Search published articles
Showing 2 results for Tarkhan
Volume 9, Issue 4 (Fall 2023)
Abstract
Aims: Hidden fungal infections may lead to errors in blood cell counts and inappropriate treatment selection with serious consequences in many patients. This study aimed to evaluate the results of two automated blood cell counters Sysmex-X 500 and KX-21 in samples containing Candida albicans and Candida glabrata.
Materials & Methods: In this study, 144 blood samples of O- blood type were examined in the presence and absence of C. glabrata and C. albicans fungi at different concentrations by two automated blood cell counters Sysmex-X 500 and KX-21 in Lorestan University of Medical Sciences in 2017. Fungal samples were prepared at a concentration of 0.5 McFarland, equally added to the blood samples, and read by Sysmex-X 500 and KX-21.
Findings: The average number of erythrocytes, leukocytes, and platelets read by Sysmex-X 500 and KX-21 devices increased in the presence of both fungal samples compared to the primary samples. In addition, the number of lymphocytes, neutrophils, and monocytes read by Sysmex-X 500 and KX-21 devices in the presence of fungal samples was significantly higher compared to the primary samples (p< .05). The increase in mean blood cell counts in the presence of both fungal samples was significantly higher in X 500 than in KX-21 (p< .05).
Conclusion: This study results showed that among these two devices, the Sysmex-X Series 500 device showed less variation compared to the actual values of blood cells. The use of this device seems to reduce measurement error in blood cell counting.
Volume 15, Issue 3 (5-2015)
Abstract
Processor memory capacity and update frequency are one of the main restricting constraints in star tracker design and development. In order to decrease the volume of the data required onboard, uniforming the star catalog which is eventually used as pattern recognition database is considered. Three different methods of uniforming the star catalog have been applied. Spherical patches, fixed slope curve and charged particles or Thomson’s problem. After generation of a sphere with uniform distribution of points, a star is assigned to each point according to its spherical distance or best magnitude. In order to evaluate the performance of each method, seven evaluation criteria are defined. Point distribution minimum energy, catalog size, minimum star required for pattern recognition, mean and standard deviation of star distribution in each frame, database size and pattern recognition true recognize percentage. These seven criteria are combined in weighted equation of “average” to choose the best star catalog uniforming method with respect to the star tracker mission. After having implemented the average equation it is demonstrated that uniforming the star catalog using charged particle or Thomson’s problem has better results.
