Additional Information about Data

• All single-cell images in this dataset were produced using the M8 digital microscope/scanner (Precipoint GmbH, Freising/Germany) from peripheral blood smears at 100x magnification and oil immersion. A coverage of 14.14 Pixels per Micron is given by the manufacturer.
• The abbreviations used for morphological classes in annotations and the folder structure are defined in abbreviations.txt
• Annotations are given in the file annotations.dat. In this file, the first column gives the name of the respective image file and the second column the morphological class assigned during the gold-standard annotation. If a single-cell image was re-annotated, the result of the first re-annotation process by a second independent annotator is given in the third column, and the result of the second re-annotation process after a time interval of 11 months by the same re-annotator in the fourth column. If a single-cell image was not re-annotated, the third and fourth column contain the value “nan”.
• For details of the scanning and annotation process, please refer to:
  • Matek et al., Human-level recognition of blast cells in acute myeloid leukemia with convolutional neural networks., Nat. Mach. Intell. (2019)

We would like to acknowledge the following individuals and institutions:

• The authors wish to thank Antje Holzäpfel for contributions to the annotation task.
• German Research Foundation, grant SFB 1243.
• Christian Matek gratefully acknowledges support from Deutsche José Carreras-Leukämie Stiftung.
  
  

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