180 related articles for article (PubMed ID: 29661200)
1. Application of the automated haematology analyzer XN-30 in an experimental rodent model of malaria.
Tougan T; Suzuki Y; Izuka M; Aono K; Okazaki T; Toya Y; Uchihashi K; Horii T
Malar J; 2018 Apr; 17(1):165. PubMed ID: 29661200
[TBL] [Abstract][Full Text] [Related]
2. An automated haematology analyzer XN-30 distinguishes developmental stages of falciparum malaria parasite cultured in vitro.
Tougan T; Suzuki Y; Itagaki S; Izuka M; Toya Y; Uchihashi K; Horii T
Malar J; 2018 Feb; 17(1):59. PubMed ID: 29391022
[TBL] [Abstract][Full Text] [Related]
3. Evaluation of automated malaria diagnosis using the Sysmex XN-30 analyser in a clinical setting.
Pillay E; Khodaiji S; Bezuidenhout BC; Litshie M; Coetzer TL
Malar J; 2019 Jan; 18(1):15. PubMed ID: 30670023
[TBL] [Abstract][Full Text] [Related]
4. Application of the automated haematology analyzer XN-30 for discovery and development of anti-malarial drugs.
Tougan T; Toya Y; Uchihashi K; Horii T
Malar J; 2019 Jan; 18(1):8. PubMed ID: 30642330
[TBL] [Abstract][Full Text] [Related]
5. Clinical performance testing of the automated haematology analyzer XN-31 prototype using whole blood samples from patients with imported malaria in Japan.
Komaki-Yasuda K; Kutsuna S; Kawaguchi M; Kamei M; Uchihashi K; Nakamura K; Nakamoto T; Ohmagari N; Kano S
Malar J; 2022 Jul; 21(1):229. PubMed ID: 35907857
[TBL] [Abstract][Full Text] [Related]
6. The XN-30 hematology analyzer for rapid sensitive detection of malaria: a diagnostic accuracy study.
Post A; Kaboré B; Reuling IJ; Bognini J; van der Heijden W; Diallo S; Lompo P; Kam B; Herssens N; Lanke K; Bousema T; Sauerwein RW; Tinto H; Jacobs J; de Mast Q; van der Ven AJ
BMC Med; 2019 May; 17(1):103. PubMed ID: 31146732
[TBL] [Abstract][Full Text] [Related]
7. Fast detection and quantification of Plasmodium species infected erythrocytes in a non-endemic region by using the Sysmex XN-31 analyzer.
Khartabil TA; de Rijke YB; Koelewijn R; van Hellemond JJ; Russcher H
Malar J; 2022 Apr; 21(1):119. PubMed ID: 35410230
[TBL] [Abstract][Full Text] [Related]
8. Lysercell M enhances the detection of stage-specific Plasmodium-infected red blood cells in the automated hematology analyzer XN-31 prototype.
Toya Y; Tougan T; Horii T; Uchihashi K
Parasitol Int; 2021 Feb; 80():102206. PubMed ID: 33049417
[TBL] [Abstract][Full Text] [Related]
9. Implementation of a red blood cell-optical (RBO) channel for detection of latent iron deficiency anaemia by automated measurement of autofluorescence-emitting red blood cells.
Tougan T; Itagaki S; Toya Y; Uchihashi K; Horii T
Sci Rep; 2020 Sep; 10(1):15605. PubMed ID: 32973246
[TBL] [Abstract][Full Text] [Related]
10. ARAM: an automated image analysis software to determine rosetting parameters and parasitaemia in Plasmodium samples.
Kudella PW; Moll K; Wahlgren M; Wixforth A; Westerhausen C
Malar J; 2016 Apr; 15():223. PubMed ID: 27090910
[TBL] [Abstract][Full Text] [Related]
11. Potential application of the haematology analyser XN-31 prototype for field malaria surveillance in Kenya.
Kagaya W; Takehara I; Kurihara K; Maina M; Chan CW; Okomo G; Kongere J; Gitaka J; Kaneko A
Malar J; 2022 Sep; 21(1):252. PubMed ID: 36050757
[TBL] [Abstract][Full Text] [Related]
12. In vivo photoacoustic flow cytometry for early malaria diagnosis.
Cai C; Carey KA; Nedosekin DA; Menyaev YA; Sarimollaoglu M; Galanzha EI; Stumhofer JS; Zharov VP
Cytometry A; 2016 Jun; 89(6):531-42. PubMed ID: 27078044
[TBL] [Abstract][Full Text] [Related]
13. Development of a highly sensitive, quantitative, and rapid detection system for Plasmodium falciparum-infected red blood cells using a fluorescent blue-ray optical system.
Yamamoto T; Yatsushiro S; Hashimoto M; Kajimoto K; Ido Y; Abe K; Sofue Y; Nogami T; Hayashi T; Nagatomi K; Minakawa N; Oka H; Mita T; Kataoka M
Biosens Bioelectron; 2019 May; 132():375-381. PubMed ID: 30901727
[TBL] [Abstract][Full Text] [Related]
14. Automated measurement of malaria parasitaemia among asymptomatic blood donors in Malawi using the Sysmex XN-31 analyser: could such data be used to complement national malaria surveillance in real time?
Kayange M; M'baya B; Hwandih T; Saker J; Coetzer TL; Münster M
Malar J; 2022 Oct; 21(1):299. PubMed ID: 36284305
[TBL] [Abstract][Full Text] [Related]
15. Isolation of erythrocytes infected with viable early stages of Plasmodium falciparum by flow cytometry.
Philipp S; Oberg HH; Janssen O; Leippe M; Gelhaus C
Cytometry A; 2012 Dec; 81(12):1048-54. PubMed ID: 23136095
[TBL] [Abstract][Full Text] [Related]
16. In vivo assessment of rodent Plasmodium parasitemia and merozoite invasion by flow cytometry.
Lelliott PM; McMorran BJ; Foote SJ; Burgio G
J Vis Exp; 2015 Apr; (98):e52736. PubMed ID: 25867202
[TBL] [Abstract][Full Text] [Related]
17. Automated
Dumas C; Bienvenu AL; Girard S; Picot S; Debize G; Durand B
J Clin Pathol; 2018 Jul; 71(7):594-599. PubMed ID: 29298814
[TBL] [Abstract][Full Text] [Related]
18. Inter-rater reliability of malaria parasite counts and comparison of methods.
Bowers KM; Bell D; Chiodini PL; Barnwell J; Incardona S; Yen S; Luchavez J; Watt H
Malar J; 2009 Nov; 8():267. PubMed ID: 19939271
[TBL] [Abstract][Full Text] [Related]
19. Haemoglobin interference and increased sensitivity of fluorimetric assays for quantification of low-parasitaemia Plasmodium infected erythrocytes.
Moneriz C; Marín-García P; Bautista JM; Diez A; Puyet A
Malar J; 2009 Dec; 8():279. PubMed ID: 19961586
[TBL] [Abstract][Full Text] [Related]
20. A flow cytometric assay to quantify invasion of red blood cells by rodent Plasmodium parasites in vivo.
Lelliott PM; Lampkin S; McMorran BJ; Foote SJ; Burgio G
Malar J; 2014 Mar; 13():100. PubMed ID: 24628989
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]