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

Publication Guidelines for Optimized Multiparameter Immunolabeling Panels (OMIPs).

Cytometry. Part A : the journal of the International Society for Analytical Cytology·2026
Same author

International microscopy facility benchmarking survey.

Journal of microscopy·2026
Same author

An Open-Source Workflow for Semi-Automated Spatial Profiling of Multiplex Immunofluorescent Images.

Current protocols·2026
Same author

Development of a 3D <i>In Vitro</i> Wound Healing Model to Assess the Effect of ADSC-EVs on Vascularization.

Tissue engineering. Part A·2025
Same author

Uncovering Sex-Related Differences in Skin Macrophage Polarization During Wound Healing in Diabetic Mice.

Frontiers in bioscience (Landmark edition)·2025
Same author

A novel approach to digital characterisation of Tertiary Lymphoid Structures in colorectal cancer.

Frontiers in immunology·2025

Related Experiment Video

Updated: Sep 30, 2025

Author Spotlight: Enhanced Multiplex Immunofluorescent Microscopy Protocol for Neuroscience Research
05:22

Author Spotlight: Enhanced Multiplex Immunofluorescent Microscopy Protocol for Neuroscience Research

Published on: June 21, 2024

541

How to Build an Image-Processing Pipeline for Automating Multiparameter Histocytometry Analysis.

Luis Munoz-Erazo1, Alfonso J Schmidt1, Diana Shinko2

  • 1Malaghan Institute of Medical Research, Wellington, New Zealand.

Current Protocols
|March 16, 2022
PubMed
Summary

This study introduces a low-cost protocol for histocytometry, enabling detailed single-cell analysis of multiparameter imaging data. The user-friendly graphical interface (GUI) software facilitates cell segmentation, phenotyping, and spatial analysis without extensive programming knowledge.

Keywords:
cell segmentationdata analysishistocytometryimagingimmunophenotypingmicroscopymultiparameternearest neighborspatial analysis

More Related Videos

Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques
09:48

Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques

Published on: June 30, 2017

7.6K
Automated Quantification of Hematopoietic Cell &#8211; Stromal Cell Interactions in Histological Images of Undecalcified Bone
09:31

Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone

Published on: April 8, 2015

11.7K

Related Experiment Videos

Last Updated: Sep 30, 2025

Author Spotlight: Enhanced Multiplex Immunofluorescent Microscopy Protocol for Neuroscience Research
05:22

Author Spotlight: Enhanced Multiplex Immunofluorescent Microscopy Protocol for Neuroscience Research

Published on: June 21, 2024

541
Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques
09:48

Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques

Published on: June 30, 2017

7.6K
Automated Quantification of Hematopoietic Cell &#8211; Stromal Cell Interactions in Histological Images of Undecalcified Bone
09:31

Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone

Published on: April 8, 2015

11.7K

Area of Science:

  • Biotechnology
  • Computational Biology
  • Microscopy Imaging

Background:

  • Traditional imaging data analysis was quantitative, limited to a few markers.
  • Advancements enable multiparameter imaging analysis at the single-cell level (histocytometry).
  • Current histocytometry methods often require expensive software or programming expertise.

Purpose of the Study:

  • To present an accessible protocol for histocytometric analysis of imaging data.
  • To enable cell segmentation, phenotyping, and spatial analysis using GUIs.
  • To offer a low-cost solution for multiparameter microscopic image analysis.

Main Methods:

  • Development of protocols for cell segmentation and generation of histocytometric data (.csv).
  • Implementation of methods for phenotyping distinct cell populations.
  • Integration of spatial relationship analyses for phenotyped cell populations.

Main Results:

  • Successful cell segmentation and phenotyping using user-friendly GUI software.
  • Derivation of spatial and phenotypical data from multiparameter microscopic images.
  • Demonstration of a low-cost, accessible approach to histocytometry.

Conclusions:

  • The presented protocol democratizes histocytometry by utilizing accessible GUI software.
  • Enables comprehensive analysis of multiparameter imaging data across various platforms.
  • Facilitates advanced biological insights through cost-effective single-cell spatial and phenotypical profiling.