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 Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Quantitative single-cell analysis of PML-RARα oncogene-induced DNA damage along cell cycle progression.

Methods (San Diego, Calif.)·2026
Same author

Therapeutic inhibition of telomeric DNA damage response rescues hematopoietic dysfunction driven by telomere shortening and aging.

Nature aging·2026
Same author

MiTo: tracing the phenotypic evolution of somatic cell lineages via mitochondrial single-cell multi-omics.

Nature communications·2026
Same author

Mechanical load inhibits cancer growth in mouse and human hearts.

Science (New York, N.Y.)·2026
Same author

The normal human lymph node cell classification and landscape defined by high-dimensional spatial proteomics.

PloS one·2026
Same author

Automated Intelligent Microscopy for Phenotype Identification, Spatial Localization, and Retargeting of Cells.

Methods in molecular biology (Clifton, N.J.)·2026

Related Experiment Video

Updated: May 13, 2026

Workflow for High-content, Individual Cell Quantification of Fluorescent Markers from Universal Microscope Data, Supported by Open Source Software
09:57

Workflow for High-content, Individual Cell Quantification of Fluorescent Markers from Universal Microscope Data, Supported by Open Source Software

Published on: December 16, 2014

A computational platform for robotized fluorescence microscopy (I): high-content image-based cell-cycle analysis.

Laura Furia1, Pier Giuseppe Pelicci, Mario Faretta

  • 1Department of Experimental Oncology, European Institute of Oncology, IFOM-IEO Campus for Oncogenomics, Milano 20139, Italy.

Cytometry. Part a : the Journal of the International Society for Analytical Cytology
|March 7, 2013
PubMed
Summary
This summary is machine-generated.

We developed A.M.I.CO., a novel computational platform for automated microscopy image analysis. This system enhances high-resolution imaging by integrating flow cytometry assays for advanced cell analysis.

More Related Videos

A High-content Imaging Workflow to Study Grb2 Signaling Complexes by Expression Cloning
10:52

A High-content Imaging Workflow to Study Grb2 Signaling Complexes by Expression Cloning

Published on: October 30, 2012

Substructure Analyzer: A User-Friendly Workflow for Rapid Exploration and Accurate Analysis of Cellular Bodies in Fluorescence Microscopy Images
14:28

Substructure Analyzer: A User-Friendly Workflow for Rapid Exploration and Accurate Analysis of Cellular Bodies in Fluorescence Microscopy Images

Published on: July 15, 2020

Related Experiment Videos

Last Updated: May 13, 2026

Workflow for High-content, Individual Cell Quantification of Fluorescent Markers from Universal Microscope Data, Supported by Open Source Software
09:57

Workflow for High-content, Individual Cell Quantification of Fluorescent Markers from Universal Microscope Data, Supported by Open Source Software

Published on: December 16, 2014

A High-content Imaging Workflow to Study Grb2 Signaling Complexes by Expression Cloning
10:52

A High-content Imaging Workflow to Study Grb2 Signaling Complexes by Expression Cloning

Published on: October 30, 2012

Substructure Analyzer: A User-Friendly Workflow for Rapid Exploration and Accurate Analysis of Cellular Bodies in Fluorescence Microscopy Images
14:28

Substructure Analyzer: A User-Friendly Workflow for Rapid Exploration and Accurate Analysis of Cellular Bodies in Fluorescence Microscopy Images

Published on: July 15, 2020

Area of Science:

  • Biotechnology
  • Cell Biology
  • Computational Imaging

Background:

  • Fluorescence microscopy has advanced significantly, but lacks the extensive applications of flow cytometry (FCM).
  • There is a need to bridge the gap between high-resolution imaging and FCM-based quantitative analysis.

Purpose of the Study:

  • To develop a computational platform, A.M.I.CO. (Automated Microscopy for Image-Cytometry), for quantitative image analysis.
  • To adapt FCM assays for high-resolution microscopy, focusing on DNA content and cell-cycle profiling.
  • To link image analysis directly with acquisition for targeted population isolation and further analysis.

Main Methods:

  • Utilized widefield and confocal automated microscopes at 200 nm resolution.
  • Developed staining protocols and analysis procedures to recapitulate FCM assays.
  • Integrated white-light sources for multiparameter analysis, including DNA/protein content and spatial distribution.

Main Results:

  • Successfully recapitulated numerous FCM assays, including DNA content measurement and cell-cycle profile reconstruction.
  • Achieved efficient multiparameter analysis and high-resolution intracellular analysis (200 nm).
  • Established a direct link between image analysis and acquisition, enabling targeted population isolation and relocation.

Conclusions:

  • A.M.I.CO. platform effectively bridges high-resolution imaging and FCM capabilities.
  • The system provides advanced quantitative intracellular analysis with significant statistical relevance.
  • A.M.I.CO. offers flexibility for integrating flow, image-stream, and laser-scanning cytometry.