{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T09:07:11Z","timestamp":1779268031944,"version":"3.51.4"},"reference-count":51,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2025,9,18]],"date-time":"2025-09-18T00:00:00Z","timestamp":1758153600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2025,9,18]],"date-time":"2025-09-18T00:00:00Z","timestamp":1758153600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Biophotonics"],"published-print":{"date-parts":[[2026,2]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Melanin deposition and erythema mainly constitute physiological responses of the skin to environmental changes and represent important factors evaluating and diagnosing the skin conditions. This study investigates the critical roles of melanin and hemoglobin in skin\u2010light interaction and combines spectral reflectance with single\u2010point pigment values (collected by Mexameter MX18) to achieve the objective imaging skin color assessment. Feature wavelengths selected by the competitive adaptive reweighted sampling algorithm aligned well with narrow wavelength band designed by MX18, effectively removing redundant data while maintaining the model accuracy. Furthermore, seven machine learning methods were compared and evaluated, among which the stacked generalization model demonstrated the best performance (RMSEV\u2009=\u200914.23, ,\n                    <jats:italic>RPD<\/jats:italic>\n                    <jats:sub>\n                      <jats:italic>v<\/jats:italic>\n                    <\/jats:sub>\n                    \u2009=\u20092.706 for melanin index; RMSEV\u2009=\u200931.74, ,\n                    <jats:italic>RPD<\/jats:italic>\n                    <jats:sub>\n                      <jats:italic>v<\/jats:italic>\n                    <\/jats:sub>\n                    \u2009=\u20092.002 for erythema index). Finally, hyperspectral imaging technology enabled the visualization of skin pigment distribution, providing a rapid and non\u2010invasive analytical tool for dermatological diagnosis and aesthetic evaluation.\n                  <\/jats:p>","DOI":"10.1002\/jbio.202500303","type":"journal-article","created":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T04:35:54Z","timestamp":1758256554000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Hyperspectral Imaging Combined With Machine Learning Methods to Quantify the Facial Skin Melanin and Erythema"],"prefix":"10.1002","volume":"19","author":[{"given":"Liangzhuang","family":"Wei","sequence":"first","affiliation":[{"name":"Academy for Engineering and Technology Fudan University  Shanghai China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangwei","family":"Yi","sequence":"additional","affiliation":[{"name":"Academy for Engineering and Technology Fudan University  Shanghai China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Cheng","sequence":"additional","affiliation":[{"name":"Institute for Electric Light Sources, School of Information Science and Technology Fudan University  Shanghai China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanyun","family":"Ma","sequence":"additional","affiliation":[{"name":"Academy for Engineering and Technology Fudan University  Shanghai China"},{"name":"Ministry of Education Key Laboratory of Contemporary Anthropology Fudan University  Shanghai China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1859-1411","authenticated-orcid":false,"given":"Yandan","family":"Lin","sequence":"additional","affiliation":[{"name":"Academy for Engineering and Technology Fudan University  Shanghai China"},{"name":"Institute for Electric Light Sources, School of Information Science and Technology Fudan University  Shanghai China"},{"name":"Ministry of Education Key Laboratory of Contemporary Anthropology Fudan University  Shanghai China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2025,9,18]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrmicro2537"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.ade6289"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jdsct.2024.100020"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijms26030961"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1600-0846.2010.00424.x"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/s43657-023-00105-1"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2025.108841"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1600-0625.2010.01078.x"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s43657-023-00142-w"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1002\/jbio.202000019"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/s43657\u2010024\u201000167\u20109"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1117\/1.JBO.18.12.127004"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1364\/OSAC.2.000905"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1111\/php.13725"},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.1117\/1.JBO.18.5.050902"},{"key":"e_1_2_8_17_1","doi-asserted-by":"publisher","DOI":"10.3390\/photonics6020061"},{"key":"e_1_2_8_18_1","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.384982"},{"key":"e_1_2_8_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412919"},{"issue":"5","key":"e_1_2_8_20_1","article-title":"Machine Learning to Extract Physiological Parameters From Multispectral Diffuse Reflectance Spectroscopy","volume":"26","author":"Nguyen M. 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