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Using publicly available H01 human temporal cortex data and open\u2010source tools, we developed a reproducible pipeline to decode sharded data, reconstruct neuronal and synaptic mesh models, and integrate mesh\u2010based morphometry with annotation\u2010derived laminar input analysis. The associated custom scripts will be released in a public repository upon publication. Morphometric analysis focused on a layer 5 pyramidal neuron, whereas laminar input profiles were examined in four layer 5 pyramidal neurons and four layer 5 interneurons. The reconstructed pyramidal neuron contained one soma, seven main limbs, and 207 branch\u2010level skeleton segments, with a skeleton length of 10.13\u00a0mm and a soma volume of 9191.33 \u00b5m\n                    <jats:sup>3<\/jats:sup>\n                    . Branch parameters showed right\u2010skewed heterogeneity, and branch length was strongly correlated with surface area (\n                    <jats:italic>r<\/jats:italic>\n                    = 0.864,\n                    <jats:italic>p<\/jats:italic>\n                    &lt; 0.001). Afferent synaptic subcompartments displayed irregular, flattened morphologies and continuous right\u2010skewed bounding\u2010box distributions without evidence of bimodality. Their volume and surface area were strongly correlated (\n                    <jats:italic>r<\/jats:italic>\n                    = 0.952,\n                    <jats:italic>p<\/jats:italic>\n                    &lt; 0.001), indicating coordinated geometric scaling. In the selected cohort, layer\u2010wise input annotations were concentrated in layers III\u2013V, with a layer V\u2010dominant profile in the selected pyramidal neurons and broader distributions in the selected interneurons. Overall, this H01\u2010based framework links neuronal morphology, synaptic\u2010subcompartment geometry, and laminar input estimates, while broader conclusions require validation across additional neurons and donors.\n                  <\/jats:p>","DOI":"10.1002\/dneu.70065","type":"journal-article","created":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T05:55:17Z","timestamp":1790661317000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Integrated Mesh\u2010Based Analysis of Neuronal Morphology, Synaptic Subcompartments, and Laminar Inputs in the H01 Human Temporal Cortex"],"prefix":"10.1002","volume":"86","author":[{"given":"Jiahe","family":"Jiao","sequence":"first","affiliation":[{"name":"School of Civil Engineering and Transportation South China University of Technology  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Civil Engineering and Transportation South China University of Technology  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiayu","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering South China University of Technology  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shoubin","family":"Dong","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering South China University of Technology  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Licheng","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Civil Engineering and Transportation South China University of Technology  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yiping","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Civil Engineering and Transportation South China University of Technology  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenyu","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Civil Engineering and Transportation South China University of Technology  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bao","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Civil Engineering and Transportation South China University of Technology  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zejia","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Civil Engineering and Transportation South China University of Technology  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liqun","family":"Tang","sequence":"additional","affiliation":[{"name":"School of Civil Engineering and Transportation South China University of Technology  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,9,28]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhae180"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1002\/cne.70060"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhab034"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhab120"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhad232"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.3389\/fnana.2024.1348032"},{"issue":"8058","key":"e_1_2_9_8_1","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1038\/s41586-025-08660-5","article-title":"NEURD Offers Automated Proofreading and Feature Extraction for Connectomics","volume":"640","author":"Celii B.","year":"2025","journal-title":"Nature"},{"issue":"2","key":"e_1_2_9_9_1","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1016\/0006-8993(68)90234-5","article-title":"Synaptic Patterns on Different Cell Types in the Different Laminae of the Cat Visual Cortex. 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