Performance of digital morphology analyzer Vision Pro on white blood cell differentials

Objectives Vision Pro (West Medica, Perchtoldsdorf, Austria) is a recently developed digital morphology analyzer. We evaluated the performance of Vision Pro on white blood cell (WBC) differentials. Methods In a total of 200 peripheral blood smear samples (100 normal and 100 abnormal samples), WBC preclassification and reclassification by Vision Pro were evaluated and compared with manual WBC count, according to the Clinical and Laboratory Standards Institute guidelines (H20-A2). Results The overall sensitivity was high for normal WBCs and nRBCs (80.1–98.0%). The overall specificity and overall efficiency were high for all cell classes (98.1–100.0% and 97.7–99.9%, respectively). The absolute values of mean differences between Vision Pro and manual count ranged from 0.01 to 1.31. In leukopenic samples, those values ranged from 0.09 to 2.01. For normal WBCs, Vision Pro preclassification and manual count showed moderate or high correlations (r=0.52–0.88) except for basophils (r=0.34); after reclassification, the correlation between Vision Pro and manual count was improved (r=0.36–0.90). Conclusions This is the first study that evaluated the performance of Vision Pro on WBC differentials. Vision Pro showed reliable analytical performance on WBC differentials with improvement after reclassification. Vision Pro could help improve laboratory workflow.

Analysis of Transmission Tower using Stadd Pro

Present days there are a lot of interest for power in the private and open parts in India has been expanded and to full fill, the interest of power a few activities is being taken by the legislature of India. From the source power to the customer the transmission tower is utilized as a transport framework. Right now, endeavor has been made to investigation a 36 m high transmission tower 3D model with the assistance of STAAD Pro (V8i) programming utilizing the codal arrangements of IS 800:2007 and furthermore the manual count of every part are determined for the examination as per codal arrangements.As per IS 875 (part III) code, the wind zone 3 height 36 m, landscape classification 2 and fundamental wind speed 39 m/sec are considered for the analysis. The damping ratio is 0.05 is also considered in the analysis. The results are concluded in terms of stability against wind force, structural, statically stable of all steel components.

Comparison of automated flowcytometric reticulocyte analysis with manual reticulocyte count

Background: Reticulocytes are young or immature red blood cells released from bone marrow and that contain remanants of ribonucleic acid (RNA) and ribosomes. Reticulocyte count (RC) is the index of erythropoietic activity within bone marrow. The reticulocyte counting methods at clinical laboratories are currently divided into manual and automated.Methods: A total of 500 samples of study cases were processed by manual method using New Methylene Blue (NMB) and automated method based on flowcytometry by PENTRA XLR HORIBA hematology analyzer. All quality control parameters were evaluated and values obtained by both methods were compared using various statistical methods.Results: Automated hematology analyzer provides excellent precision and linearity with no significant carryover. On comparing manual and automated RC method good method correlation was found (correlation coefficient r-0.865), however individual case wise percent deviation between manual and automated RC and CRC varied significantly. In addition within run precision calculated for automated RC differed significantly from manual count. The mean of difference between duplicate readings (150 samples) of manual and automated RC (<5%) were 0.3 and 0.01 respectively while 6.3 and 0.15 respectively for >5% RC. Thus, automated method was found to be more precise than the manual RC.Conclusions: The manual count method for RC associated with significant imprecision compared to flowcytometric method mostly based on interobserver variation and the smaller number of cell being counted. In contrast, the automated method is rapid, easy to operate, count higher number of cells with precise measurement.

Penerapan Pathfinding Menggunakan Algoritma A* Pada Non Player Character (NPC) Di Game

In this Game , we implement a character designer at the enemy by applying the algorithm A * pathfinding Algorithm. Furthermore, A * is as the algorithm for searching solutions with the use of additional information (heuristics) in which it is an optimal solution. The purpose of developing this Adventure Game is A * Algorithm implementation for Pathfinding using Unity 3D. Pathfinding is the fastest path of searching process from point of origin to point of destination by avoiding the various barriers along the path traveled without crashing the existing barrier along the way. Its design and development applies Unity 3D. The test result of algorithm in the Game shows that the total of passed node result is 50 nodes. It is similar with the previous manual count result. Furthermore, the Game route shows that its passed path is similar with manual count.

Validation of a Cytotechnologist Manual Counting Service for the Ki67 Index in Neuroendocrine Tumors of the Pancreas and Gastrointestinal Tract

Context.— Pathologists routinely assess Ki67 immunohistochemistry to grade gastrointestinal and pancreatic neuroendocrine tumors. Unfortunately, manual counts of the Ki67 index are very time consuming and eyeball estimation has been criticized as unreliable. Manual Ki67 counts performed by cytotechnologists could potentially save pathologist time and improve accuracy. Objective.— To assess the concordance between manual Ki67 index counts performed by cytotechnologists versus eyeball estimates and manual Ki67 counts by pathologists. Design.— One Ki67 immunohistochemical stain was retrieved from each of 18 archived gastrointestinal or pancreatic neuroendocrine tumor resections. We compared pathologists' Ki67 eyeball estimates on glass slides and printed color images with manual counts performed by 3 cytotechnologists and gold standard manual Ki67 index counts by 3 pathologists. Results.— Tumor grade agreement between pathologist image eyeball estimate and gold standard pathologist manual count was fair (κ = 0.31; 95% CI, 0.030–0.60). In 9 of 20 cases (45%), the mean pathologist eyeball estimate was 1 grade higher than the mean pathologist manual count. There was almost perfect agreement in classifying tumor grade between the mean cytotechnologist manual count and the mean pathologist manual count (κ = 0.910; 95% CI, 0.697–1.00). In 20 cases, there was only 1 grade disagreement between the 2 methods. Eyeball estimation by pathologists required less than 1 minute, whereas manual counts by pathologists required a mean of 17 minutes per case. Conclusions.— Eyeball estimation of the Ki67 index has a high rate of tumor grade misclassification compared with manual counting. Cytotechnologist manual counts are accurate and save pathologist time.

Performance of automated digital cell imaging analyzer Sysmex DI-60

Background:The Sysmex DI-60 system (DI-60, Sysmex, Kobe, Japan) is a new automated digital cell imaging analyzer. We explored the performance of DI-60 in comparison with Sysmex XN analyzer (XN, Sysmex) and manual count.Methods:In a total of 276 samples (176 abnormal and 100 normal samples), white blood cell (WBC) differentials, red blood cell (RBC) classification and platelet (PLT) estimation by DI-60 were compared with the results by XN and/or manual count. RBC morphology between pre-classification and verification was compared according to the ICSH grading criteria. The manual count was performed according to the Clinical and Laboratory Standards Institute guidelines (H20-A2).Results:The overall concordance between DI-60 and manual count for WBCs was 86.0%. The agreement between DI-60 pre-classification and verification was excellent (weighted κ=0.963) for WBC five-part differentials. The correlation with manual count was very strong for neutrophils (r=0.955), lymphocytes (r=0.871), immature granulocytes (r=0.820), and blasts (r=0.879). RBC grading showed notable differences between DI-60 and manual counting on the basis of the ICSH grading criteria. Platelet count by DI-60 highly correlated with that by XN (r=0.945). However, DI-60 underestimated platelet counts in samples with marked thrombocytosis.Conclusions:The performance of DI-60 for WBC differential, RBC classification, and platelet estimation seems to be acceptable even in abnormal samples with improvement after verification. DI-60 would help optimize the workflow in hematology laboratory with reduced manual workload.