{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T05:08:22Z","timestamp":1768453702631,"version":"3.49.0"},"reference-count":36,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2019,11,5]],"date-time":"2019-11-05T00:00:00Z","timestamp":1572912000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Biophotonics"],"published-print":{"date-parts":[[2020,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Multispectral imaging combines the spectral resolution of spectroscopy with the spatial resolution of imaging and is therefore very useful for biomedical applications. Currently, histological diagnostics use mainly stainings with standard dyes (eg, hematoxylin + eosin) to identify tumors. This method is not applicable in vivo and provides low amounts of chemical information. Biomolecules absorb near infrared light (NIR, 800\u20101700\u2009nm) at different wavelengths, which could be used to fingerprint tissue. Here, we built a NIR multispectral absorption imaging setup to study skin tissue samples. NIR light (900\u20101500\u2009nm) was used for homogenous wide\u2010field transmission illumination and detected by a cooled InGaAs camera. In this setup, images I(<jats:italic>x<\/jats:italic>, <jats:italic>y<\/jats:italic>, <jats:italic>\u03bb<\/jats:italic>) from dermatological samples (melanoma, nodular basal\u2010cell carcinoma, squamous\u2010cell carcinoma) were acquired to distinguish healthy from diseased tissue regions. In summary, we show the potential of multispectral NIR imaging for cancer diagnostics.<\/jats:p><jats:p><jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/jbio201960080-gra-0001.png\" xlink:title=\"image\"\/><\/jats:p>","DOI":"10.1002\/jbio.201960080","type":"journal-article","created":{"date-parts":[[2019,10,11]],"date-time":"2019-10-11T08:44:56Z","timestamp":1570783496000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Multispectral near infrared absorption imaging for histology of skin cancer"],"prefix":"10.1002","volume":"13","author":[{"given":"Alexander","family":"Spreinat","sequence":"first","affiliation":[{"name":"Institute of Physical Chemistry G\u00f6ttingen University  G\u00f6ttingen Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gabriele","family":"Selvaggio","sequence":"additional","affiliation":[{"name":"Institute of Physical Chemistry G\u00f6ttingen University  G\u00f6ttingen Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luise","family":"Erpenbeck","sequence":"additional","affiliation":[{"name":"Department of Dermatology, Venereology and Allergology University Medical Center  G\u00f6ttingen Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0638-9822","authenticated-orcid":false,"given":"Sebastian","family":"Kruss","sequence":"additional","affiliation":[{"name":"Institute of Physical Chemistry G\u00f6ttingen University  G\u00f6ttingen Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2019,11,5]]},"reference":[{"key":"e_1_2_6_2_1","volume-title":"Histopatholoie","author":"Thomas C.","year":"1986"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2009.2034865"},{"key":"e_1_2_6_4_1","first-page":"999","volume":"15","author":"Welzel J.","year":"2017","journal-title":"J. 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