{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T02:47:49Z","timestamp":1772506069348,"version":"3.50.1"},"reference-count":7,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2016,10,2]],"date-time":"2016-10-02T00:00:00Z","timestamp":1475366400000},"content-version":"vor","delay-in-days":2799,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/2.0\/uk\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009,3,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Volume-object annotation system (VANO) is a cross-platform image annotation system that enables one to conveniently visualize and annotate 3D volume objects including nuclei and cells. An application of VANO typically starts with an initial collection of objects produced by a segmentation computation. The objects can then be labeled, categorized, deleted, added, split, merged and redefined. VANO has been used to build high-resolution digital atlases of the nuclei of Caenorhabditis elegans at the L1 stage and the nuclei of Drosophila melanogaster's ventral nerve cord at the late embryonic stage.<\/jats:p>\n               <jats:p>Availability: Platform independent executables of VANO, a sample dataset, and a detailed description of both its design and usage are available at research.janelia.org\/peng\/proj\/vano. VANO is open-source for co-development.<\/jats:p>\n               <jats:p>Contact: \u00a0pengh@janelia.hhmi.org<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btp046","type":"journal-article","created":{"date-parts":[[2009,2,4]],"date-time":"2009-02-04T02:21:04Z","timestamp":1233714064000},"page":"695-697","source":"Crossref","is-referenced-by-count":28,"title":["VANO: a volume-object image annotation system"],"prefix":"10.1093","volume":"25","author":[{"given":"Hanchuan","family":"Peng","sequence":"first","affiliation":[{"name":"Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, VA, USA"}]},{"given":"Fuhui","family":"Long","sequence":"additional","affiliation":[{"name":"Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, VA, USA"}]},{"given":"Eugene W.","family":"Myers","sequence":"additional","affiliation":[{"name":"Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, VA, USA"}]}],"member":"286","published-online":{"date-parts":[[2009,2,2]]},"reference":[{"key":"2023013110105000500_B1","first-page":"536","article-title":"Automatic segmentation of nuclei in 3D microscopy images of C. elegans","author":"Long","year":"2007","journal-title":"In Proceedings of the IEEE ISBI'2007"},{"key":"2023013110105000500_B2","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1007\/978-3-540-78839-3_12","article-title":"Automatic recognition of cells (ARC) for 3D images of C. elegans. 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