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

A software system to record and analyze digitized cell images.

Bengtsson, O Eriksson, J Holmquist

    Computer Programs in Biomedicine
    |December 1, 1977
    PubMed
    Summary

    This study introduces software for digitizing and processing microscopic cell images, aiding clinical cytology automation. The system facilitates data collection, conversion, and analysis for improved diagnostic efficiency.

    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

    A configuration interaction approach to solve the Anderson impurity model; applications to elemental Ce.

    npj computational materials·2025
    Same author

    Zero-field magnetic skyrmions in exchange-biased ferromagnetic-antiferromagnetic bilayers.

    Journal of physics. Condensed matter : an Institute of Physics journal·2024
    Same author

    Coupled atomistic spin-lattice simulations of ultrafast demagnetization in 3d ferromagnets.

    Scientific reports·2024
    Same author

    Exchange scaling of ultrafast angular momentum transfer in 4f antiferromagnets.

    Nature materials·2022
    Same author

    Complement activation prior to symptom onset in myeloperoxidase ANCA-associated vasculitis but not proteinase 3 ANCA associated vasculitis - A Swedish biobank study.

    Scandinavian journal of rheumatology·2022
    Same author

    First-principles Dzyaloshinskii-Moriya interaction in a non-collinear framework.

    Scientific reports·2020

    Area of Science:

    • Medical Informatics
    • Digital Pathology
    • Biomedical Imaging

    Background:

    • Clinical cytology relies on accurate microscopic examination of cell images.
    • Automating cell image analysis can enhance diagnostic efficiency and consistency.
    • Existing systems may lack integrated solutions for digitization, processing, and analysis.

    Purpose of the Study:

    • To describe basic software for digitizing and processing microscopic cell images for clinical cytology.
    • To detail a system for data collection, conversion, and analysis on a minicomputer and IBM system.
    • To discuss experiences with the software in the context of cytology automation.

    Main Methods:

    • Utilized a PDP-8 minicomputer connected to a Leitz Orthoplan microscope with image scanners and a photometer for data collection.

    Related Experiment Videos

  • Developed software for digitizing microscopic cell images.
  • Implemented a conversion program to transfer digitized data to an IBM-compatible format for further processing and statistical evaluation.

    • Main Results:

    • Successfully developed and implemented software for microscopic cell image digitization and processing.
    • Established a data pipeline from image acquisition to IBM-compatible format for analysis.
    • Gained experience in applying the software to cytology automation tasks.

    Conclusions:

    • The described software provides a foundational system for automated analysis of microscopic cell images in clinical cytology.
    • The system facilitates efficient data handling and processing, contributing to advancements in diagnostic workflows.
    • Experiences suggest the software's utility in advancing cytology automation and improving diagnostic capabilities.