HemataStat II® Microhematocrit Centrifuge from EKF Diagnostics

Product Detail
ItemHemataStat II® Microhematocrit Centrifuge
CompanyEKF Diagnostics
PriceGet Quote
Catalog Number100-100 / 100-101
Accuracy+/- 0.5%
TypeMicrohematocrit centrifuge
ThroughputUp to six blood samples
Sample TypeVenous or capillary blood
CapacitySix samples
Dimensions(WxDxH) 177 x 279 x 127 mm
Speed Range1,548 - 2,312 RPM

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EKF Diagnostics

Avon House, 19 Stanwell Road

Penarth, Cardiff CF64 2EZ

United Kingdom

Phone: +44 (0)29 20 710570
Fax: +44 (0)29 20 705715

Email: [email protected]

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Website: www.ekfdiagnostics.com

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(1) Pharmacokinetic Model-Based Control across the Blood–Brain Barrier for Circadian EntrainmentInternational Journal of Molecular SciencesOctober 2, 2023Síofra Ó. Murdoch, Eleonora M. Aiello, Francis J. Doylemeasurement noise covariance REKF and process covariance matrix QEKF have been set as follows:REKF=diag(100,100),QEKF=diag(0,0,0,0.0001)The parameter Vb was initialized based on the recorded ratio between the AUC

(2) Estimating SE(3) elements using a dual quaternion based linear Kalman filterRobotics: Science and Systems XIIMay 24, 2023Rangaprasad Arun Srivatsan, Gillian T. Rosen, D. Feroze Naina Mohamed, Howie Chosetaxis (mm) DQF EKF UKF DQF EKF UKF 0 20 20 40 40 60 60 80 80 Number ofpoints points Number of 100 100 Fig. 3. (a) Initial position and estimated position of 100 points with added noise are shown against

(3) A Systematic Solution for Moving-Target Detection and Tracking While Only Using a Monocular CameraSensors (Basel)May 18, 2023Shun Wang, Sheng Xu, Zhihao Ma, Dashuai Wang, Weimin Li[300,400,−800,2,4,6]T. The initial states are [X0=[320,420,−820,2.1,3.8,6.3]T], Rk=diag[1,1] and P0=diag[100,100,100,100,100,100] for both Kalman filters. The sampling time was reset to 0.15 s, and the total running

(4) Filtering in hybrid dynamic Bayesian networks2004 IEEE International Conference on Acoustics, Speech, and Signal ProcessingOctober 10, 2022M.N. Andersen, R.O. Andersen, K. Wheelernetwork (dark bars) using the generic PF, EKF and UKF resp. 0.7 0.6 RMSE using PFUKF 0.3 150 150 100 100 RMSE 0.4 RMSE Weight RMSE using UKF 0.5 50 0 0.4 0.2 0.2 0.1 meas. noise 2 3 4 5 6 7 Particle

(5) State Estimation of Gas-Lifted Oil Well Using Nonlinear FiltersSensors (Basel)June 28, 2022Ojonugwa Adukwu, Darci Odloak, Amir Muhammed Saad, Fuad Kassab JuniorEKF on x1 (mass of gas in annulus). Figure 7 shows the true and estimated states for R = [10 10 4], [100 100 40] and [1000 1000 400] respectively. Figure 7 shows that there is no significant difference in the

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