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 Video

Updated: Jul 2, 2026

Polymer Microarrays for High Throughput Discovery of Biomaterials
13:37

Polymer Microarrays for High Throughput Discovery of Biomaterials

Published on: January 25, 2012

Deciphering cellular morphology and biocompatibility using polymer microarrays.

Salvatore Pernagallo1, Asier Unciti-Broceta, Juan José Díaz-Mochón

  • 1School of Chemistry, King's Buildings, West Mains Road, Edinburgh EH9 3JJ, UK.

Biomedical Materials (Bristol, England)
|August 19, 2008
PubMed
Summary
This summary is machine-generated.

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

Caspofungin-Based Red-Emissive Probes for Fluorescent Imaging of Pathogenic Fungi.

JACS Au·2026
Same author

Identification of drug candidates against glioblastoma with machine learning and high-throughput screening of heterogeneous cellular models.

Digital discovery·2026
Same author

Discovery of a Highly Potent and Selective mTOR Inhibitor that Strongly Suppresses Glioblastoma Multiforme Cell Growth.

Journal of medicinal chemistry·2026
Same author

Integrating Host Genetics and Clinical Setting in Machine Learning Models: Predicting COVID-19 Prognosis for Healthcare Decision-Making (The FeMiNa Study).

Diagnostics (Basel, Switzerland)·2026
Same author

A novel Dual-guide CRISPR-Cas13 strategy improves specificity for single-nucleotide variant detection.

Nucleic acids research·2026
Same author

Structure-Property Relationships of Near-Infrared Cyanine Dyes: Chalcogen-Driven Singlet Oxygen Generation with High Fluorescence Efficiency.

ACS omega·2026
Same journal

Hemostatic and antibacterial performance of alginate/tannic acid-coated gauze for advanced wound care.

Biomedical materials (Bristol, England)·2026
Same journal

A sequentially orthogonal dual-peptide (TPS/DGEA) coating with synergistic anticoagulant, anti-inflammatory and pro-endothelialization functions for vascular stents.

Biomedical materials (Bristol, England)·2026
Same journal

Restoration of ampicillin susceptibility in drug-resistant enterococcus faecalis via synergistic therapy with co-functionalized gold nanoparticles.

Biomedical materials (Bristol, England)·2026
Same journal

A review on assessment of advances in polymers and their hybrid nanosystem for leukaemia theranostics applications.

Biomedical materials (Bristol, England)·2026
Same journal

Controllable preparation of magnesium-hybridized PLA-PEG-PLA porous microspheres with anti-inflammatory function.

Biomedical materials (Bristol, England)·2026
Same journal

Core-shell fibrous threads loaded with VEGF plasmid polyplexes for sustained, threshold-guided gene delivery.

Biomedical materials (Bristol, England)·2026
See all related articles

This study introduces a high-throughput method for analyzing cell interactions with biomaterials. The technique efficiently identifies optimal polymer substrates for implants and tissue engineering by assessing cell adhesion, morphology, and viability.

Area of Science:

  • Biomaterials Science
  • Cell Biology
  • Polymer Chemistry

Background:

  • Understanding cellular responses to biomaterials is crucial for developing effective implant surfaces and tissue-engineering scaffolds.
  • Current methods for analyzing cell-biomaterial interactions are often low-throughput, limiting the scope of investigations.

Purpose of the Study:

  • To develop a normalized, high-throughput protocol for simultaneously assessing cellular adhesion, morphology, and viability on diverse polymer substrates.
  • To enable rapid screening of large polymer libraries for optimal biomaterial candidates.

Main Methods:

  • Utilized polymer microarrays and high-content fluorescence microscopy for rapid, quantitative, and qualitative analysis.
  • Applied a normalized protocol for high-throughput (HT) screening of cell binding substrates.

More Related Videos

High-throughput Identification of Bacteria Repellent Polymers for Medical Devices
10:43

High-throughput Identification of Bacteria Repellent Polymers for Medical Devices

Published on: November 5, 2016

A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces
12:04

A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces

Published on: March 1, 2017

Related Experiment Videos

Last Updated: Jul 2, 2026

Polymer Microarrays for High Throughput Discovery of Biomaterials
13:37

Polymer Microarrays for High Throughput Discovery of Biomaterials

Published on: January 25, 2012

High-throughput Identification of Bacteria Repellent Polymers for Medical Devices
10:43

High-throughput Identification of Bacteria Repellent Polymers for Medical Devices

Published on: November 5, 2016

A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces
12:04

A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces

Published on: March 1, 2017

  • Tested a 214-member polyurethane library using mouse fibroblast cells (L929).

    • Main Results:

    • Successfully identified optimal polymer substrates with high biocompatibility.
    • Observed distinct cellular morphologies, indicating polymer-specific effects on cell shape.
    • Structure-activity relationship (SAR) studies revealed a direct correlation between cellular adhesion and polymer structure.

    Conclusions:

    • The developed HT approach allows for reproducible, large-scale screening of biomaterials.
    • This method significantly reduces the time, reagents, and cells required for biomaterial discovery.
    • The protocol facilitates the discovery of novel biomaterials with tailored cellular interactions for various biomedical applications.