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

DNAM-1 mediates NK-cell activation and host-pathogen interaction via direct binding to fungal cell wall proteases.

Communications biology·2026
Same author

<i>FRMPD4</i>, a causal gene for intellectual disability and epilepsy, is associated with X-linked non-syndromic hearing loss.

medRxiv : the preprint server for health sciences·2026
Same author

Calprotectin and serum amyloid A for disease activity assessment in giant cell arteritis and polymyalgia rheumatica: results from a prospective single-centre cohort study.

Rheumatology international·2026
Same author

A Comparison of Flow Cytometry-based versus ImmunoSpot- or Supernatant-based Detection of SARS-CoV-2 Spike-specific Memory B Cells in Peripheral Blood.

Vaccines·2026
Same author

Extending ImmunoSpot<sup>®</sup> Assays' Sensitivity for Detecting Rare Antigen-Specific B Cells to One in a Million-And Possibly Lower.

Vaccines·2026
Same author

SARS-CoV-2 Infection or COVID-19 mRNA Vaccination Elicits Partially Different Spike-Reactive Memory B Cell Responses in Naïve Individuals.

Vaccines·2025

Related Experiment Video

Updated: May 29, 2026

Enzyme-linked Immunospot Assay (ELISPOT): Quantification of Th-1 Cellular Immune Responses Against Microbial Antigens
06:13

Enzyme-linked Immunospot Assay (ELISPOT): Quantification of Th-1 Cellular Immune Responses Against Microbial Antigens

Published on: November 23, 2010

Statistical analysis of ELISPOT assays.

Marcus Dittrich1, Paul V Lehmann

  • 1Department of Bioinformatics, Biocenter, University of Wuerzburg, Würzburg, Germany.

Methods in Molecular Biology (Clifton, N.J.)
|September 30, 2011
PubMed
Summary

Optimizing cytokine ELISPOT assays is crucial for accurately detecting rare antigen-specific T cells. Proper assay parameters and statistical analysis, like the T-Test, enhance signal-to-noise ratio and reliable results.

Area of Science:

  • Immunology
  • Cellular Immunology
  • T-cell Detection

Background:

  • Cytokine ELISPOT assays detect rare antigen-specific T cells in samples like blood.
  • Assay interpretation is challenging with low spot counts or high background signals.
  • Maximizing signal-to-noise ratio is essential for reliable T-cell detection.

Purpose of the Study:

  • To outline essential optimization steps for cytokine ELISPOT assays.
  • To discuss the importance of data analysis parameters for accurate results.
  • To evaluate the suitability of statistical methods for ELISPOT data interpretation.

Main Methods:

  • Optimization of assay parameters and reagents to minimize background and maximize antigen-induced spots.
  • Application of appropriate spot-size gating for data analysis to exclude irrelevant spots.

More Related Videos

The Isolation, Differentiation, and Quantification of Human Antibody-secreting B Cells from Blood: ELISpot as a Functional Readout of Humoral Immunity
08:26

The Isolation, Differentiation, and Quantification of Human Antibody-secreting B Cells from Blood: ELISpot as a Functional Readout of Humoral Immunity

Published on: December 14, 2016

Use of Interferon-&gamma; Enzyme-linked Immunospot Assay to Characterize Novel T-cell Epitopes of Human Papillomavirus
13:41

Use of Interferon-γ Enzyme-linked Immunospot Assay to Characterize Novel T-cell Epitopes of Human Papillomavirus

Published on: March 8, 2012

Related Experiment Videos

Last Updated: May 29, 2026

Enzyme-linked Immunospot Assay (ELISPOT): Quantification of Th-1 Cellular Immune Responses Against Microbial Antigens
06:13

Enzyme-linked Immunospot Assay (ELISPOT): Quantification of Th-1 Cellular Immune Responses Against Microbial Antigens

Published on: November 23, 2010

The Isolation, Differentiation, and Quantification of Human Antibody-secreting B Cells from Blood: ELISpot as a Functional Readout of Humoral Immunity
08:26

The Isolation, Differentiation, and Quantification of Human Antibody-secreting B Cells from Blood: ELISpot as a Functional Readout of Humoral Immunity

Published on: December 14, 2016

Use of Interferon-&gamma; Enzyme-linked Immunospot Assay to Characterize Novel T-cell Epitopes of Human Papillomavirus
13:41

Use of Interferon-γ Enzyme-linked Immunospot Assay to Characterize Novel T-cell Epitopes of Human Papillomavirus

Published on: March 8, 2012

  • Utilizing statistical methods, including the T-Test, for analyzing ELISPOT data.

    • Main Results:

    • Optimized assay parameters significantly increase the signal-to-noise ratio.
    • Spot-size gating effectively removes background noise, improving data quality.
    • The T-Test and similar methods are suitable for identifying positive T-cell responses in ELISPOT assays, with limitations.

    Conclusions:

    • Effective optimization and data analysis are paramount for reliable cytokine ELISPOT assay results.
    • Statistical analysis, particularly the T-Test, can be reliably applied to ELISPOT data for identifying T-cell responses.
    • The study provides a framework for improving the accuracy and interpretability of T-cell ELISPOT assays.