Ontology highlight
ABSTRACT:
SUBMITTER: Yamamoto T
PROVIDER: S-EPMC7171072 | biostudies-literature | 2020 Apr
REPOSITORIES: biostudies-literature
Yamamoto Takeki T Hashimoto Muneaki M Nagatomi Kenji K Nogami Takahiro T Sofue Yasuyuki Y Hayashi Takuya T Ido Yusuke Y Yatsushiro Shouki S Abe Kaori K Kajimoto Kazuaki K Tamari Noriko N Awuor Beatrice B Sonye George G Kongere James J Munga Stephen S Ohashi Jun J Oka Hiroaki H Minakawa Noboru N Kataoka Masatoshi M Mita Toshihiro T
Scientific reports 20200420 1
There is an urgent need to develop an automated malaria diagnostic system that can easily and rapidly detect malaria parasites and determine the proportion of malaria-infected erythrocytes in the clinical blood samples. In this study, we developed a quantitative, mobile, and fully automated malaria diagnostic system equipped with an on-disc SiO<sub>2</sub> nanofiber filter and blue-ray devices. The filter removes the leukocytes and platelets from the blood samples, which interfere with the accur ...[more]