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

An analysis technique for biological shape-II.

J E Bowie, I T Young

    Acta Cytologica
    |May 1, 1977
    PubMed
    Summary
    This summary is machine-generated.

    A new discrete function for contour curvature aids shape analysis. Bending energy (BEN) proved most sensitive for complex shapes, outperforming normalized mean absolute curvature (NMAC) and P2A in leukocyte nuclei analysis.

    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

    Hæmorrhagic Malarial Fever.

    The Southern medical record·2022
    Same author

    Measuring the wavelength-dependent divergence of transmission through sub-wavelength hole-arrays by spectral imaging.

    Optics express·2009
    Same author

    Shading correction: compensation for illumination and sensor inhomogeneities.

    Current protocols in cytometry·2008
    Same author

    Calibration: sampling density and spatial resolution.

    Current protocols in cytometry·2008
    Same author

    Model-based resolution: applying the theory in quantitative microscopy.

    Applied optics·2008
    Same author

    Characterizing the three-dimensional organization of telomeres.

    Cytometry. Part A : the journal of the International Society for Analytical Cytology·2005
    Same journal

    The Development Path of Gynecological Cytology after Papanicolaou: from Bethesda to Artificial Intelligence and Personalized Medicine.

    Acta cytologica·2026
    Same journal

    Cytological Features of CIC-rearranged Sarcoma. A Report of 5 New Cases and Review of the Literature.

    Acta cytologica·2026
    Same journal

    Pericardial Fluid Metastatic Tumor Distribution and Fluid Volume Analysis, a 10-Year Institutional Experience.

    Acta cytologica·2026
    Same journal

    The cytopathology of infectious disease: A review.

    Acta cytologica·2026
    Same journal

    Investigation of a storage method for peritoneal and pleural effusion cytology specimens for long-term preservation of antigenicity in immunocytochemical staining.

    Acta cytologica·2026
    Same journal

    Diagnostic Utility of endoscopic crush cytology in gastrointestinal malignancies.

    Acta cytologica·2026
    See all related articles

    Area of Science:

    • Computational geometry
    • Image analysis
    • Biomorphology

    Background:

    • Shape analysis is crucial in various scientific fields.
    • Quantifying shape complexity accurately remains a challenge.
    • Existing methods may lack sensitivity to subtle shape variations.

    Purpose of the Study:

    • To derive and evaluate a novel discrete curvature function for shape analysis.
    • To compare the effectiveness of bending energy (BEN), normalized mean absolute curvature (NMAC), and P2A in describing shape complexity.
    • To assess the potential biological significance of curvature measures.

    Main Methods:

    • Derivation of a discrete curvature function.
    • Application of BEN, NMAC, and P2A to shapes from leukocyte nuclei.

    Related Experiment Videos

  • Quantitative comparison of the curvature measures' sensitivity to shape complexity.

    • Main Results:

    • Bending energy (BEN) demonstrated the highest sensitivity to complex shapes.
    • Normalized mean absolute curvature (NMAC) showed moderate sensitivity.
    • The traditional P2A measure was the least sensitive among the tested descriptors.
    • Discrepancies highlight the need for "syntactic" or form information in shape analysis.

    Conclusions:

    • Bending energy (BEN) is a promising descriptor for quantifying shape complexity, particularly in biological contexts.
    • Further research is needed to explore the potential biological significance of BEN, possibly related to developmental processes.
    • Advanced shape analysis incorporating structural information is necessary for more sophisticated object classification.