Evidence map›Paper›PMID 39794386›Full record

ArticleScientific reports2025

Smartphone based non invasive real time white blood cell counter leveraging blue light and static magnetic field.

Nafi Us Sabbir Sabith, Masud Rabbani, Kazi Shafiul Alam, Sheikh Iqbal Ahamed

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nafi Us Sabbir SabithDepartment of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI, USA. nafiussabbir.sabith@marquette.edu.
Masud RabbaniDepartment of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI, USA.
Kazi Shafiul AlamDepartment of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI, USA.
Sheikh Iqbal AhamedDepartment of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

White blood cells (WBCs), also known as leukocytes, are one of the most significant parts of the immune system. They generate antibodies, protect the body from illnesses, and heal wounds. Accurate estimation of WBCs is key for diagnosing cancer, infections, leukemia, lymphoma, and other diseases. However, the widely used Complete Blood Count (CBC) test presents challenges, including prick anxiety, discomfort, and logistical inconvenience to patients. This study introduces a ubiquous White Blood Cell counting system, UbiWhite, a novel smartphone-based, non-invasive system for real-time WBC counting from fingertip videos. Our system uses optical and magnetic techniques to provide accurate WBC counts without blood extraction. An initial experimentation was carried out on 20 adult participants to verify the system's effectiveness compared to standard CBC tests (IRB #4051). The developed algorithms exhibit 1.04 and 1.23 RMSE, respectively. Our innovation provides an easy, affordable, and instantaneous solution for monitoring WBCs in various healthcare settings, including homes and critical care units. Additionally, it serves as a beacon of hope for low- and middle-income nations, where access to and affordability of traditional lab tests are limited.

Indexed as

LeukocytesMagnetic FieldsSmartphoneAdultAlgorithmsBlue LightFemaleHumansLeukocyte CountLightMaleMiddle AgedMobile healthNon-invasive systemsPPG signalWhite blood cells

Identifiers

PMID39794386
PMCPMC11724022

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.