Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Probability density function of the red cell membrane permeability coefficient.

J T Saari, J S Beck

    Biophysical Journal
    |January 1, 1974
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    Unrelenting Depression and Suicidality in Women with Autistic Traits.

    Journal of autism and developmental disorders·2019
    Same author

    Bone marrow activity in vitro under the influence of anemic serum and human erythropoietin.

    UCRL [reports]. U.S. Atomic Energy Commission·2014
    Same author

    Cell differentiation and radiopathology in the wing of Tribolium confusum.

    UCRL [reports]. U.S. Atomic Energy Commission·2014
    Same author

    Effects of x-irradiation upon cell population and morphogenesis in the developing beetle wing.

    UCRL [reports]. U.S. Atomic Energy Commission·2014
    Same author

    The Circulatory Pattern in the Islands of Langerhans.

    The American journal of pathology·2009
    Same author

    The Circulation in the Pancreatic Lobule after Partial Venous Obstruction.

    The American journal of pathology·2009
    Same journal

    Heterogeneous binding of SARS-CoV2 fusion peptide on complex cellular membranes enhances its fusogenicity.

    Biophysical journal·2026
    Same journal

    Tau protein differentially affects Piezo1 and Kir2.1 channels in brain capillary endothelial cells.

    Biophysical journal·2026
    Same journal

    Emergent Intercellular Junction Stability during Cyclic Tissue Loading.

    Biophysical journal·2026
    Same journal

    Enhanced-Sampling Simulations Reveal Distinct Intermediates in SARS-CoV-2 FSE Pseudoknot Interconversion.

    Biophysical journal·2026
    Same journal

    Structure-based simulations of the full Flock House virus capsid reveal pathways and energetics of an infection-critical peptide externalization event.

    Biophysical journal·2026
    Same journal

    Quantifying the Peripheral Surface Information Entropy from Conformational Ensembles of Globular Protein-Peptide Complexes.

    Biophysical journal·2026
    See all related articles

    This study determines the distribution of red blood cell permeability coefficients by matching predicted and observed hemolysis time distributions using spectrophotometry. This method refines understanding of red blood cell properties.

    Area of Science:

    • Biophysics
    • Computational Biology
    • Hematology

    Background:

    • Red blood cell (RBC) hemolysis time is influenced by permeability coefficients and geometric variables.
    • Understanding the distribution of these factors is crucial for predicting RBC behavior.

    Purpose of the Study:

    • To determine the complete distribution of the RBC permeability coefficient.
    • To establish a method for inferring variable distributions from functional relationships and observed data.

    Main Methods:

    • Modeling hemolysis time as a function of permeability coefficient and geometric variables.
    • Predicting hemolysis time distribution based on known geometric variable distributions and assumed permeability coefficient parameters.
    • Utilizing spectrophotometry to obtain observed hemolysis time distributions.

    Related Experiment Videos

  • Employing a least-squares criterion to match predicted and observed probability density functions (PDFs).

    • Main Results:

    • The study successfully determined the complete distribution of the permeability coefficient.
    • The method demonstrated that matching predicted and observed PDFs allows for the inference of underlying variable distributions.
    • The mean and standard deviation of the permeability coefficient were optimized to achieve the best PDF fit.

    Conclusions:

    • The developed method effectively determines the distribution of a key cellular parameter (permeability coefficient).
    • This approach provides a robust framework for inferring unknown distributions from observable outcomes and functional relationships.
    • The findings have implications for understanding RBC physiology and developing predictive models in hematology.