Das et. al., 2015 Image Dataset
Article Title: Automated system for characterization and classification of malaria-infected stages using light microscopic images of thin blood smears
Article Link: ref
Description
This is a thin, Leishman-stained blood smear image dataset.
Demography
- Country: India
- City: West Bengal
- Study Area: Midnapur Medical College and Hospital and Medipath Laboratory, Midnapur, West Bengal, India
- Number of Patients: 150 patients
- Uninfected: 100 patients
- Infected: 50 patients
- Parasite’s species: Plasmodium vivax and Plasmodium falciparum
Imaging Technique
- Optical Train: Microscope
- Microscope Type: Leica (DM750) microscope
- Magnification: 100×
- Number of Images: 750 images
Dataset Availability
| Corresponding Author | DOI |
|---|---|
| C. CHAKRABORTY (chandanc@smst.iitkgp.ernet.in) | https://doi.org/10.1111/jmi.12206 |
Cite this Article
❗🛑 If you are using this resource, please cite:
Das DK, Maiti AK, Chakraborty C. Automated system for characterization and classification of malaria-infected stages using light microscopic images of thin blood smears. J Microsc. 2015 Mar;257(3):238-52. doi: 10.1111/jmi.12206. Epub 2014 Dec 18. PMID: 25523795.