10153173"],"repository":["biostudies-literature"],"pubmed_title":["mEMbrain: an interactive deep learning MATLAB tool for connectomic segmentation on commodity desktops."],"pmcid":["PMC10153173"],"funding_grant_id":["U19 NS104653","U01 NS108637","P50 MH094271"],"pubmed_authors":["Renuka MB","Lu X","Drescher B","Dhanyasi N","Park CF","Yang F","Yang E","Wang M","Meirovitch Y","Hochner B","Bidel F","Katz PS","Pavarino EC","Lichtman JW","Zhen M","Samuel ADT"],"additional_accession":[]},"is_claimable":false,"name":"mEMbrain: an interactive deep learning MATLAB tool for connectomic segmentation on commodity desktops.","description":"Connectomics is fundamental in propelling our understanding of the nervous system’s organization, unearthing cells and wiring diagrams reconstructed from volume electron microscopy (EM) datasets. Such reconstructions, on the one hand, have benefited from ever more precise automatic segmentation methods, which leverage sophisticated deep learning architectures and advanced machine learning algorithms. On the other hand, the field of neuroscience at large, and of image processing in particular, has manifested a need for user-friendly and open source tools which enable the community to carry out advanced analyses. In line with this second vein, here we propose mEMbrain, an interactive MATLAB-based software which wraps algorithms and functions that enable labeling and segmentation of electro","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Apr","modification":"2025-06-25T03:04:08.347Z","creation":"2025-04-04T21:55:12.886Z"},"accession":"S-EPMC10153173","cross_references":{"pubmed":["37131600"],"doi":["10.1101/2023.04.17.537196"]}}