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The software supports three target structures\u2014cells, neurons and vasculature\u2014and exports their morphological reconstructions in standard SWC format. To accelerate training data preparation, Smart Annotation tools provide sub-volume interference isolation, coarse-vessel ray tracing, and skeleton auto-interpolation. For inference, optimized block-wise strategies enable a standard 3D U-Net to predict whole-brain volumes up to 12\u202fTB on a single consumer-grade GPU, while an interrupt-and-resume engine ensures fault tolerance during extended computations. By integrating these features, BVLab-Analyzer lowers the hardware barrier for whole-brain analysis and unifies previously fragmented toolchains\u2014from annotation and segmentation to reconstruction and quantification\u2014into a single, accessible software environment.<\/jats:p>","DOI":"10.3389\/fninf.2026.1925112","type":"journal-article","created":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T05:50:26Z","timestamp":1791352226000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["BVLab-analyzer: a unified visual toolbox for terabyte-scale whole-brain cell detection, neuron reconstruction, and vascular network extraction"],"prefix":"10.3389","volume":"20","author":[{"given":"Ying","family":"Hu","sequence":"first","affiliation":[{"name":"School of Mathematics and Statistics, Hubei University of Education","place":["Wuhan, Hubei, China"]},{"name":"Institute of Big Data Analysis and Applied Mathematics, Hubei University of Education","place":["Wuhan, Hubei, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaojun","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University","place":["Sanya, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pei","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Clinical Research Institute, Central People\u2019s Hospital of Zhanjiang","place":["Zhanjiang, Guangdong, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Shen","sequence":"additional","affiliation":[{"name":"Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology","place":["Wuhan, Hubei, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tingwei","family":"Quan","sequence":"additional","affiliation":[{"name":"Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology","place":["Wuhan, Hubei, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,10,7]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1038\/s41592-024-02583-1","article-title":"A deep learning pipeline for three-dimensional brain-wide mapping of local neuronal ensembles in teravoxel light-sheet microscopy","volume":"22","author":"Attarpour","year":"2025","journal-title":"Nat. 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