No abstract available.
Leukocytes*

No abstract available.
Leukocytes*

No abstract available.
Leukocytes*

No abstract available.
Humans ; Leukocytes*

A small proportion of cases of chronic granuloid leukemia is associated with an extraordinary concentration of leukocytes in the blood. As a result of the hyperleukocytic syndrome, these cases present special problems and complication that may seriously affect on patients’ life and the quality of life to the physicians. Leukapheresis is an effective method of therapy in these cases which can reverse the hyperleukocytic syndrome rapidly and decrease the tumor cell mass so as to minimize the extent of chemotherapeutic-induced cytolysis and the cytolysis- induced complications.
Leukemia ; Leukocytes

No abstract available.
Humans ; Leukocytes

No abstract available.
Humans ; Leukocytes

The count and recognition of white blood cells in blood smear images play an important role in the diagnosis of blood diseases including leukemia. Traditional manual test results are easily disturbed by many factors. It is necessary to develop an automatic leukocyte analysis system to provide doctors with auxiliary diagnosis, and blood leukocyte segmentation is the basis of automatic analysis. In this paper, we improved the U-Net model and proposed a segmentation algorithm of leukocyte image based on dual path and atrous spatial pyramid pooling. Firstly, the dual path network was introduced into the feature encoder to extract multi-scale leukocyte features, and the atrous spatial pyramid pooling was used to enhance the feature extraction ability of the network. Then the feature decoder composed of convolution and deconvolution was used to restore the segmented target to the original image size to realize the pixel level segmentation of blood leukocytes. Finally, qualitative and quantitative experiments were carried out on three leukocyte data sets to verify the effectiveness of the algorithm. The results showed that compared with other representative algorithms, the proposed blood leukocyte segmentation algorithm had better segmentation results, and the mIoU value could reach more than 0.97. It is hoped that the method could be conducive to the automatic auxiliary diagnosis of blood diseases in the future.
Algorithms ; Leukocytes

BACKGROUND: The ComboStick Reader 720(R)(DFI Co., Ltd. Korda) is a newly developed automated urine analyzer. The objective of this analysis was to evaluate the analytical performance of the Combostick Reader 720 and ComboStick 10 reagent strips and to compare the results using the Uriscan Pro II and Uriscan Gen 10 SGL strips (YD Diagnostics, Korea). METHODS: The Dipstick urinalyses were performed on a ComboStick Reader 720(R) using ComboStick 10 strips and on a Uriscan Pro II(R) using Uriscan 10 SGL strips. Precision was evaluated with commercial control materials. The sets of results were analyzed for concordance with weighted kappa values or intraclass correlation coefficients (ICCs). The microscopic urine analysis was carried out to confirm the results from both automated urine analyzers. Agreement between the dipstick methods and the microscopic method was evaluated by kappa values and the McNemar test. RESULTS: Within and between-run precisions of the ComboStick Reader 720(R) were 90.0% to 100%. A comparison of results from 1,700 urine samples using the ComboStick Reader 720(R) and Uriscan Pro II(R) revealed a very high concordance rate of > or = 91.0% on consideration of neighboring blocks for all analytes of the dipstick urinalysis. There was a good association between the microscopic method and the dipstick methods of the two automated urine analyzers. The ComboStick Reader 720(R) revealed a statistically higher degree of agreement for leukocytes. CONCLUSIONS: The ComboStick Reader 720(R) and ComboStick 10 strips showed good precisions and revealed a statistically significant agreement with the Uriscan Pro II(R) and Uriscan 10 SGL strips. For leukocytes, the ComboStick Reader 720(R) was superior to the Uriscan Pro II(R) in comparing the agreement between the microscopic and dipstick methods. The overall performance of the ComboStick Reader 720(R) and ComboStick 10 strips were satisfactory.
Leukocytes ; Reagent Strips ; Urinalysis

No abstract available.
Blood Platelets* ; Leukocytes* ; Plateletpheresis*