Evidence map›Paper›PMID 40277913›Full record

ArticleCells2025

High-Efficiency Enrichment of Megakaryocytes and Identification of Micromegakaryocytes from Human Bone Marrow by Imaging Flow Cytometry.

Maya Nautrup Pedersen, Trine Engelbrecht Hybel, Jens Haugbølle Bjerre, Anne Sofie Borg Hammer, Anja Bille Bohn, Marie Bill, Carina Agerbo Rosenberg, Maja Ludvigsen

Abstract read
In one paragraph

Article in Cells, 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

8 authors.

Maya Nautrup PedersenDepartment of Hematology, Aarhus University Hospital, 8200 Aarhus, Denmark.
Trine Engelbrecht HybelDepartment of Hematology, Aarhus University Hospital, 8200 Aarhus, Denmark.ORCID 0000-0003-0166-8558
Jens Haugbølle BjerreDepartment of Pathology, Aarhus University Hospital, 8200 Aarhus, Denmark.
Anne Sofie Borg HammerDepartment of Pediatric and Adolescent Medicine, Aarhus University Hospital, 8200 Aarhus, Denmark.ORCID 0000-0002-8203-4954
Anja Bille BohnDepartment of Biomedicine, FACS Core Facility, Aarhus University, 8000 Aarhus, Denmark.ORCID 0009-0006-3012-2094
Marie BillDepartment of Hematology, Aarhus University Hospital, 8200 Aarhus, Denmark.
Carina Agerbo RosenbergDepartment of Hematology, Aarhus University Hospital, 8200 Aarhus, Denmark.ORCID 0000-0002-9609-8991
Maja LudvigsenDepartment of Hematology, Aarhus University Hospital, 8200 Aarhus, Denmark.ORCID 0000-0001-5089-3271

Funding

Aase and Ejnar Danielsen's Foundation NADagmar Marshall's Foundation NADanish Cancer Society NADepartment of Clinical Medicine, Aarhus University, Denmark NAEva and Henry Frænkel's Memorial Foundation NAFamily Hede Nielsen Foundation NAMax Wørzner and wife Inger Wørzner's Foundation NAPoul and Ellen Hertz's Foundation NAThe Toyota Foundation NA
6 · The paper itself

Abstract

Megakaryocytes (MKs) are rare, large, polyploid bone marrow (BM) cells responsible for the production of platelets. The identification and characterization of MKs is widely recognized as challenging. Manual microscopy is especially difficult due to the rarity and complex morphology of MKs, while flow cytometry faces additional challenges from MKs' large size, fragility, and platelet adhesion, causing false positives. We present a novel approach to accurately enrich MKs from human BM aspirates with a specific focus on the detection and quantification of microMKs. By integrating CD41

Indexed as

Bone MarrowBone Marrow CellsFlow CytometryMegakaryocytesHumansImmunophenotypingartificial intelligenceconvolutional neural networkdeep learninghuman bone marrowimaging flow cytometrymegakaryocytesmegakaryopoiesismicromegakaryocytesmyelodysplastic neoplasmsmyelodysplastic syndromes

Identifiers

PMID40277913
PMCPMC12026402

What OpenQuestion holds

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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.