Evidence map›Paper›PMID 35105914›Full record

ArticleScientific reports2022

Potential of cell tracking velocimetry as an economical and portable hematology analyzer.

Jenifer Gómez-Pastora, Mitchell Weigand, James Kim, Andre F Palmer, Mark Yazer, Payal C Desai, Maciej Zborowski, Jeffrey J Chalmers

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Separation of intrinsically magnetic cells using magnetic filters.Separation and purification technology · 2025
    Article
  6. Article
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

8 authors at 3 institutions in 1 country.

Jenifer Gómez-Pastora *William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, 151 West Woodruff Avenue, Columbus, OH, 43210, USA. jennifer.gomez611@gmail.com.
Mitchell Weigand *William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, 151 West Woodruff Avenue, Columbus, OH, 43210, USA.
James Kim *William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, 151 West Woodruff Avenue, Columbus, OH, 43210, USA.
Andre F PalmerWilliam G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, 151 West Woodruff Avenue, Columbus, OH, 43210, USA.
Mark YazerDepartment of Pathology, University of Pittsburgh, 3636 Blvd of the Allies, Pittsburgh, PA, 15213, USA.
Payal C DesaiDivision of Hematology, Department of Internal Medicine, The Ohio State University, Lincoln Tower - 1100-D, 1800 Cannon Drive, Columbus, OH, 43210, USA.
Maciej ZborowskiDepartment of Biomedical Engineering, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.
Jeffrey J ChalmersWilliam G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, 151 West Woodruff Avenue, Columbus, OH, 43210, USA.
The Ohio State University · USCleveland Clinic · USUniversity of Pittsburgh · US

Funding

Fractionation of Aged RBCs Based on Hemoglobin ContentR01HL131720 · NHLBI · OHIO STATE UNIVERSITY · PI CHALMERS, JEFFREY JOHN, PALMER, ANDRE FRANCIS · 2017 to 2020
$2.7M
Development of single cell magnetophoresis to analyze and isolate glioma cancer stem cellsR21CA250118 · NCI · OHIO STATE UNIVERSITY · PI CHALMERS, JEFFREY JOHN, VENERE, MONICA · 2020 to 2021
$385k
NCI NIH HHS R21 CA250118NHLBI NIH HHS 1R01HL131720-01A1NHLBI NIH HHS R01 HL131720
6 · The paper itself

Abstract

Anemia and iron deficiency continue to be the most prevalent nutritional disorders in the world, affecting billions of people in both developed and developing countries. The initial diagnosis of anemia is typically based on several markers, including red blood cell (RBC) count, hematocrit and total hemoglobin. Using modern hematology analyzers, erythrocyte parameters such as mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), etc. are also being used. However, most of these commercially available analyzers pose several disadvantages: they are expensive instruments that require significant bench space and are heavy enough to limit their use to a specific lab and lead to a delay in results, making them less practical as a point-of-care instrument that can be used for swift clinical evaluation. Thus, there is a need for a portable and economical hematology analyzer that can be used at the point of need. In this work, we evaluated the performance of a system referred to as the cell tracking velocimetry (CTV) to measure several hematological parameters from fresh human blood obtained from healthy donors and from sickle cell disease subjects. Our system, based on the paramagnetic behavior that deoxyhemoglobin or methemoglobin containing RBCs experience when suspended in water after applying a magnetic field, uses a combination of magnets and microfluidics and has the ability to track the movement of thousands of red cells in a short period of time. This allows us to measure not only traditional RBC indices but also novel parameters that are only available for analyzers that assess erythrocytes on a cell by cell basis. As such, we report, for the first time, the use of our CTV as a hematology analyzer that is able to measure MCV, MCH, mean corpuscular hemoglobin concentration (MCHC), red cell distribution width (RDW), the percentage of hypochromic cells (which is an indicator of insufficient marrow iron supply that reflects recent iron reduction), and the correlation coefficients between these metrics. Our initial results indicate that most of the parameters measured with CTV are within the normal range for healthy adults. Only the parameters related to the red cell volume (primarily MCV and RDW) were outside the normal range. We observed significant discrepancies between the MCV measured by our technology (and also by an automated cell counter) and the manual method that calculates MCV through the hematocrit obtained by packed cell volume, which are attributed to the artifacts of plasma trapping and cell shrinkage. While there may be limitations for measuring MCV, this device offers a novel point of care instrument to provide rapid RBC parameters such as iron stores that are otherwise not rapidly available to the clinician. Thus, our CTV is a promising technology with the potential to be employed as an accurate, economical, portable and fast hematology analyzer after applying instrument-specific reference ranges or correction factors.

Indexed as

Erythrocyte IndicesAdultAnemia, Sickle CellCase-Control StudiesCell TrackingData AccuracyErythrocyte CountErythrocytesFemaleFlow CytometryHematocritHemoglobinsHumansMagnetic FieldsMaleMicrofluidicsHemoglobins

Identifiers

PMID35105914
PMCPMC8807587
OpenAlexW4220945545

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.