Literature DB >> 31293247

In vitro disease models 4.0 via automation and high-throughput processing.

Sebastian Eggert1, Dietmar W Hutmacher.   

Abstract

While much progress has been accomplished in the development of physiologically relevant in vitro disease models, current manufacturing and characterisation workflows still rely on manual, time-consuming, and low-throughput processes, which are not efficient and prone to human errors. For these reasons adoption and, more importantly, reproducibility and validation of 3D in vitro disease models is rather low for fundamental and applied research concepts. This article argues in form of a perspective view that automation and high-throughput methodologies will play a vital role to act as a catalyst to accelerate the development and characterisation process for generations to come. Innovative engineering concepts are required to overcome current limitations of in vitro disease models and to foster the scientific rigour as well as the applied research potential.

Entities:  

Year:  2019        PMID: 31293247     DOI: 10.1088/1758-5090/ab296f

Source DB:  PubMed          Journal:  Biofabrication        ISSN: 1758-5082            Impact factor:   9.954


  3 in total

1.  Open-source autosampler for elemental and isotopic analyses of solids.

Authors:  Matheus C Carvalho; William Eickhoff; Michael Drexl
Journal:  HardwareX       Date:  2020-07-10

2.  OpenWorkstation: A modular open-source technology for automated in vitro workflows.

Authors:  Sebastian Eggert; Pawel Mieszczanek; Christoph Meinert; Dietmar W Hutmacher
Journal:  HardwareX       Date:  2020-10-20

Review 3.  Advances in Hybrid Fabrication toward Hierarchical Tissue Constructs.

Authors:  Paul D Dalton; Tim B F Woodfield; Vladimir Mironov; Jürgen Groll
Journal:  Adv Sci (Weinh)       Date:  2020-04-07       Impact factor: 16.806

  3 in total

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