Evidence map›Paper›PMID 33810262›Full record

ArticleMicromachines2021

Optical Investigation of Individual Red Blood Cells for Determining Cell Count and Cellular Hemoglobin Concentration in a Microfluidic Channel.

Ann-Kathrin Reichenwallner, Esma Vurmaz, Kristina Battis, Laura Handl, Helin Üstün, Tivadar Mach, Gabriele Hörnig, Jan Lipfert, Lukas Richter

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 38% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Ann-Kathrin ReichenwallnerTechnologies for Precision Medicine, Siemens Healthcare GmbH, Günther-Scharowsky-Str. 1, 91058 Erlangen, Germany.
Esma VurmazTechnologies for Precision Medicine, Siemens Healthcare GmbH, Günther-Scharowsky-Str. 1, 91058 Erlangen, Germany.
Kristina BattisTechnologies for Precision Medicine, Siemens Healthcare GmbH, Günther-Scharowsky-Str. 1, 91058 Erlangen, Germany.
Laura HandlTechnologies for Precision Medicine, Siemens Healthcare GmbH, Günther-Scharowsky-Str. 1, 91058 Erlangen, Germany.
Helin ÜstünTechnologies for Precision Medicine, Siemens Healthcare GmbH, Günther-Scharowsky-Str. 1, 91058 Erlangen, Germany.
Tivadar MachTechnologies for Precision Medicine, Siemens Healthcare GmbH, Günther-Scharowsky-Str. 1, 91058 Erlangen, Germany.
Gabriele HörnigProduct Lifecycle Management, Siemens Healthcare GmbH, Röntgenstr. 19-21, 95478 Kemnath, Germany.
Jan LipfertDepartment of Physics and Center for Nanoscience, LMU Munich, Amalienstr. 54, 80799 Munich, Germany.ORCID 0000-0003-3613-7896
Lukas RichterTechnologies for Precision Medicine, Siemens Healthcare GmbH, Günther-Scharowsky-Str. 1, 91058 Erlangen, Germany.
Siemens Healthineers (Germany) · DECenter for NanoScience · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We demonstrate a blood analysis routine by observing red blood cells through light and digital holographic microscopy in a microfluidic channel. With this setup a determination of red blood cell (RBC) concentration, the mean corpuscular volume (MCV), and corpuscular hemoglobin concentration mean (CHCM) is feasible. Cell count variations in between measurements differed by 2.47% with a deviation of -0.26×106 μL to the reference value obtained from the Siemens ADVIA 2120i. Measured MCV values varied by 2.25% and CHCM values by 3.78% compared to the reference ADVIA measurement. Our results suggest that the combination of optical analysis with microfluidics handling provides a promising new approach to red blood cell counts.

Indexed as

blood analysiscellular hemoglobin concentrationcellular volumedigital holographic microscopyhydrodynamic focusingmicrofluidicsRBC counting

Identifiers

PMID33810262
PMCPMC8066749
OpenAlexW3146811970

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.