000108249 001__ 108249
000108249 005__ 20241029045218.0
000108249 0247_ $$2doi$$a10.7936/6rxs-108249
000108249 037__ $$aRDM
000108249 041__ $$aeng
000108249 245__ $$aOptical Absorption Spectroscopy Values of Common Biological Absorbers Spanning the Visible to the Short-Wave Infrared [dataset]
000108249 260__ $$bWashington University in St. Louis
000108249 269__ $$a2024-10-17
000108249 270__ $$mc.obrien@wustl.edu$$pChristine O'Brien
000108249 336__ $$aDataset
000108249 518__ $$d2022-08-20/2024-09-24
000108249 520__ $$aOptical absorption spectroscopy of individual tissue components is commonly used to identify optimum wavelengths for noninvasive light-based physiological monitoring. However, absorption spectroscopy has historically covered primarily the VIS and NIR wavelengths ranging from 400 to 1,000 nm. This limitation was primarily due to hardware lacking sensitivity at longer wavelengths. Hardware advancements in the SWIR range have enabled investigators to explore the SWIR wavelength range, from approximately 1,000 nm up to 3,000 nm. This region has characteristic absorption peaks for lipid, protein, and water, which are difficult to visualize in the VIS-NIR and can provide label-free sources of biological contrast. Additionally, melanin, the primary chromophore responsible for skin pigmentation, has lower SWIR absorption. Researchers have found that in vivo optical devices like clinically standard pulse oximeters may have reduced accuracy in people with darkly pigmented skin because they do not account for stronger melanin absorption in the VIS and NIR range. Thus, devices operating in the SWIR could significantly reduce error due to skin pigmentation. Understanding the absorption properties of core tissue components from the VIS to the SWIR range is vital for effective optical instrument design. These datasets provide detailed absorption values spanning the VIS to the SWIR of the following common tissue absorbers: oxygenated hemoglobin, deoxygenated hemoglobin, melanin, water, and lipids. 
000108249 536__ $$oNational Institutes of Health$$qhttps://ror.org/045p44t13$$rROR$$cR00HD103954
000108249 536__ $$oNational Institutes of Health$$qhttps://ror.org/045p44t13$$rROR$$cR21EB035823
000108249 536__ $$oNational Institutes of Health$$qhttps://ror.org/045p44t13$$rROR$$cUL1TR002345
000108249 540__ $$aCreative Commons Attribution Non-Commercial (CC BY-NC ) 4.0 International$$uhttps://creativecommons.org/licenses/by-nc/4.0/
000108249 650__ $$aBiological sciences
000108249 650__ $$aMedical engineering
000108249 650__ $$aHealth sciences
000108249 6531_ $$aAbsorption Spectroscopy
000108249 6531_ $$aShort-Wave Infrared (SWIR)
000108249 6531_ $$aVisible
000108249 6531_ $$aHemoglobin
000108249 6531_ $$aDeoxygenated Hemoglobin
000108249 6531_ $$aWater
000108249 6531_ $$aCorn Oil
000108249 6531_ $$aMelanin
000108249 655__ $$aTabular
000108249 7001_ $$aO'Brien, Christine$$1https://orcid.org/0000-0001-5353-9163$$uWashington University in St. Louis$$4https://ror.org/01yc7t268$$5ROR
000108249 7001_ $$aGruensfelder, Hannah$$1https://orcid.org/0009-0002-8680-2321$$uWashington University in St. Louis$$4https://ror.org/01yc7t268$$5ROR
000108249 7001_ $$aShofu, Folaoluwashewa $$1https://orcid.org/0009-0006-0092-5814$$uWashington University in St. Louis$$4https://ror.org/01yc7t268$$5ROR
000108249 7001_ $$aMichie, Megan$$1https://orcid.org/0000-0001-8749-4063$$uWashington University in St. Louis$$4https://ror.org/01yc7t268$$5ROR
000108249 7001_ $$aBerezin, Mikhail$$1https://orcid.org/0000-0002-2670-2487$$uWashington University in St. Louis$$4https://ror.org/01yc7t268$$5ROR
000108249 7001_ $$aShmuylovich, Leonid$$1https://orcid.org/0000-0001-9210-7873$$uWashington University in St. Louis$$4https://ror.org/01yc7t268$$5ROR
000108249 720__ $$aGruensfelder, Hannah$$uWashington University in St. Louis$$1https://orcid.org/0009-0002-8680-2321$$4https://ror.org/01yc7t268$$5ROR$$eProjectLeader$$7Personal
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000108249 909CO $$ooai:data.library.wustl.edu:108249$$pdataset
000108249 974__ $$aWashington University in St. Louis
000108249 980__ $$aWashU Researcher Data