ArticleTissue engineering. Part C, Methods2011
Automated and adaptable quantification of cellular alignment from microscopic images for tissue engineering applications.
Article in Tissue engineering. Part C, Methods, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
20 citing papers in PubMed.
- Extracellular matrix microarchitecture modulates cellular behavior and extracellular vesicle phenotypes in biomimetic tendon models.Bioengineering & translational medicine · 2026Article
- Humanized In Vivo Bone Tissue Engineering: In Vitro Preculture Conditions Control the Structural, Cellular, and Matrix Composition of Humanized Bone Organs.Advanced healthcare materials · 2025Article
- A toolbox to analyze collective cell migration, proliferation and cellular organization simultaneously.Cell adhesion & migration · 2023Article
- Collagen Fibril Orientation Instructs Fibroblast Differentiation Via Cell Contractility.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Naturally Prefabricated Marine Biomaterials: Isolation and Applications of Flat Chitinous 3D Scaffolds fromInternational journal of molecular sciences · 2019Article
- Accurate micro-computed tomography imaging of pore spaces in collagen-based scaffold.Journal of materials science. Materials in medicine · 2016Article
- An approach to quantifying 3D responses of cells to extreme strain.Scientific reports · 2016Article
- Mutations in DCHS1 cause mitral valve prolapse.Nature · 2015Article
- Engineering anisotropic biomimetic fibrocartilage microenvironment by bioprinting mesenchymal stem cells in nanoliter gel droplets.Molecular pharmaceutics · 2014Article
- Microfabricated perfusable cardiac biowire: a platform that mimics native cardiac bundle.Lab on a chip · 2014Article
- Quantifying cellular alignment on anisotropic biomaterial platforms.Journal of biomedical materials research. Part A · 2014Article
- The direction of stretch-induced cell and stress fiber orientation depends on collagen matrix stress.PloS one · 2014Article
- Relative impact of uniaxial alignment vs. form-induced stress on differentiation of human adipose derived stem cells.Biomaterials · 2013Article
- Hydrogel-coated microfluidic channels for cardiomyocyte culture.Lab on a chip · 2013Article
- A novel customizable modular bioreactor system for whole-heart cultivation under controlled 3D biomechanical stimulation.Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs · 2013Article
- A statistical algorithm for assessing cellular alignment.Journal of biomedical materials research. Part A · 2013Article
- Nanoscale clustering of carbohydrate thiols in mixed self-assembled monolayers on gold.Langmuir : the ACS journal of surfaces and colloids · 2012Article
- Emerging technologies for assembly of microscale hydrogels.Advanced healthcare materials · 2012Review
- Microengineering methods for cell-based microarrays and high-throughput drug-screening applications.Biofabrication · 2011Article
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Authors and funding
5 authors.
Funding
Abstract
Cellular alignment plays a critical role in functional, physical, and biological characteristics of many tissue types, such as muscle, tendon, nerve, and cornea. Current efforts toward regeneration of these tissues include replicating the cellular microenvironment by developing biomaterials that facilitate cellular alignment. To assess the functional effectiveness of the engineered microenvironments, one essential criterion is quantification of cellular alignment. Therefore, there is a need for rapid, accurate, and adaptable methodologies to quantify cellular alignment for tissue engineering applications. To address this need, we developed an automated method, binarization-based extraction of alignment score (BEAS), to determine cell orientation distribution in a wide variety of microscopic images. This method combines a sequenced application of median and band-pass filters, locally adaptive thresholding approaches and image processing techniques. Cellular alignment score is obtained by applying a robust scoring algorithm to the orientation distribution. We validated the BEAS method by comparing the results with the existing approaches reported in literature (i.e., manual, radial fast Fourier transform-radial sum, and gradient based approaches). Validation results indicated that the BEAS method resulted in statistically comparable alignment scores with the manual method (coefficient of determination R(2)=0.92). Therefore, the BEAS method introduced in this study could enable accurate, convenient, and adaptable evaluation of engineered tissue constructs and biomaterials in terms of cellular alignment and organization.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.