Body fluid analysis in the hematology laboratory

Butina, Michelle

doi:10.1016/b978-0-323-53045-3.00024-6

Cited by 1 publication

(1 citation statement)

References 11 publications

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“…Cell concentration in tissues and fluids constitutes a metric of primary importance to assess the health state of living organisms. While the measurement of the cell population in blood is the most common concentration assessment performed in the clinical practice, cell concentration evaluation in other fluids such as urine and serous fluids also provide information about relevant pathologies, as it is the case for infections (for example, meningitis [ 1 , 2 ]), cancer [ 2 , 3 ], and internal hemorrhages [ 2 ]. Usually, the estimation of cell concentration is made ex vivo; however, recently, non-invasive methodologies such as confocal microscopy and optical coherence are attracting interest for their advantages as rapid and innocuous tools able to perform this task in vivo [ 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Cell Concentration in Suspensions of Human Leukocytes by Ultrasound Imaging: The Influence of Size Dispersion and Cell Type

Elvira

Fernández

León

et al. 2023

Sensors

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This work focuses on the use of ultrasound imaging to evaluate the cell concentration of dilute leukocyte suspensions in the range of 10–3000 cells/µL. First, numerical simulations were used to study the influence of the size dispersion and the leukocyte type on the performance of the concentration estimation algorithms, which were developed in previous works assuming single-sized scatterers. From this analysis, corrections to the mentioned algorithms were proposed and then the performance of these corrections was evaluated from experiments. For this, ultrasound images were captured from suspensions of lymphocytes, granulocytes, and their mixtures. These images were obtained using a 20 MHz single-channel scanning system. Results confirmed that concentration estimates provided by conventional algorithms were affected by the size dispersion of cells, leading to a remarkable underestimation of results. The proposed correction to compensate for cell size dispersion obtained from simulations improved the concentration estimation of these algorithms, for the cell suspensions tested, approaching the results to the reference optical characterization. Moreover, it was shown that these models provided a total leukocyte concentration from the ultrasound images which was independent of the relative populations of different white blood cell types.

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