title: Detection of intestinal parasites by use of the cuvette-based automated microscopy analyser sediMAX(®).
abstract: Microscopy is the reference method for intestinal parasite identification. The cuvette-based automated microscopy analyser, sediMAX 1, provides 15 digital images of each sediment sample. In this study, we have evaluated this fully automated instrument for detection of enteric parasites, helminths and protozoa. A total of 700 consecutively preserved samples consisting of 60 positive samples (50 protozoa, ten helminths) and 640 negative samples were analysed. Operators were blinded to each others' results. Samples were randomized and were tested both by manual microscopy and sediMAX 1 for parasite recognition. The sediMAX 1 analysis was conducted using a dilution of faecal samples, allowing determination of morphology. The data obtained using sediMAX 1 showed a specificity of 100% and a sensitivity of 100%. Some species of helminths, such as Enterobius vermicularis, Strongyloides stercolaris, the Ancylostoma duodenale/Necator americanus complex, and schistosomes were not considered in this work, because they are rare in stool specimens, are not easily detectable with microscopy analysis, and require specific recovery techniques. This study demonstrated for the first time that sediMAX 1 can be an aid in enteric parasite identification.
authors.affiliation: Department of Laboratory Medicine, University Milano Bicocca, Desio Hospital, Desio, Italy. Electronic address: jari.intra@unimi.it.
authors.forename: J
authors.initials: J
authors.lastname: Intra
authors.affiliation: Department of Laboratory Medicine, University Milano Bicocca, Desio Hospital, Desio, Italy.
authors.forename: E
authors.initials: E
authors.lastname: Taverna
authors.affiliation: Department of Laboratory Medicine, University Milano Bicocca, Desio Hospital, Desio, Italy.
authors.forename: M R
authors.initials: MR
authors.lastname: Sala
authors.affiliation: Department of Laboratory Medicine, University Milano Bicocca, Desio Hospital, Desio, Italy.
authors.forename: R
authors.initials: R
authors.lastname: Falbo
authors.affiliation: Department of Laboratory Medicine, University Milano Bicocca, Desio Hospital, Desio, Italy.
authors.forename: F
authors.initials: F
authors.lastname: Cappellini
authors.affiliation: Department of Laboratory Medicine, University Milano Bicocca, Desio Hospital, Desio, Italy.
authors.forename: P
authors.initials: P
authors.lastname: Brambilla
mesh_terms: D001331:Automation; D005243:Feces / Q000469:parasitology; D006801:Humans; D007411:Intestinal Diseases, Parasitic / Q000175:diagnosis* / Q000469:parasitology*; D008853:Microscopy / Q000295:instrumentation* / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
keywords: Digital images; enteric; helminths; identification; protozoa