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Novel morphological multi-scale evaluation system for quality assessment of decellularized liver scaffolds

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11120%2F20%3A43920184" target="_blank" >RIV/00216208:11120/20:43920184 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11140/20:10411728 RIV/75010330:_____/20:00012994

  • Result on the web

    <a href="https://doi.org/10.1177/2041731420921121" target="_blank" >https://doi.org/10.1177/2041731420921121</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1177/2041731420921121" target="_blank" >10.1177/2041731420921121</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Novel morphological multi-scale evaluation system for quality assessment of decellularized liver scaffolds

  • Original language description

    Decellularized scaffolds can serve as an excellent three-dimensional environment for cell repopulation. They maintain tissue-specific microarchitecture of extracellular matrix proteins with important spatial cues for cell adhesion, migration, growth, and differentiation. However, criteria for quality assessment of the three-dimensional structure of decellularized scaffolds are rather fragmented, usually study-specific, and mostly semi-quantitative. Thus, we aimed to develop a robust structural assessment system for decellularized porcine liver scaffolds. Five scaffolds of different quality were used to establish the new evaluation system. We combined conventional semi-quantitative scoring criteria with a quantitative scaffold evaluation based on automated image analysis. For the quantitation, we developed a specific open source software tool (ScaffAn) applying algorithms designed for texture analysis, segmentation, and skeletonization. ScaffAn calculates selected parameters characterizing structural features of porcine liver scaffolds such as the sinusoidal network. After evaluating individual scaffolds, the total scores predicted scaffold interaction with cells in terms of cell adhesion. Higher scores corresponded to higher numbers of cells attached to the scaffolds. Moreover, our analysis revealed that the conventional system could not identify fine differences between good quality scaffolds while the additional use of ScaffAn allowed discrimination. This led us to the conclusion that only using the combined score resulted in the best discrimination between different quality scaffolds. Overall, our newly defined evaluation system has the potential to select the liver scaffolds most suitable for recellularization, and can represent a step toward better success in liver tissue engineering.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30109 - Pathology

Result continuities

  • Project

    <a href="/en/project/EF17_048%2F0007280" target="_blank" >EF17_048/0007280: Application of Modern Technologies in Medicine and Industry</a><br>

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Tissue Engineering

  • ISSN

    2041-7314

  • e-ISSN

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    May

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    14

  • Pages from-to

    "Article 2041731420921121"

  • UT code for WoS article

    000538875600001

  • EID of the result in the Scopus database

    2-s2.0-85085612560