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

Quantitative Image Analysis for Tissue Biomarker Use: A White Paper From the Digital Pathology Association.

Haydee Lara1, Zaibo Li2, Esther Abels3

  • 1GlaxoSmithKline-R&D, Cellular Biomarkers, Collegeville, PA.

Applied Immunohistochemistry & Molecular Morphology : AIMM
|March 18, 2021
PubMed
Summary

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

Urine PD-L1 as a non-invasive biomarker for immune checkpoint inhibitor (ICI) therapy in bladder cancer.

Advances in biomarker sciences and technology·2026
Same author

Advances in Precision Diagnostics: The Emerging Role of Digital Pathology and Artificial Intelligence.

Advances in anatomic pathology·2026
Same author

Incidence, Clinicopathologic Features, and Follow-up Results of Invasive Ductal Carcinoma With Lobular-Like Growth Pattern.

Clinical breast cancer·2026
Same author

Conventional type-1 DC density is associated with checkpoint inhibitor response across multiple types of cancer.

The Journal of clinical investigation·2026
Same author

Advances in Digital Cytopathology and Artificial Intelligence Applications.

Advances in anatomic pathology·2026
Same author

Pixelomics: The Omics-Style Interrogation of Whole Slide Images for Precision Pathology.

Advances in anatomic pathology·2026

Quantitative image analysis is crucial for tissue biomarker research and clinical use. This review covers technologies, applications, challenges, and regulatory guidelines for safe adoption.

Area of Science:

  • Biomedical imaging
  • Pathology
  • Translational research

Background:

  • Tissue biomarkers are vital for research, diagnosis, and predicting treatment response.
  • There's a growing trend from qualitative to quantitative biomarker assessment.
  • Quantitative image analysis is essential for detailed tissue biomarker interrogation.

Purpose of the Study:

  • To review current quantitative image analysis technologies for tissue biomarkers.
  • To discuss the applications and limitations of these technologies.
  • To outline regulatory demands and guidelines for clinical adoption.

Main Methods:

  • Review of existing literature and technologies in quantitative image analysis.
  • Analysis of current applications in research and clinical settings.

Related Experiment Videos

  • Examination of regulatory frameworks and guidelines.

    • Main Results:

    • Quantitative image analysis offers advanced insights into tissue biomarkers.
    • Identified challenges include technical limitations and standardization issues.
    • Regulatory bodies are establishing frameworks for clinical implementation.

    Conclusions:

    • Quantitative image analysis is indispensable for modern tissue biomarker studies.
    • Addressing pitfalls and adhering to guidelines are key for safe clinical integration.
    • This technology holds significant promise for improving disease diagnosis and treatment.