Evidence map›Paper›PMID 30581697›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2018

Label-Free High-Throughput Leukemia Detection by Holographic Microscopy.

Matthias Ugele, Markus Weniger, Manfred Stanzel, Michael Bassler, Stefan W Krause, Oliver Friedrich, Oliver Hayden, Lukas Richter

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 79 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

8 authors at 5 institutions in 1 country.

Matthias UgeleIn-Vitro DX and Bioscience Department of Strategy and Innovation Siemens Healthcare GmbH Günther-Scharowsky-Str. 1 91058 Erlangen Germany.ORCID https://orcid.org/0000-0002-6512-7294
Markus WenigerIn-Vitro DX and Bioscience Department of Strategy and Innovation Siemens Healthcare GmbH Günther-Scharowsky-Str. 1 91058 Erlangen Germany.
Manfred StanzelIn-Vitro DX and Bioscience Department of Strategy and Innovation Siemens Healthcare GmbH Günther-Scharowsky-Str. 1 91058 Erlangen Germany.
Michael BasslerAnalysesysteme und Sensorik Fraunhofer IMM Carl-Zeiss-Str. 18-20 55129 Mainz Germany.
Stefan W KrauseMedizinische Klinik 5 Hämatologie and Internistische Onkologie Ulmenweg 18 91054 Erlangen Germany.
Oliver FriedrichDepartment of Chemical and Biological Engineering Institute of Medical Biotechnology Friedrich-Alexander-University Erlangen-Nuremberg Paul-Gordan-Str. 3 91052 Erlangen Germany.
Oliver HaydenIn-Vitro DX and Bioscience Department of Strategy and Innovation Siemens Healthcare GmbH Günther-Scharowsky-Str. 1 91058 Erlangen Germany.
Lukas RichterIn-Vitro DX and Bioscience Department of Strategy and Innovation Siemens Healthcare GmbH Günther-Scharowsky-Str. 1 91058 Erlangen Germany.
Siemens Healthineers (Germany) · DEFriedrich-Alexander-Universität Erlangen-Nürnberg · DECarl Zeiss (Germany) · DEPraxis für Hämatologie und Onkologie · DETUM Klinikum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complete blood count and differentiation of leukocytes (DIFF) belong to the most frequently performed laboratory diagnostic tests. Here, a flow cytometry-based method for label-free DIFF of untouched leukocytes by digital holographic microscopy on the rich phase contrast of peripheral leukocyte images, using highly controlled 2D hydrodynamic focusing conditions is reported. Principal component analysis of morphological characteristics of the reconstructed images allows classification of nine leukocyte types, in addition to different types of leukemia and demonstrates disappearance of acute myeloid leukemia cells in remission. To exclude confounding effects, the classification strategy is tested by the analysis of 20 blinded clinical samples. Here, 70% of the specimens are correctly classified with further 20% classifications close to a correct diagnosis. Taken together, the findings indicate a broad clinical applicability of the cytometry method for automated and reagent-free diagnosis of hematological disorders.

Indexed as

digital holographic microscopylabel‐free detectionleukemiamicrofluidics

Identifiers

PMID30581697
PMCPMC6299719
OpenAlexW2897592759

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.