A large expert-annotated single-cell peripheral blood dataset for hematological disease diagnostics

Distinguishing cell types in a peripheral blood smear is critical for diagnosing blood diseases, such as leukemia subtypes. Artificial intelligence can assist in automating cell classification. For training robust machine learning algorithms, however, large and well-annotated single-cell datasets are pivotal. Here, we introduce a large, publicly available, annotated peripheral blood dataset comprising >40,000 single-cell images classified into 18 classes by cytomorphology experts from the Munich Leukemia Laboratory, the largest European laboratory for blood disease diagnostics. By making our dataset publicly available, we provide a valuable resource for medical and machine learning researchers and support the development of reliable and clinically relevant diagnostic tools for diagnosing hematological diseases.

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Publication Details

Journal
Scientific Data
Published
2025-11-11
DOI
https://doi.org/10.1038/s41597-025-06223-x
Primary Topic
Digital Imaging for Blood Diseases
Type
article
Field-Weighted Citation Impact
0.00

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article

A large expert-annotated single-cell peripheral blood dataset for hematological disease diagnostics

Karsten Spiekermann, Armin Gruber, Sayedali Shetab Boushehri, Carsten Marr et al.
Scientific Data
Digital Imaging for Blood Diseases
article

A large expert-annotated single-cell peripheral blood dataset for hematological disease diagnostics

Karsten Spiekermann, Armin Gruber, Sayedali Shetab Boushehri, Carsten Marr, Christian Matek, Christian Pohlkamp, Salome Kazeminia, Torsten Haferlach
article en

Abstract

Distinguishing cell types in a peripheral blood smear is critical for diagnosing blood diseases, such as leukemia subtypes. Artificial intelligence can assist in automating cell classification. For training robust machine learning algorithms, however, large and well-annotated single-cell datasets are pivotal. Here, we introduce a large, publicly available, annotated peripheral blood dataset comprising >40,000 single-cell images classified into 18 classes by cytomorphology experts from the Munich Leukemia Laboratory, the largest European laboratory for blood disease diagnostics. By making our dataset publicly available, we provide a valuable resource for medical and machine learning researchers and support the development of reliable and clinically relevant diagnostic tools for diagnosing hematological diseases.

Scientific DataVol. 12(1)
Roche (Switzerland) (CH), German Cancer Research Center (DE), Heidelberg University (DE), Helmholtz Zentrum München (DE), LMU Klinikum (DE), Munich Leukemia Laboratory (Germany) (DE), Deutsches Konsortium für Translationale Krebsforschung (DE), Technical University of Munich (DE), Ludwig-Maximilians-Universität München (DE)
F. Hoffmann-La Roche, European Commission, Ludwig-Maximilians-Universität München
Openalex Percentile: Top 66%
Digital Imaging for Blood Diseases
DOIOpen Access PDFOpenAlex
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A large expert-annotated single-cell peripheral blood dataset for hematological disease diagnostics — Karsten Spiekermann, Armin Gruber, et al. · Scientific Data (2025) | TGRS Research Map | TGRS