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Image analyses for engineering advanced tissue biomanufacturing processes.
Allenby, Mark C; Woodruff, Maria A.
Afiliación
  • Allenby MC; BioMimetic Systems Engineering (BMSE) Laboratory, School of Chemical Engineering, University of Queensland, Australia; Biofabrication and Tissue Morphology (BTM) Group, Centre for Biomedical Technologies, School of Medical, Mechanical, and Process Engineering (MMPE), Queensland University of Technology (QUT), Australia. Electronic address: m.allenby@uq.edu.au.
  • Woodruff MA; Biofabrication and Tissue Morphology (BTM) Group, Centre for Biomedical Technologies, School of Medical, Mechanical, and Process Engineering (MMPE), Queensland University of Technology (QUT), Australia.
Biomaterials ; 284: 121514, 2022 05.
Article en En | MEDLINE | ID: mdl-35413510
Industrial cell culture processes are inherently expensive, time-consuming, and variable. These limitations have become a critical bottleneck for the industrial translation of human cell and tissue biomanufacturing, as few human cell culture products deliver sufficient benefit, value, and consistency to offset their high manufacturing costs and produce useful clinical or biomedical solutions. Recent advances in biomedical image analysis and computational modelling can enhance the design and operation of high-efficiency tissue biomanufacturing platforms, as well as the high-content characterisation and monitoring of culture performance, to enable bioprocess control, optimisation, and automation. These computational technologies aim to maximize culture outcomes while minimizing variability and process development expense. In this review, we outline current resources and approaches which harness biomedical imaging and image-based computational models to design and operate efficient and robust human tissue biomanufacturing platforms.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Técnicas de Cultivo de Célula / Ingeniería de Tejidos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Biomaterials Año: 2022 Tipo del documento: Article Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Técnicas de Cultivo de Célula / Ingeniería de Tejidos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Biomaterials Año: 2022 Tipo del documento: Article Pais de publicación: Países Bajos