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Existing analysis approaches primarily rely on vessel abundance\u2010based morphometrics and often fail to resolve network connectivity and spatial remodeling in heterogeneous vascular systems. Here, we present the iMAP platform, a high\u2010throughput digital vascular profiling framework that integrates an injection\u2010molded microfluidic chip with an interactive image analysis tool (iMAP Analyzer). This platform enables topology\u2010resolved and region\u2010aware quantification of vascular architecture, capturing vessel morphology, branching complexity, connectivity, and spatial variation between tumor\u2010proximal and distal regions. 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The iMAP framework offers a scalable and standardized approach for quantitative vascular phenotyping in complex MPS, supporting high\u2010content analysis and advancing the development of vascularized in vitro disease models.<\/jats:p>","DOI":"10.1002\/adhm.202505866","type":"journal-article","created":{"date-parts":[[2026,7,6]],"date-time":"2026-07-06T16:25:13Z","timestamp":1783355113000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["High\u2010Throughput Digital Decoding of Vascular Heterogeneity in Patient\u2010Specific Tumor Microenvironments"],"prefix":"10.1002","volume":"15","author":[{"given":"Jungseub","family":"Lee","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering Seoul National University  Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wooju","family":"Park","sequence":"additional","affiliation":[{"name":"Department of BioNano 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