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Related Concept Videos

Interpreting R Charts01:22

Interpreting R Charts

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R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
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Leukocyte disorders can lead to either leukopenia, characterized by an abnormally low leukocyte count, or leukocytosis, marked by a very high leukocyte number.
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Leukocytes are classified into two groups based on the presence or absence of cytoplasmic granules. Granular leukocytes, which contain granules, belong to the myeloid lineage and are divided into three subtypes: neutrophils, eosinophils, and basophils. These cells are roughly spherical and characterized by the granules in their cytoplasm.
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Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
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Mass Spectrum: Interpretation01:24

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An unknown compound can be established by identifying the molecular ion peak in the mass spectrum. The molecular ion peak is often weak or absent due to the predominance of fragmentation in high-energy electron beams. In such cases, a soft-energy electron beam can be used to scan the spectrum to enhance the intensity of the molecular ion peak. Additionally, chemical ionization, field ionization, and desorption ionization spectra are used to obtain a relatively intense molecular ion peak.To...
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Interpretation of Confidence Intervals01:19

Interpretation of Confidence Intervals

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A confidence interval is a better estimate of the population than a point estimate, as it uses a range of values from a sample instead of a single value.
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Related Experiment Video

Updated: Feb 14, 2026

Intravital Microscopy of Leukocyte-endothelial and Platelet-leukocyte Interactions in Mesenterial Veins in Mice
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Measuring and interpreting platelet-leukocyte aggregates.

Michaela Finsterbusch1, Waltraud C Schrottmaier1, Julia B Kral-Pointner1

  • 1a Department for Vascular Biology and Thrombosis Research , Centre for Physiology and Pharmacology, Medical University of Vienna , Vienna , Austria.

Platelets
|February 21, 2018
PubMed
Summary

Platelets interact with leukocytes, forming platelet-leukocyte aggregates (PLAs). Measuring PLAs offers a potential diagnostic tool for various inflammatory and cardiovascular diseases.

Keywords:
Platelet-leukocyte aggregatesflow cytometryinflammationlive cell imaging

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Area of Science:

  • Immunology
  • Hematology
  • Pathophysiology

Background:

  • Platelets modulate immune responses beyond hemostasis.
  • Platelet-leukocyte aggregates (PLAs) are implicated in thrombo-inflammatory diseases.

Purpose of the Study:

  • To review methods for measuring PLAs.
  • To discuss mechanisms and implications of platelet-leukocyte interactions in health and disease.

Main Methods:

  • Flow cytometry and microscopy are used to measure PLAs in human and animal models.
  • These techniques allow detailed study of leukocyte subtypes, molecules, and PLA dynamics.

Main Results:

  • Increased PLAs are markers for cardiovascular diseases, acute lung injury, and inflammation.
  • PLA measurement can serve as a prognostic and diagnostic tool.

Conclusions:

  • Understanding platelet-leukocyte interactions is crucial for diagnosing and managing inflammatory diseases.
  • Further research into PLA mechanisms can reveal therapeutic targets.