Academic literature on the topic 'Blood cell counting'

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Journal articles on the topic "Blood cell counting"

1

Piacentini, Niccolò, Danilo Demarchi, Pierluigi Civera, and Marco Knaflitz. "Microsystems for Blood Cell Counting." Advances in Science and Technology 57 (September 2008): 55–60. http://dx.doi.org/10.4028/www.scientific.net/ast.57.55.

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This paper presents two biomedical microsystems for blood cell counting, designed and built through MultiMEMS Multi-Project Wafer (MPW) service and the microBUILDER European project. Dies mm in size, made of a micromachined glass-silicon-glass triple stack, host two new kinds of multiple micro-counters, suitable to investigate the feasibility of blood cell differential analysis by means of Coulter principle in a monolithic lab-on-a-chip, which integrates a microfluidic network, sensing metal electrodes and light-guiding structures. Within these devices, impedance method gains some innovative f
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2

Schmidt, R. M. "Automated differential blood cell counting systems." Clinical & Laboratory Haematology 1, no. 2 (2008): 149–50. http://dx.doi.org/10.1111/j.1365-2257.1979.tb00463.x.

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3

Smith, Suzanne, Phophi Madzivhandila, René Sewart, et al. "Microfluidic Cartridges for Automated, Point-of-Care Blood Cell Counting." SLAS TECHNOLOGY: Translating Life Sciences Innovation 22, no. 2 (2016): 176–85. http://dx.doi.org/10.1177/2211068216677820.

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Disposable, low-cost microfluidic cartridges for automated blood cell counting applications are presented in this article. The need for point-of-care medical diagnostic tools is evident, particularly in low-resource and rural settings, and a full blood count is often the first step in patient diagnosis. Total white and red blood cell counts have been implemented toward a full blood count, using microfluidic cartridges with automated sample introduction and processing steps for visual microscopy cell counting to be performed. The functional steps within the microfluidic cartridge as well as the
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4

Lewis, S. M., J. M. England, and F. Kubota. "Coincidence correction in red blood cell counting." Physics in Medicine and Biology 34, no. 9 (1989): 1239–46. http://dx.doi.org/10.1088/0031-9155/34/9/009.

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5

Walberg, James. "White blood cell counting techniques in birds." Seminars in Avian and Exotic Pet Medicine 10, no. 2 (2001): 72–76. http://dx.doi.org/10.1053/saep.2001.22051.

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6

Fatichah, Chastine, Diana Purwitasari, Victor Hariadi, and Faried Effendy. "OVERLAPPING WHITE BLOOD CELL SEGMENTATION AND COUNTING ON MICROSCOPIC BLOOD CELL IMAGES." International Journal on Smart Sensing and Intelligent Systems 7, no. 3 (2014): 1271–86. http://dx.doi.org/10.21307/ijssis-2017-705.

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7

Chaturvedi, Shruti. "Counting the cost of caplacizumab." Blood 137, no. 7 (2021): 871–72. http://dx.doi.org/10.1182/blood.2020009250.

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8

James L, Sherley, Daley Michael P, and Dutton Renly A. "Validation of Kinetic Stem Cell (KSC) counting algorithms for rapid quantification of human hematopoietic stem cells." Journal of Stem Cell Therapy and Transplantation 6, no. 1 (2022): 029–37. http://dx.doi.org/10.29328/journal.jsctt.1001028.

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Specific quantification of therapeutic tissue stem cells (TSCs) is a major challenge. We recently described a computational simulation method for accurate and specific counting of TSCs. The method quantifies TSCs based on their unique asymmetric cell kinetics, which is rate-limiting for TSCs’ production of transiently-amplifying lineage-committed cells and terminally arrested cells during serial cell culture. Because of this basis, the new method is called kinetic stem cell (KSC) counting. Here, we report further validations of the specificity and clinical utility of KSC counting. First, we de
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9

H. Al-khafaji, Kawther, and Athraa H. Al-khafaji. "Diagnoses of Blood Disorder in Different Animal Species Depending on Counting Methods in Blood Cell Images." International Journal of Engineering & Technology 7, no. 4.36 (2018): 660. http://dx.doi.org/10.14419/ijet.v7i4.36.24218.

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Counting of red blood cells (RBCs) in microscope blood cell images, can give the pathologists valuable information regarding various hematological disorders, like anemia, leukemia,....etc. in several animal species, in this paper, an automated vision system has been developed which is capable of counting of red blood cells, in blood samples by applying different algorithms, based on red blood cellshape, the difference in the red blood cell shape of animal species make it difficult to use a one algorithm, therefore, for each animal species used specific algorithm which was capable of counting o
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10

MATSUNO, K., and 美恵 森本. "Peripheral Blood Cell Counting by Automated Hematology Analyzer." JAPANES JOURNAL OF MEDICAL INSTRUMENTATION 69, no. 1 (1999): 25–29. http://dx.doi.org/10.4286/ikakikaigaku.69.1_25.

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