Flow Cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial intelligence methods

Published: 17 June 2022| Version 5 | DOI: 10.17632/jk4dt6wprv.5
Contributors:
Michael Thrun,
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Description

Details are published in an accompanying article (17. June 2022): Thrun, M. C., Hoffman, J., Röhnert, M., Von Bonin, M., Oelschlägel, U., Brendel, C., & Ultsch, A.: Flow Cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial intelligence methods, Data in Brief, pp. 108382, DOI: https://doi.org/10.1016/j.dib.2022.108382, in press, 2022. Data measured by flow cytometers with the feautres forward and side light scatter (FS and SS) and use the same panel of fluorescent antibody clones against the same antigens:, CD34 FITC (Fluoresceinisothiocyanate) (8G12), CD13 PE (Phycoerythrin) (L138), CD7 PerCP-Cy5.5 (Peridinin chlorophyll protein-Cyanine5.5) (M-T701), CD56 APC (Allophycocyanin) (NCAM16.2), CD33 PE-Cy7 (Phycoerythrin Cyanine7) (D3HL60.251), CD117 AlexaFluor750〖^TM〗 (104D2D1), HLA-DR Pacific blue〖^TM〗 (Immu357), CD45 Krome Orange〖^TM〗 (J33). Data were acquired with the following two flow cytometers: • Dresden: (N=44): BD FACSCanto II™, BD Biosciences (Heidelberg) • Marburg: (N=14 and N=50): Navios™, Beckman Coulter (Krefeld)

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Steps to reproduce

Samples are anonymized. Samples are automatically compensated within the instrument settings of the flow cytometer device. Data are scaled in log and have the range between zero and six.

Institutions

Philipps-Universitat Marburg Fachbereich Medizin, Universitatsklinikum Carl Gustav Carus Medizinische Klinik und Poliklinik I

Categories

Immunology, Hematology, Immunophenotyping

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