Quinn et al., 2014 Image Dataset
Article Title: Automated Blood Smear Analysis for Mobile Malaria Diagnosis
Article Link: ref
Description
It is a thick, Field-stained blood smear image dataset
Demography
- Country: Uganda
- City: Kampala
- Study Area: Makerere AI Lab, Makerere University.
- Number of patients: 133 patients
- Parasite’s species: Plasmodium falciparum
Imaging Technique
- Optical Train: Microscope and camera
- Microscope Type: Brunel SP150 microscope
- Magnification: 100×
- Resolution: 1024 × 768
- Number of Images: 2703
Image Preview
Thick Blood Smear (P. falciparum)
Dataset Availability
| Status | Dataset Link | DOI |
|---|---|---|
| Publicly Available | Dataset | 10.1201/9781315215723-10 |
Cite this article
❗🛑 If you are using this resource, please cite:
Quinn, J. A., Andama, A., Munabi, I., & Kiwanuka, F. N. (2014). Automated blood smear analysis for mobile malaria diagnosis. Mobile Point-of-Care Monitors and Diagnostic Device Design, October, 115–132. https://doi.org/10.1201/9781315215723-10