The key to understanding, harnessing, and manipulating natural biological processes for the benefit of tissue engineering lies in providing a controllable dynamic environment for tissue development in vitro while being able to track cell activity in real time. This work presents a multi-channel bioreactor specifically designed to enable on-line imaging of fluorescently labeled cells embedded in replicated 3D engineered constructs subjected to different flow conditions. The images are acquired in 3D using a standard upright confocal microscope and further analyzed and quantified by computer vision. The platform is used to characterize and quantify the pace and directionality of angiogenic processes induced by flow. The presented apparatus bears considerable potential to advance scientific research, from basic research pursuing the effect of flow versus static conditions on 3D scaffolds and cell types, to clinically oriented modeling in drug screening and cytotoxicity assays.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6499812PMC
http://dx.doi.org/10.1038/s42003-019-0400-zDOI Listing

Publication Analysis

Top Keywords

multi-flow channel
4
channel bioreactor
4
bioreactor enables
4
enables real-time
4
real-time monitoring
4
monitoring cellular
4
cellular dynamics
4
dynamics engineered
4
engineered tissue
4
tissue key
4

Similar Publications

Gravity-driven preprogrammed microfluidic recirculation system for parallel biosensing of cell behaviors.

Anal Chim Acta

November 2022

Department of Mechanical Engineering, Konkuk University, Seoul, 05029, South Korea. Electronic address:

Fluid recirculation is an important function for organ-on-chip and microfluidic applications. For a systematic analysis, simultaneously applying multi-flow conditions in parallel channels is essential. However, control of parallel recirculation flows without using dynamic off-chip controllers that can drastically simplify device operation has been rarely implemented.

View Article and Find Full Text PDF

Automated driving systems (ADSs) conceive an efficient and safe way of driving. The safety of ADSs depends on a precise object detector that needs to be upgraded continuously facing various environments. Massive annotations are required to utilize collected images of surroundings through vehicles and accommodate new environments.

View Article and Find Full Text PDF
Article Synopsis
  • The study introduces a new classification method using a hierarchical neural network to analyze multi-channel PSG signals for automatic sleep staging into five classes.
  • The model consists of two stages: one for feature learning that combines hand-crafted and network-trained features, and another using a multi-flow RNN to capture temporal information.
  • The proposed method achieved an overall accuracy of 0.878 and an F1-score of 0.818 when evaluated on data from the Montreal Archive of Sleep Studies, outperforming existing methods.
View Article and Find Full Text PDF

The key to understanding, harnessing, and manipulating natural biological processes for the benefit of tissue engineering lies in providing a controllable dynamic environment for tissue development in vitro while being able to track cell activity in real time. This work presents a multi-channel bioreactor specifically designed to enable on-line imaging of fluorescently labeled cells embedded in replicated 3D engineered constructs subjected to different flow conditions. The images are acquired in 3D using a standard upright confocal microscope and further analyzed and quantified by computer vision.

View Article and Find Full Text PDF

Circulating tumor cells (CTCs) carry a wealth of information on primary and metastatic tumors critical for precise cancer detection, monitoring, and treatment. Numerous microfluidic platforms have been developed in the past few years to capture these rare cells in patient bloodstream for deciphering the critical information needed. However, the practical need for a high-quality method of CTC isolation remains to be met.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!