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

Quantifying the soft tissue response to implanted materials

J A Hunt1, D F Williams

  • 1Clinical Engineering, University of Liverpool, UK.

Biomaterials
|February 1, 1995
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

SEA URCHIN DNA SEQUENCE VARIATION AND REDUCED INTERSPECIES DIFFERENCES OF THE LESS VARIABLE DNA SEQUENCES.

Evolution; international journal of organic evolution·2017
Same author

Professional standards in failure analysis and expert reports.

The International journal of risk & safety in medicine·2013
Same author

A scientific evidence for the efficacy of biologic implants for soft tissue reconstruction.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland·2012
Same author

Anaerobic co-digestion of sewage sludge and primary clarifier skimmings for increased biogas production.

Water science and technology : a journal of the International Association on Water Pollution Research·2012
Same author

In vitro activation of human leukocytes in response to contact with synthetic hernia meshes.

Clinical biochemistry·2012
Same author

The role of calcified cartilage and subchondral bone in the initiation and progression of ochronotic arthropathy in alkaptonuria.

Arthritis and rheumatism·2011
Same journal

Corrigendum to "Photodynamic therapy produces enhanced efficacy of antitumor immunotherapy by simultaneously inducing intratumoral release of sorafenib" [Biomaterials 2020, 240, 119845].

Biomaterials·2026
Same journal

Mg-integrated octopus-inspired hydrogel dressing enables autonomous adhesion and wound closure for enhanced healing via sequential microenvironment regulation.

Biomaterials·2026
Same journal

Engineering miRNA-223 nanocomplexes via bioorthogonal self-assembly for precision therapy of intervertebral disc degeneration.

Biomaterials·2026
Same journal

Corrigendum to "Enhanced fluorescence imaging guided photodynamic therapy of sinoporphyrin sodium loaded graphene oxide" [Biomaterials 42 (2015) 16442].

Biomaterials·2026
Same journal

An injectable Ce-MnCo LDH nanozyme gel with cascade catalytic activity for acute radiation proctitis in rats.

Biomaterials·2026
Same journal

Peptide coacervate-mediated siRNA delivery for dual PD-1/PD-L1 blockade to enhance colorectal cancer immunotherapy.

Biomaterials·2026
See all related articles

Advancements in biomaterials require precise assessment of biological responses. Powerful computer systems now enable automated analysis of tissue responses to implanted materials, revealing subtle changes for better understanding.

Area of Science:

  • Biomaterials Science
  • Tissue Engineering
  • Computational Biology

Background:

  • Biomaterials are evolving from passive to interactive substances.
  • Accurate and reproducible assessment of biological responses to biomaterials is increasingly critical.
  • Traditional methods for quantifying tissue responses are limited in scope and detail.

Purpose of the Study:

  • To highlight the growing need for advanced methods to assess biomaterial interactions.
  • To introduce the application of computational systems for quantifying tissue responses.
  • To demonstrate the capability of computer-aided analysis in detecting subtle biological changes.

Main Methods:

  • Utilizing powerful computer systems for automated analysis of tissue sections.

Related Experiment Videos

  • Developing algorithms to sort and analyze large datasets of biological responses.
  • Implementing cross-comparison techniques to identify patterns and correlations in tissue data.
  • Main Results:

    • Computer systems can now automatically analyze tissue sections.
    • Vast amounts of data generated from tissue analysis can be systematically sorted.
    • Subtle changes in tissue responses to implanted biomaterials can be detected and understood.

    Conclusions:

    • Modern computational approaches are essential for quantifying biomaterial-tissue interactions.
    • Automated analysis significantly enhances the ability to understand the body's response to new biomaterials.
    • This technology facilitates the development of more effective and safer interactive biomaterials.