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

A new feature selection approach with binary exponential henry gas solubility optimization and hybrid data transformation methods.

MethodsX·2024
Same author

CNN-O-ELMNet: Optimized Lightweight and Generalized Model for Lung Disease Classification and Severity Assessment.

IEEE transactions on medical imaging·2024
Same author

Physiological and antioxidant responses associated with <i>Sub1</i> gene introgressed rice (<i>Oryza sativa</i> L.) lines under complete submergence.

Physiology and molecular biology of plants : an international journal of functional plant biology·2024
Same author

A new firefly algorithm-based superpixel clustering method for vehicle segmentation.

Soft computing·2022
Same author

A comprehensive survey of image segmentation: clustering methods, performance parameters, and benchmark datasets.

Multimedia tools and applications·2021
Same author

Enhanced Binary Hexagonal Extrema Pattern (EBH<sub>X</sub>EP) Descriptor for Iris Liveness Detection.

Wireless personal communications·2020

Related Experiment Video

Updated: Apr 26, 2026

Microfluidic Assay for the Assessment of Leukocyte Adhesion to Human Induced Pluripotent Stem Cell-derived Endothelial Cells hiPSC-ECs
06:47

Microfluidic Assay for the Assessment of Leukocyte Adhesion to Human Induced Pluripotent Stem Cell-derived Endothelial Cells hiPSC-ECs

Published on: November 26, 2018

8.9K

Automated microscopic image analysis for leukocytes identification: a survey.

Mukesh Saraswat1, K V Arya1

  • 1ABV-Indian Institute of Information Technology and Management, Gwalior, India.

Micron (Oxford, England : 1993)
|July 22, 2014
PubMed
Summary

This review discusses automated methods for counting and classifying white blood cells (leukocytes) in images, crucial for disease diagnosis and drug development. It highlights challenges and future research directions in leukocyte quantification.

Keywords:
ClassificationFeature extractionFeature selectionImage preprocessingLeukocytes segmentation

More Related Videos

Quantitative Visualization of Leukocyte Infiltrate in a Murine Model of Fulminant Myocarditis by Light Sheet Microscopy
06:49

Quantitative Visualization of Leukocyte Infiltrate in a Murine Model of Fulminant Myocarditis by Light Sheet Microscopy

Published on: May 31, 2017

7.5K
Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
07:05

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Published on: February 15, 2022

2.0K

Related Experiment Videos

Last Updated: Apr 26, 2026

Microfluidic Assay for the Assessment of Leukocyte Adhesion to Human Induced Pluripotent Stem Cell-derived Endothelial Cells hiPSC-ECs
06:47

Microfluidic Assay for the Assessment of Leukocyte Adhesion to Human Induced Pluripotent Stem Cell-derived Endothelial Cells hiPSC-ECs

Published on: November 26, 2018

8.9K
Quantitative Visualization of Leukocyte Infiltrate in a Murine Model of Fulminant Myocarditis by Light Sheet Microscopy
06:49

Quantitative Visualization of Leukocyte Infiltrate in a Murine Model of Fulminant Myocarditis by Light Sheet Microscopy

Published on: May 31, 2017

7.5K
Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
07:05

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Published on: February 15, 2022

2.0K

Area of Science:

  • Medical Image Analysis
  • Hematology
  • Computational Pathology

Background:

  • Accurate quantification and classification of leukocytes in microscopic images are vital for disease diagnosis, monitoring progression, and drug development.
  • Extracting reliable leukocyte data from blood or tissue images presents significant computational challenges.
  • Existing methods face issues like poor image background, overlapping cell nuclei, and dimensionality reduction of nuclei.

Purpose of the Study:

  • To review and evaluate recent automated methods for leukocyte identification in microscopic images.
  • To identify and discuss the constraints and limitations of current leukocyte quantification techniques.
  • To present a future research perspective and outline challenges faced by pathologists.

Main Methods:

  • Categorization and critical evaluation of recently developed automated leukocyte identification methods.
  • Analysis of image normalization, nuclei segmentation, and cell classification techniques.
  • Discussion of common challenges including background noise and nuclear overlap.

Main Results:

  • A comprehensive overview of current automated leukocyte identification techniques and their performance.
  • Identification of key limitations in existing methods, hindering accurate quantification and classification.
  • Insights into the practical challenges encountered by pathologists in manual or automated analysis.

Conclusions:

  • Automated leukocyte analysis is critical but faces persistent technical hurdles.
  • Further research is needed to overcome limitations in segmentation, classification, and handling image artifacts.
  • Addressing these challenges will improve diagnostic accuracy and accelerate drug discovery processes.