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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)

Bottom Line: The obtained results are compared with standardized manual analysis.Automated rosetting analyzer for micrographs analyses 25 cell objects per second reliably delivering identical results compared to manual analysis.The second, non-malaria specific, analysis mode of ARAM offers the functionality to detect arbitrary objects.

View Article: PubMed Central - PubMed

Affiliation: Experimental Physics I, University of Augsburg, Universitätsstraße 1, Augsburg, Germany.

No MeSH data available.


Related in: MedlinePlus

Sample size dependency. Left determined parasitaemia and right determined rosetting rate for randomly chosen sets of micrographs
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Fig6: Sample size dependency. Left determined parasitaemia and right determined rosetting rate for randomly chosen sets of micrographs

Mentions: Above the necessity of utilizing a statistical error is described. In Fig. 6 the impact of sample size on the results is exemplarily demonstrated. On the x-axis the count of analysed RBC is shown. The groups of measurement values correspond to the amount of RBC found on 5, 10, 20, 50 and 100 images. Obviously the width of the confidence interval and hence the statistical uncertainty of the experiment is reduced with increasing sample size for parasitaemia as well as rosetting rate. Especially for rare effects this dependency will be much more pronounced. With ARAM it is possible to gather such very rare effects, as it can realize a statistically significant amount of measurements with the necessary uniformity. Otherwise these effects can be simply rare or hidden in the measurement uncertainties. In order to get reliable conclusions, the amount of analysed RBC or images has to be large enough that rare effects are analysed in sufficient extend. ARAM offers the option to calculate the amount of images for desired confidence probabilities and width of confidence intervals from measured rosetting rate, number of analysed rosette objects and images. Assuming e.g. a value of interest v = 0.01 one would need 270 measurements to get ε = 0.01. And to get a reliable result with ε = 0.0023 a minimum of 5000 images has to be analysed.Fig. 6


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)

Sample size dependency. Left determined parasitaemia and right determined rosetting rate for randomly chosen sets of micrographs
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4835829&req=5

Fig6: Sample size dependency. Left determined parasitaemia and right determined rosetting rate for randomly chosen sets of micrographs
Mentions: Above the necessity of utilizing a statistical error is described. In Fig. 6 the impact of sample size on the results is exemplarily demonstrated. On the x-axis the count of analysed RBC is shown. The groups of measurement values correspond to the amount of RBC found on 5, 10, 20, 50 and 100 images. Obviously the width of the confidence interval and hence the statistical uncertainty of the experiment is reduced with increasing sample size for parasitaemia as well as rosetting rate. Especially for rare effects this dependency will be much more pronounced. With ARAM it is possible to gather such very rare effects, as it can realize a statistically significant amount of measurements with the necessary uniformity. Otherwise these effects can be simply rare or hidden in the measurement uncertainties. In order to get reliable conclusions, the amount of analysed RBC or images has to be large enough that rare effects are analysed in sufficient extend. ARAM offers the option to calculate the amount of images for desired confidence probabilities and width of confidence intervals from measured rosetting rate, number of analysed rosette objects and images. Assuming e.g. a value of interest v = 0.01 one would need 270 measurements to get ε = 0.01. And to get a reliable result with ε = 0.0023 a minimum of 5000 images has to be analysed.Fig. 6

Bottom Line: The obtained results are compared with standardized manual analysis.Automated rosetting analyzer for micrographs analyses 25 cell objects per second reliably delivering identical results compared to manual analysis.The second, non-malaria specific, analysis mode of ARAM offers the functionality to detect arbitrary objects.

View Article: PubMed Central - PubMed

Affiliation: Experimental Physics I, University of Augsburg, Universitätsstraße 1, Augsburg, Germany.

No MeSH data available.


Related in: MedlinePlus