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However, conventional monocular camera systems capture only 2D information, rendering the accurate reconstruction of 3D morphological features challenging and thereby limiting their utility in precision measurement applications. To address this limitation, this study proposes a novel shadow\u2010assisted 3D calibration methodology. This approach reconstructs 3D morphology from a monocular camera viewpoint by introducing a controllable light source and leveraging shadow geometry. In this work, we establish a mathematical model for calibrating 3D structures using shadows and employ Convolutional Neural Network\u2010based 2D image analysis to achieve volumetric calibration. Applied to 3D hydrogel swelling colorimetric analysis for biomarker concentration determination, this method achieves a coefficient of determination (R\n                    <jats:sup>2<\/jats:sup>\n                    ) exceeding 0.998. The utilization of shadow\u2010calibrated 3D structural analysis yields a substantial enhancement in analytical accuracy. By design, this \u201cshadow\u2010calibrated\u201d strategy overcomes the dimensional constraints inherent to traditional 2D colorimetric analysis.\n                  <\/jats:p>","DOI":"10.1002\/advs.75171","type":"journal-article","created":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T10:21:19Z","timestamp":1775557279000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Shadow\u2010Calibrated Stereo Vision for Colorimetric Sweat Analysis"],"prefix":"10.1002","volume":"13","author":[{"given":"Ting","family":"Xiao","sequence":"first","affiliation":[{"name":"College of Chemistry and Materials Science, Guangdong Provincial Key Laboratory of Speed Capability Research, Su Bingtian Center for Speed Research and Training Jinan University  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuwen","family":"Yan","sequence":"additional","affiliation":[{"name":"College of Chemistry and 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