Evidence map›Paper›PMID 42028258›Full record

ArticleBiophotonics discovery2025

Smartphone tristimulus colorimetry for skin-tone analysis at common pulse oximetry anatomical sites.

Joshua A Burrow, Rutendo Jakachira, Gannon Lemaster, Kimani C Toussaint

Abstract read
In one paragraph

Article in Biophotonics discovery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Joshua A BurrowMorgan State University, Electrical & Computer Engineering Department, Baltimore, Maryland, United States.ORCID https://orcid.org/0000-0002-1237-4662
Rutendo JakachiraBrown University, School of Engineering, PROBE Lab, Providence, Rhode Island, United States.ORCID https://orcid.org/0000-0001-6250-7630
Gannon LemasterBrown University, School of Engineering, PROBE Lab, Providence, Rhode Island, United States.
Kimani C ToussaintBrown University, School of Engineering, PROBE Lab, Providence, Rhode Island, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

colorimetryequitable healthindividual typology anglepulse oximetryskin-tonesmartphone

Identifiers

PMID42028258
PMCPMC13052481

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.