A device for high-throughput monitoring of degradation in soft tissue samples.
A device for high-throughput monitoring of degradation in soft tissue samples.
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一种高通量监测软组织样品降解的装置
DOI:
10.1016/j.jbiomech.2018.04.040
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发表时间:
2018
影响因子:
2.4
通讯作者:
Neidlin M
中科院分区:
文献类型:
--
作者:
Tzeranis DS;Panagiotopoulos IA;Gkouma S;Kanakaris G;Georgiou NA;Vaindirlis N;Neidlin M
This work describes the design and validation of a novel device, the High-Throughput Degradation Monitoring Device (HDD), for monitoring the degradation of 24 soft tissue samples over incubation periods of several days inside a cell culture incubator. The device quantifies sample degradation by monitoring its deformation induced by a static gravity load. Initial instrument design and experimental protocol development focused on quantifying cartilage degeneration. Characterization of measurement errors, caused mainly by thermal transients and by translating the instrument sensor, demonstrated that HDD can quantify sample degradation with <6 μm precision and <10 μm temperature-induced errors. HDD capabilities were evaluated in a pilot study that monitored the degradation of freshex vivohuman cartilage samples by collagenase solutions over three days. HDD could robustly resolve the effects of collagenase concentration as small as 0.5 mg/ml. Careful sample preparation resulted in measurements that did not suffer from donor-to-donor variation (coefficient of variance <70%). Due to its unique combination of sample throughput, measurement precision, temporal sampling and experimental versality, HDD provides a novel biomechanics-based experimental platform for quantifying the effects of proteins (cytokines, growth factors, enzymes, antibodies) or small molecules on the degradation of soft tissues or tissue engineering constructs. Thereby, HDD can complement established tools andin vitromodels in important applications including drug screening and biomaterial development.
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DOI:
10.1089/ten.tec.2011.0233
发表时间:
2012
期刊:
Tissue engineering. Part C, Methods
影响因子:
--
作者:
D. Salvetti;C. Pino;Steven G. Manuel;Ian Dallmeyer;Sanjeet V. Rangarajan;T. Meyer;M. Kotov;V. Shastri
通讯作者:
V. Shastri
影响因子:
3.8
作者:
A. Gkousioudi;A. Gkousioudi;Dimitrios S. Tzeranis;Dimitrios S. Tzeranis;G. Kanakaris;M. Saloufas;Leonidas G. Alexopoulos
通讯作者:
Leonidas G. Alexopoulos
影响因子:
2.4
作者:
Frank, EH;Jin, M;Grodzinsky, AJ
通讯作者:
Grodzinsky, AJ
影响因子:
6.9
作者:
Richardf . Wilson;J. Whitelock;J. Bateman
通讯作者:
J. Bateman
影响因子:
3.8
作者:
Aufderheide, Adam C.;Athanasiou, Kyriacos A.
通讯作者:
Athanasiou, Kyriacos A.