Info: Zenodo’s user support line is staffed on regular business days between Dec 23 and Jan 5. Response times may be slightly longer than normal.

There is a newer version of the record available.

Published April 5, 2023 | Version v2
Dataset Open

Red Blood Cell RedTell Dataset

  • 1. Red Blood Cell Research Group, Institute of Veterinary Physiology, Vetsuisse Faculty and the Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
  • 2. Department of Medical Hematology, University Hospital Zurich, Zürich Switzerland
  • 3. Department of Medical Hematology, University Hospital Zurich, Zürich Switzerland; Division of Medical Oncology and Hematology, Cantonal Hospital Winterthur, Winterthur Switzerland
  • 4. Department of Clinical Chemistry and Hematology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
  • 5. Rare Anemia Research Unit. Vall d'Hebron Research Institution, University Hospital Vall d'Hebron, Barcelona, Spain
  • 6. Institute of AI for Health, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Chair for Computer Aided Medical Procedures & Augmented Reality, Department of Informatics, Technical University of Munich, Garching, Germany
  • 7. Theoretical Medicine and Biosciences, Saarland University, Homburg, Germany; Experimental Physics, Saarland University, Saarbrücken, Germany

Description

The dataset contains microscopic images of red blood cells (RBCs) and consists of two parts:

1. dse_data.zip

This dataset includes brightfield images of healthy control individuals obtained in the scope of the CoMMiTMenT study. The images are annotated on a single cell level for segmentation and classification (discocyte-stomatocyte-echinocyte sequence) purposes. 

2. anemia_data.zip

This dataset includes brightfield and fluorescent images of RBCs of sickle cell disease (SCD) patients from the MemSID study as well as of thalassemia patients and healthy controls from the CoMMiTMenT study.

The CoMMiTMenT study was funded by the European Seventh Framework Program under grant agreement number 602121 (CoMMiTMenT) and from the European Union’s FP7 Programme. The study protocols were approved by the Medical Ethical Research Board of the University Medical Center Utrecht, the Netherlands, under reference code 15/426M and by the Ethical Committee of Clinical Investigations of Hospital Clinic, Spain (IDIBAPS) under reference code 2013/8436. The MemSID study was performed at the University hospital Zurich (#NCT02615847 at https://clinicaltrials.gov/). The trial protocol was approved by the Ethics committee of Canton Zurich (KEK-ZH 2015-0297).

Files

anemia_data.zip

Files (85.6 MB)

Name Size Download all
md5:a1fcef82c19fe34756ff46904db08940
22.7 MB Preview Download
md5:f3756c3557a2f42421fb1713558695ca
63.0 MB Preview Download

Additional details

References

  • Mahkro, Asya et al. "A pilot clinical phase II trial MemSID: Acute and durable changes of red blood cells of sickle cell disease patients on memantine treatment." EJHaem vol. 1,1 23-34. 20 May. 2020, doi:10.1002/jha2.11
  • Rick Huisjes, Asya Makhro, Esther Llaudet-Planas, Laura Hertz, Polina Petkova-Kirova, Liesbeth P. Verhagen, Silvia Pignatelli, Minke A.E. Rab, Raymond M. Schiffelers, Elena Seiler, Wouter W. van Solinge, Joan-LLuis Vives Corrons, Lars Kaestner, Maria Mañú-Pereira, Anna Bogdanova and Richard van Wijk (2020) "Density, heterogeneity and deformability of red cells as markers of clinical severity in hereditary spherocytosis", Haematologica. Pavia, Italy, 105(2), pp. 338-347. doi: 10.3324/haematol.2018.188151.
  • Petkova-Kirova P, Hertz L, Danielczok J, Huisjes R, Makhro A, Bogdanova A, Mañú-Pereira MdM, Vives Corrons J-L, van Wijk R and Kaestner L (2019) Red Blood Cell Membrane Conductance in Hereditary Haemolytic Anaemias. Front. Physiol. 10:386. doi: 10.3389/fphys.2019.00386