Joshua A Burrow, Rutendo Jakachira, Gannon Lemaster, Kimani C Toussaint
{"title":"Smartphone tristimulus colorimetry for skin-tone analysis at common pulse oximetry anatomical sites.","authors":"Joshua A Burrow, Rutendo Jakachira, Gannon Lemaster, Kimani C Toussaint","doi":"10.1117/1.BIOS.2.3.032504","DOIUrl":null,"url":null,"abstract":"<p><strong>Significance: </strong>Smartphones hold great potential in point-of-care settings due to their accessibility and computational capabilities. This is critical as clinicians increasingly seek to quantify skin-tone, a characteristic that has been shown to impact the accuracy of pulse oximetry readings, particularly for dark skin tones, and, hence, disproportionately affect patient outcomes.</p><p><strong>Aim: </strong>We present a smartphone-based imaging technique for determining individual typology angle (ITA) and compare these results to those obtained using an industry-standard tristimulus colorimeter, particularly for the finger, a common site for pulse oximetry measurements.</p><p><strong>Approach: </strong>We employ a smartphone-based imaging method to extract ITA values from four volunteers across diverse skin-tones. We provide recommendations for minimizing errors caused by ambient light scattering, which can affect skin-tone readings.</p><p><strong>Results: </strong>The smartphone-based ITA (SITA) measurements with camera flash disabled and minimal ambient lighting correlate well with an industry-standard colorimeter without the need for auxiliary adapters and complex calibration. The method presented enables wide-field ITA mapping for skin-tone quantification that is accessible to clinicians.</p><p><strong>Conclusions: </strong>Our findings demonstrate that smartphone-based imaging provides an effective alternative for assessing skin-tone in clinical settings. The reduced complexity of the approach presented makes it highly accessible to the clinical community and others interested in carrying out pulse oximetry across a diversity of skin-tones in a manner that standardizes skin-tone assessment.</p>","PeriodicalId":519981,"journal":{"name":"Biophotonics discovery","volume":"2 3","pages":"032504"},"PeriodicalIF":0.0000,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13052481/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biophotonics discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/1.BIOS.2.3.032504","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/7/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Significance: Smartphones hold great potential in point-of-care settings due to their accessibility and computational capabilities. This is critical as clinicians increasingly seek to quantify skin-tone, a characteristic that has been shown to impact the accuracy of pulse oximetry readings, particularly for dark skin tones, and, hence, disproportionately affect patient outcomes.
Aim: We present a smartphone-based imaging technique for determining individual typology angle (ITA) and compare these results to those obtained using an industry-standard tristimulus colorimeter, particularly for the finger, a common site for pulse oximetry measurements.
Approach: We employ a smartphone-based imaging method to extract ITA values from four volunteers across diverse skin-tones. We provide recommendations for minimizing errors caused by ambient light scattering, which can affect skin-tone readings.
Results: The smartphone-based ITA (SITA) measurements with camera flash disabled and minimal ambient lighting correlate well with an industry-standard colorimeter without the need for auxiliary adapters and complex calibration. The method presented enables wide-field ITA mapping for skin-tone quantification that is accessible to clinicians.
Conclusions: Our findings demonstrate that smartphone-based imaging provides an effective alternative for assessing skin-tone in clinical settings. The reduced complexity of the approach presented makes it highly accessible to the clinical community and others interested in carrying out pulse oximetry across a diversity of skin-tones in a manner that standardizes skin-tone assessment.