{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,20]],"date-time":"2026-09-20T20:59:46Z","timestamp":1789937986311,"version":"4.0.1"},"reference-count":69,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2015,5,1]],"date-time":"2015-05-01T00:00:00Z","timestamp":1430438400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2015,5,1]],"date-time":"2015-05-01T00:00:00Z","timestamp":1430438400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"funder":[{"DOI":"10.13039\/100000185","name":"Defense Advanced Research Projects Agency","doi-asserted-by":"publisher","award":["N66001-11-1-4015"],"award-info":[{"award-number":["N66001-11-1-4015"]}],"id":[{"id":"10.13039\/100000185","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Neuroscience Methods"],"published-print":{"date-parts":[[2015,5]]},"DOI":"10.1016\/j.jneumeth.2015.02.014","type":"journal-article","created":{"date-parts":[[2015,3,4]],"date-time":"2015-03-04T23:55:24Z","timestamp":1425513324000},"page":"38-51","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":25,"special_numbering":"C","title":["Quantitative 3-D analysis of GFAP labeled astrocytes from fluorescence confocal images"],"prefix":"10.1016","volume":"246","author":[{"given":"Prathamesh M.","family":"Kulkarni","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1192-1142","authenticated-orcid":false,"given":"Emily","family":"Barton","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michalis","family":"Savelonas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Raghav","family":"Padmanabhan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanbin","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kristen","family":"Trett","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"William","family":"Shain","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J. Leigh","family":"Leasure","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Badrinath","family":"Roysam","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"9","key":"10.1016\/j.jneumeth.2015.02.014_bib0005","doi-asserted-by":"crossref","first-page":"1338","DOI":"10.1109\/TIP.2005.852462","article-title":"Automatic selection of parameters for vessel\/neurite segmentation algorithms","volume":"14","author":"Abdul-Karim","year":"2005","journal-title":"IEEE Trans Image Process"},{"issue":"April (4)","key":"10.1016\/j.jneumeth.2015.02.014_bib0010","doi-asserted-by":"crossref","first-page":"841","DOI":"10.1109\/TBME.2009.2035102","article-title":"Improved automatic detection and segmentation of cell nuclei in histopathology images","volume":"57","author":"Al-Kofahi","year":"2010","journal-title":"IEEE Trans Biomed Eng"},{"issue":"July (7)","key":"10.1016\/j.jneumeth.2015.02.014_bib0015","doi-asserted-by":"crossref","first-page":"1394","DOI":"10.1038\/jcbfm.2010.41","article-title":"Reorganization of gap junctions after focused ultrasound blood-brain barrier opening in the rat brain","volume":"30","author":"Alonso","year":"2010","journal-title":"J Cereb Blood Flow Metab"},{"issue":"April","key":"10.1016\/j.jneumeth.2015.02.014_bib0020","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.neulet.2013.12.030","article-title":"Heterogeneity of reactive astrocytes","volume":"565","author":"Anderson","year":"2014","journal-title":"Neurosci Lett"},{"issue":"September (2\u20133)","key":"10.1016\/j.jneumeth.2015.02.014_bib0025","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1007\/s12021-011-9105-2","article-title":"Principal curves as skeletons of tubular objects: locally characterizing the structures of axons","volume":"9","author":"Bas","year":"2011","journal-title":"Neuroinformatics"},{"issue":"January (1)","key":"10.1016\/j.jneumeth.2015.02.014_bib0030","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1002\/jnr.21828","article-title":"Quantification of astrocyte volume changes during ischemia in situ reveals two populations of astrocytes in the cortex of GFAP\/EGFP mice","volume":"87","author":"Benesova","year":"2009","journal-title":"J Neurosci Res"},{"issue":"May (1)","key":"10.1016\/j.jneumeth.2015.02.014_bib0035","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.jneumeth.2007.12.024","article-title":"Associative image analysis: a method for automated quantification of 3D multi-parameter images of brain tissue","volume":"170","author":"Bjornsson","year":"2008","journal-title":"J Neurosci Methods"},{"issue":"September (3)","key":"10.1016\/j.jneumeth.2015.02.014_bib0040","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1088\/1741-2560\/3\/3\/002","article-title":"Effects of insertion conditions on tissue strain and vascular damage during neuroprosthetic device insertion","volume":"3","author":"Bjornsson","year":"2006","journal-title":"J Neural Eng"},{"issue":"January","key":"10.1016\/j.jneumeth.2015.02.014_bib0045","first-page":"328","article-title":"Hierarchical discriminative framework for detecting tubular structures in 3D images","volume":"23","author":"Breitenreicher","year":"2013","journal-title":"Inf Process Med Imaging"},{"issue":"October (1)","key":"10.1016\/j.jneumeth.2015.02.014_bib0050","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neuroimage.2012.06.042","article-title":"Examining brain microstructure using structure tensor analysis of histological sections","volume":"63","author":"Budde","year":"2012","journal-title":"Neuroimage"},{"issue":"July (2)","key":"10.1016\/j.jneumeth.2015.02.014_bib0055","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1002\/cne.10728","article-title":"Examination of the relationship between astrocyte morphology and laminar boundaries in the molecular layer of adult dentate gyrus","volume":"462","author":"Bushong","year":"2003","journal-title":"J Comp Neurol"},{"issue":"January (1)","key":"10.1016\/j.jneumeth.2015.02.014_bib0060","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1523\/JNEUROSCI.22-01-00183.2002","article-title":"Protoplasmic astrocytes in CA1 stratum radiatum occupy separate anatomical domains","volume":"22","author":"Bushong","year":"2002","journal-title":"J Neurosci"},{"issue":"8","key":"10.1016\/j.jneumeth.2015.02.014_bib0350","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1007\/BF01184071","article-title":"Three-dimensional morphology of astrocytes and oligodendrocytes in the intact mouse optic nerve","volume":"23","author":"Butt","year":"1994","journal-title":"J Neurocytol"},{"issue":"October (1\u20132)","key":"10.1016\/j.jneumeth.2015.02.014_bib0065","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/S0165-0270(98)00091-0","article-title":"An on-line archive of reconstructed hippocampal neurons","volume":"84","author":"Cannon","year":"1998","journal-title":"J Neurosci Methods"},{"issue":"January (2)","key":"10.1016\/j.jneumeth.2015.02.014_bib0075","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1109\/83.902291","article-title":"Active contours without edges","volume":"10","author":"Chan","year":"2001","journal-title":"IEEE Trans Image Process"},{"issue":"November (11)","key":"10.1016\/j.jneumeth.2015.02.014_bib0080","doi-asserted-by":"crossref","first-page":"1660","DOI":"10.1002\/glia.22384","article-title":"Astrocytic CX43 hemichannels and gap junctions play a crucial role in development of chronic neuropathic pain following spinal cord injury","volume":"60","author":"Chen","year":"2012","journal-title":"Glia"},{"key":"10.1016\/j.jneumeth.2015.02.014_bib0085","first-page":"130","article-title":"Multiscale vessel enhancement filtering","volume":"1496","author":"Frangi","year":"1998","journal-title":"Med Image Comput Comput Assist Interv"},{"issue":"May","key":"10.1016\/j.jneumeth.2015.02.014_bib0090","first-page":"37","article-title":"Active learning of neuron morphology for accurate automated tracing of neurites","volume":"8","author":"Gala","year":"2014","journal-title":"Front Neuroanat"},{"issue":"May","key":"10.1016\/j.jneumeth.2015.02.014_bib0095","first-page":"54","article-title":"Studying subcellular detail in fixed astrocytes: dissociation of morphologically intact glial cells (DIMIGs)","volume":"7","author":"Haseleu","year":"2013","journal-title":"Front Cell Neurosci"},{"issue":"May (2)","key":"10.1016\/j.jneumeth.2015.02.014_bib0100","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1016\/j.jneumeth.2008.01.013","article-title":"Automated detection of intercellular signaling in astrocyte networks using the converging squares algorithm","volume":"170","author":"Hashemi","year":"2008","journal-title":"J Neurosci Methods"},{"issue":"June (8)","key":"10.1016\/j.jneumeth.2015.02.014_bib0105","doi-asserted-by":"crossref","first-page":"904","DOI":"10.1016\/j.patrec.2006.12.011","article-title":"On steerability of Gabor-type filters for feature detection","volume":"28","author":"Kalliom\u00e4ki","year":"2007","journal-title":"Pattern Recognit Lett"},{"issue":"February (3)","key":"10.1016\/j.jneumeth.2015.02.014_bib0110","first-page":"433","article-title":"A star is born: new insights into the mechanism of astrogenesis","volume":"71","author":"Kanski","year":"2013","journal-title":"Cell Mol Life Sci"},{"key":"10.1016\/j.jneumeth.2015.02.014_bib0330","first-page":"368","article-title":"Three dimensional curvilinear structure detection using optimally oriented flux","author":"Law","year":"2008"},{"key":"10.1016\/j.jneumeth.2015.02.014_bib0335","series-title":"The 11th European Conference on Computer Vision, ECCV, (ECCV\u201910), Hersonissos, Heraklion, Crete, Greece, September 5-11","first-page":"720","article-title":"An Oriented Flux Symmetry based Active Contour Model for Three Dimensional Vessel Segmentation","author":"Law","year":"2010"},{"key":"10.1016\/j.jneumeth.2015.02.014_bib0115","first-page":"831426","article-title":"Vessel segmentation using an iterative fast marching approach with directional prior","volume":"8314","author":"Liao","year":"2012"},{"key":"10.1016\/j.jneumeth.2015.02.014_bib0120","series-title":"IEEE Int Symp Biomed Imaging: From Nano to Macro","first-page":"1040","article-title":"Automated 3D quantification of brain tissue at the cellular scale from multi-parameter confocal microscopy images","author":"Lin","year":"2007"},{"issue":"February (1)","key":"10.1016\/j.jneumeth.2015.02.014_bib0125","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1016\/j.conb.2013.11.001","article-title":"Cortical maps: a role for astrocytes?","volume":"24","author":"L\u00f3pez-Hidalgo","year":"2014","journal-title":"Curr Opin Neurobiol"},{"issue":"August","key":"10.1016\/j.jneumeth.2015.02.014_bib0130","article-title":"Quantitative arbor analytics: unsupervised harmonic co-clustering of populations of brain cell arbors based on L-measure","author":"Lu","year":"2014","journal-title":"Neuroinformatics"},{"issue":"September (2\u20133)","key":"10.1016\/j.jneumeth.2015.02.014_bib0135","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1007\/s12021-011-9115-0","article-title":"The FARSIGHT trace editor: an open source tool for 3D inspection and efficient pattern analysis aided editing of automated neuronal reconstructions","volume":"9","author":"Luisi","year":"2011","journal-title":"Neuroinformatics"},{"issue":"May (1\u20132)","key":"10.1016\/j.jneumeth.2015.02.014_bib0140","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.brainresrev.2009.12.001","article-title":"Heterogeneity in astrocyte morphology and physiology","volume":"63","author":"Matyash","year":"2010","journal-title":"Brain Res Rev"},{"issue":"February (2)","key":"10.1016\/j.jneumeth.2015.02.014_bib0145","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1109\/TPAMI.2003.1177156","article-title":"A linear time algorithm for computing exact Euclidean distance transforms of binary images in arbitrary dimensions","volume":"25","author":"Maurer","year":"2003","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"September (9)","key":"10.1016\/j.jneumeth.2015.02.014_bib0150","doi-asserted-by":"crossref","first-page":"e76644","DOI":"10.1371\/journal.pone.0076644","article-title":"Exercise enhances hippocampal recovery following binge ethanol exposure","volume":"8","author":"Maynard","year":"2013","journal-title":"PLOS ONE"},{"issue":"March (7)","key":"10.1016\/j.jneumeth.2015.02.014_bib0155","doi-asserted-by":"crossref","first-page":"693","DOI":"10.1002\/cyto.a.20895","article-title":"Neuron tracing in perspective","volume":"77","author":"Meijering","year":"2010","journal-title":"Cytometry Part A"},{"issue":"May (9)","key":"10.1016\/j.jneumeth.2015.02.014_bib0160","doi-asserted-by":"crossref","first-page":"891","DOI":"10.1101\/gad.188326.112","article-title":"Astrocytes and disease: a neurodevelopmental perspective","volume":"26","author":"Molofsky","year":"2012","journal-title":"Genes Dev"},{"issue":"February (2)","key":"10.1016\/j.jneumeth.2015.02.014_bib0165","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1002\/glia.21247","article-title":"Glial cells in adult neurogenesis","volume":"60","author":"Morrens","year":"2012","journal-title":"Glia"},{"key":"10.1016\/j.jneumeth.2015.02.014_bib0170","series-title":"Methods for automated analysis of curvilinear structures in three-dimensional and spatio-temporal microscopy images using orientation distribution functions","author":"Mukherjee","year":"2011"},{"issue":"February","key":"10.1016\/j.jneumeth.2015.02.014_bib0175","first-page":"1","article-title":"Automated reconstruction of neural trees using front re-initialization","volume":"8314","author":"Mukherjee","year":"2012","journal-title":"SPIE Med Imaging"},{"issue":"March","key":"10.1016\/j.jneumeth.2015.02.014_bib0180","first-page":"4","article-title":"Neuromantic \u2013 from semi-manual to semi-automatic reconstruction of neuron morphology","volume":"6","author":"Myatt","year":"2012","journal-title":"Front Neuroinform"},{"issue":"August (2)","key":"10.1016\/j.jneumeth.2015.02.014_bib0185","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1016\/j.jneumeth.2007.04.016","article-title":"High throughput quantification of cells with complex morphology in mixed cultures","volume":"164","author":"Narayan","year":"2007","journal-title":"J Neurosci Methods"},{"issue":"September (9)","key":"10.1016\/j.jneumeth.2015.02.014_bib0190","doi-asserted-by":"crossref","first-page":"877","DOI":"10.1007\/BF00993263","article-title":"Quantitative aspects of reactive gliosis: a review","volume":"17","author":"Norton","year":"1992","journal-title":"Neurochem Res"},{"issue":"March (13)","key":"10.1016\/j.jneumeth.2015.02.014_bib0195","doi-asserted-by":"crossref","first-page":"3264","DOI":"10.1523\/JNEUROSCI.4980-07.2008","article-title":"Loss of astrocytic domain organization in the epileptic brain","volume":"28","author":"Oberheim","year":"2008","journal-title":"J Neurosci"},{"issue":"March (3)","key":"10.1016\/j.jneumeth.2015.02.014_bib0200","doi-asserted-by":"crossref","first-page":"e90495","DOI":"10.1371\/journal.pone.0090495","article-title":"An active learning approach for rapid characterization of endothelial cells in human tumors","volume":"9","author":"Padmanabhan","year":"2014","journal-title":"PLOS ONE"},{"issue":"August (3)","key":"10.1016\/j.jneumeth.2015.02.014_bib0205","first-page":"381","article-title":"Fractal analysis of astrocytes in stroke and dementia","volume":"50","author":"Pirici","year":"2009","journal-title":"Rom J Morphol Embryol"},{"issue":"October (10)","key":"10.1016\/j.jneumeth.2015.02.014_bib0210","doi-asserted-by":"crossref","first-page":"520","DOI":"10.1016\/j.tins.2003.08.006","article-title":"New roles for astrocytes (stars at last)","volume":"26","author":"Ransom","year":"2003","journal-title":"Trends Neurosci"},{"issue":"October (1)","key":"10.1016\/j.jneumeth.2015.02.014_bib0215","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/j.jneumeth.2009.07.021","article-title":"Three-dimensional neuron tracing by voxel scooping","volume":"184","author":"Rodriguez","year":"2009","journal-title":"J Neurosci Methods"},{"key":"10.1016\/j.jneumeth.2015.02.014_bib0220","series-title":"Microsc Image Anal with Appl Biol Med Image Comput & Comput Assist Interv Workshop","first-page":"1","article-title":"Segmentation of microglia from confocal microscope images combining the fast marching method with Harris points","author":"Rouchdy","year":"2008"},{"key":"10.1016\/j.jneumeth.2015.02.014_bib0225","first-page":"4","article-title":"Retinal blood vessel segmentation using geodesic voting methods","volume":"74","author":"Rouchdy","year":"2012","journal-title":"IEEE Int Symp Biomed Imaging"},{"key":"10.1016\/j.jneumeth.2015.02.014_bib0230","first-page":"5","article-title":"Minimal path techniques for automatic extraction of microglia extensions","volume":"3","author":"Rouchdy","year":"2011","journal-title":"Int J Comput Vis Biomech"},{"issue":"April (5)","key":"10.1016\/j.jneumeth.2015.02.014_bib0235","doi-asserted-by":"crossref","first-page":"866","DOI":"10.1038\/nprot.2008.51","article-title":"L-Measure: a web-accessible tool for the analysis, comparison and search of digital reconstructions of neuronal morphologies","volume":"3","author":"Scorcioni","year":"2008","journal-title":"Nat Protoc"},{"issue":"4","key":"10.1016\/j.jneumeth.2015.02.014_bib0240","doi-asserted-by":"crossref","first-page":"1591","DOI":"10.1073\/pnas.93.4.1591","article-title":"A fast marching level set method for monotonically advancing fronts","volume":"93","author":"Sethian","year":"1996","journal-title":"Proc Natl Acad Sci U S A"},{"key":"10.1016\/j.jneumeth.2015.02.014_bib0245","series-title":"Level set methods and fast marching methods: evolving interfaces in computational geometry, fluid mechanics, computer vision, and materials science","first-page":"3","author":"Sethian","year":"1999"},{"key":"10.1016\/j.jneumeth.2015.02.014_bib0250","series-title":"Synthesis lectures in artificial intelligence and machine learning","first-page":"1","article-title":"Active learning","author":"Settles","year":"2012"},{"issue":"January (1)","key":"10.1016\/j.jneumeth.2015.02.014_bib0255","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1177\/0192623310385254","article-title":"Role of astrocytes in brain function and disease","volume":"39","author":"Sidoryk-Wegrzynowicz","year":"2011","journal-title":"Toxicol Pathol"},{"issue":"June","key":"10.1016\/j.jneumeth.2015.02.014_bib0260","first-page":"2697","article-title":"Multiscale centerline detection by learning a scale-space distance transform","author":"Sironi","year":"2014","journal-title":"Comput Vis Pattern Recognit"},{"issue":"1","key":"10.1016\/j.jneumeth.2015.02.014_bib0265","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1007\/s00401-009-0619-8","article-title":"Astrocytes: biology and pathology","volume":"119","author":"Sofroniew","year":"2010","journal-title":"Acta Neuropathol"},{"issue":"May (6884)","key":"10.1016\/j.jneumeth.2015.02.014_bib0270","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1038\/417039a","article-title":"Astroglia induce neurogenesis from adult neural stem cells","volume":"417","author":"Song","year":"2002","journal-title":"Nature"},{"issue":"1","key":"10.1016\/j.jneumeth.2015.02.014_bib0275","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1109\/MC.1983.1654163","article-title":"Biomedical image processing","volume":"16","author":"Sternberg","year":"1983","journal-title":"Computer"},{"key":"10.1016\/j.jneumeth.2015.02.014_bib0280","article-title":"Scalable interactive analysis of retinal astrocyte networks","author":"Suwannatat","year":"2012","journal-title":"IEEE Symp Biol Data Vis"},{"key":"10.1016\/j.jneumeth.2015.02.014_bib0340","doi-asserted-by":"crossref","unstructured":"T\u00fcretken E, Benmansour F, Fua P. Automated Reconstruction of Tree Structures using Path Classifiers and Mixed Integer Programming. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, Rhode Island, IEEE Conference on Computer Vision and Pattern Recognition, 2012.","DOI":"10.1109\/CVPR.2012.6247722"},{"key":"10.1016\/j.jneumeth.2015.02.014_bib0345","doi-asserted-by":"crossref","unstructured":"T\u00fcretken E, Becker C, Glowacki P, Benmansour F, Fua P. Detecting Irregular Curvilinear Structures in Gray Scale and Color Imagery using Multi-Directional Oriented Flux. International Conference on Computer Vision (ICCV), Sydney, Australia, 2013.","DOI":"10.1109\/ICCV.2013.196"},{"issue":"2","key":"10.1016\/j.jneumeth.2015.02.014_bib0285","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1109\/TMI.2006.889722","article-title":"Robust 3D modeling of vasculature imagery using superellipsoids","volume":"26","author":"Tyrrell","year":"2007","journal-title":"IEEE Trans Med Imaging"},{"key":"10.1016\/j.jneumeth.2015.02.014_bib0290","series-title":"Glial neurobiology","author":"Verkhratsky","year":"2007"},{"key":"10.1016\/j.jneumeth.2015.02.014_bib0295","first-page":"1105","article-title":"Novel 4D open-curve active contour and curve completion approach for automated tree structure extraction","author":"Wang","year":"2011","journal-title":"Comput Vis Pattern Recognit"},{"issue":"September (2\u20133)","key":"10.1016\/j.jneumeth.2015.02.014_bib0300","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1007\/s12021-011-9110-5","article-title":"A broadly applicable 3D neuron tracing method based on open-curve snake","volume":"9","author":"Wang","year":"2011","journal-title":"Neuroinformatics"},{"issue":"May (21)","key":"10.1016\/j.jneumeth.2015.02.014_bib0325","doi-asserted-by":"crossref","first-page":"5016","DOI":"10.1523\/JNEUROSCI.0820-04.2004","article-title":"Absence of glial fibrillary acidic protein and vimentin prevents hypertrophy of astrocytic processes and improves post-traumatic regeneration","volume":"24","author":"Wilhelmsson","year":"2004","journal-title":"J Neurosci"},{"issue":"June (11)","key":"10.1016\/j.jneumeth.2015.02.014_bib0305","doi-asserted-by":"crossref","first-page":"1448","DOI":"10.1093\/bioinformatics\/btt170","article-title":"APP2: automatic tracing of 3D neuron morphology based on hierarchical pruning of a gray-weighted image distance-tree","volume":"29","author":"Xiao","year":"2013","journal-title":"Bioinformatics"},{"key":"10.1016\/j.jneumeth.2015.02.014_bib0310","first-page":"1356","article-title":"Unsupervised inference of arbor morphology progression for microglia from confocal microscope images","author":"Xu","year":"2013","journal-title":"Int Symp Biomed Imaging"},{"issue":"October (5)","key":"10.1016\/j.jneumeth.2015.02.014_bib0315","doi-asserted-by":"crossref","first-page":"588","DOI":"10.1016\/j.conb.2010.06.005","article-title":"Astrocyte heterogeneity: an underappreciated topic in neurobiology","volume":"20","author":"Zhang","year":"2010","journal-title":"Curr Opin Neurobiol"},{"issue":"November (2)","key":"10.1016\/j.jneumeth.2015.02.014_bib0320","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1002\/glia.10283","article-title":"Early loss of astrocytes after experimental traumatic brain injury","volume":"44","author":"Zhao","year":"2003","journal-title":"Glia"}],"container-title":["Journal of Neuroscience Methods"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165027015000667?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165027015000667?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T23:23:41Z","timestamp":1781220221000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0165027015000667"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,5]]},"references-count":69,"alternative-id":["S0165027015000667"],"URL":"https:\/\/doi.org\/10.1016\/j.jneumeth.2015.02.014","relation":{},"ISSN":["0165-0270"],"issn-type":[{"value":"0165-0270","type":"print"}],"subject":[],"published":{"date-parts":[[2015,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Quantitative 3-D analysis of GFAP labeled astrocytes from fluorescence confocal images","name":"articletitle","label":"Article Title"},{"value":"Journal of Neuroscience Methods","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jneumeth.2015.02.014","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"Copyright \u00a9 2015 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}]}}