Flow Cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial intelligence methods
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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)
创建时间：
2022-06-17
