Gitonga, L., Memeu, D.M., Kaduki, K.A., Kale, M.A.C. and Muriuki, N.S. (2014) Determination of Plasmodium Parasite Life Stages and Species in Images of Thin Blood Smears Using Artificial Neural Network. Open Journal of Clinical Diagnostics, 4, 78-88.
https://doi.org/10.4236/ojcd.2014.42014

has been cited by the following article:

• TITLE: Review of Photoacoustic Malaria Diagnostic Techniques

  AUTHORS: Daniel Maitethia Memeu, Abdallah Merenga Sallorey, Ciira Maina, Dickson Mwenda Kinyua

  KEYWORDS: Plasmodium parasites, In Vivo, Chromophores, Hemoglobin, Hemozoin, Spectroscopic Inversion, Time Domain and Frequency Domain Photoacoustics

  JOURNAL NAME: Open Journal of Clinical Diagnostics, Vol.11 No.2, June 29, 2021

  ABSTRACT: Malaria is one of the leading causes of mortality and morbidity in developing countries. Accurate and complete diagnosis is key for effective treatment of the disease. However, mainstream malaria diagnostic techniques suffer from a number of shortcomings. There is therefore an urgent need for development of new and more efficient techniques for malaria diagnosis. In vivo Photoacoustic spectroscopy is an emerging technique, which has great potential of delivering a nearly ideal method for early diagnosis of the disease. The technique promises to be highly sensitive and specific. In this paper, a description of photoacoustic malaria sensing is given. This is followed by a review of photoacoustic-based malaria diagnostic techniques and suggestions for future improvements.