Evidence map›Paper›PMID 33365364›Full record

ArticleOptica2020

mHealth spectroscopy of blood hemoglobin with spectral super-resolution.

Sang Mok Park, Michelle A Visbal-Onufrak, Md Munirul Haque, Martin C Were, Violet Naanyu, Md Kamrul Hasan, Young L Kim

Open access · goldAbstract read
In one paragraph

Article in Optica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% of its field
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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.

  1. Pooled it
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  9. Hyperspectral Information Extraction With Full Resolution From Arbitrary Photographs.IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · 2025
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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

7 authors at 5 institutions in 2 countries.

Sang Mok ParkWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47907, USA.
Michelle A Visbal-OnufrakWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47907, USA.ORCID 0000-0003-0754-0539
Md Munirul HaqueR. B. Annis School of Engineering, University of Indianapolis, Indianapolis, Indiana 46227, USA.
Martin C WereDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee 37212, USA.
Violet NaanyuDepartment of Behavioral Sciences, Moi University School of Medicine, Eldoret, Kenya.
Md Kamrul HasanDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee 37212, USA.
Young L KimWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47907, USA.
Purdue University West Lafayette · USVanderbilt University · USIndianapolis Zoo · USMoi University · KERegenstrief Institute · US

Funding

Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
Laboratory test-comparable mobile assessments of hemoglobin for anemia detectionR21TW010620 · FIC · PURDUE UNIVERSITY · PI KIM, YOUNG L · 2017 to 2018
$455k
FIC NIH HHS R21 TW010620NCATS NIH HHS UL1 TR001108
6 · The paper itself

Abstract

Although blood hemoglobin (Hgb) testing is a routine procedure in a variety of clinical situations, noninvasive, continuous, and real-time blood Hgb measurements are still challenging. Optical spectroscopy can offer noninvasive blood Hgb quantification, but requires bulky optical components that intrinsically limit the development of mobile health (mHealth) technologies. Here, we report spectral super-resolution (SSR) spectroscopy that virtually transforms the built-in camera (RGB sensor) of a smartphone into a hyperspectral imager for accurate and precise blood Hgb analyses. Statistical learning of SSR enables us to reconstruct detailed spectra from three color RGB data. Peripheral tissue imaging with a mobile application is further combined to compute exact blood Hgb content without

Identifiers

PMID33365364
PMCPMC7755164
OpenAlexW3022047430

What OpenQuestion holds

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Registered trials

None linked

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.