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

Toward objective selection of representative microscope images.

M K Markey1, M V Boland, R F Murphy

  • 1Center for Light Microscope Imaging and Biotechnology, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA.

Biophysical Journal
|March 30, 1999
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

Quantifying the roles of space and stochasticity in computer simulations for cell biology and cellular biochemistry.

Molecular biology of the cell·2020
Same author

Objective measurement of erythema in psoriasis using digital color photography with color calibration.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)·2015
Same author

Model building and intelligent acquisition with application to protein subcellular location classification.

Bioinformatics (Oxford, England)·2011
Same author

Multivariate analysis.

Current protocols in cytometry·2008
Same author

Quality of life in patients with prostate cancer: development and application of a hybrid assessment method.

Prostate cancer and prostatic diseases·2008
Same author

Measuring the individual quality of life of patients with prostate cancer.

Prostate cancer and prostatic diseases·2008
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
Same journal

Anisotropic unbinding and location-dependent hovering of a kinesin motor head over microtubule.

Biophysical journal·2026
See all related articles

Objectively selecting representative cell biology images is now possible. New methods use image features and distances to find typical images, improving scientific communication and data representation.

Area of Science:

  • Cell Biology
  • Image Analysis
  • Bioinformatics

Background:

  • Selecting representative images for scientific publication is often subjective.
  • Current methods lack objectivity in choosing typical visual patterns, such as subcellular localization.

Purpose of the Study:

  • To develop objective computational methods for selecting typical images from a dataset.
  • To enhance the reliability and reproducibility of image-based scientific communication.

Main Methods:

  • Image analysis using numerical features like texture and Zernike moments.
  • Calculating image similarity via distance metrics in feature space.
  • Ranking images based on their proximity to the central distribution in feature space.

Related Experiment Videos

Main Results:

  • Developed and evaluated objective methods for image typicality assessment.
  • Identified distance measures robust to outliers as crucial for accurate selection.
  • Selected typical images for organelle proteins (lysosomal, Golgi) and nuclear DNA aligned with known morphologies.

Conclusions:

  • Objective image selection methods improve the representation of biological patterns.
  • Computational approaches offer a standardized alternative to subjective image choice.
  • The developed methods are applicable to various biological imaging datasets and have been web-implemented.