scholarly journals Three Dimensional Microvascularized Tissue Models by Laser‐Based Cavitation Molding of Collagen

2022 ◽  
pp. 2109823
Author(s):  
Alessandro Enrico ◽  
Dimitrios Voulgaris ◽  
Rebecca Östmans ◽  
Naveen Sundaravadivel ◽  
Lucille Moutaux ◽  
...  
2018 ◽  
Vol 38 (1) ◽  
pp. 158-169 ◽  
Author(s):  
Ashutosh Bandyopadhyay ◽  
Vimal Kumar Dewangan ◽  
Kiran Yellappa Vajanthri ◽  
Suruchi Poddar ◽  
Sanjeev Kumar Mahto

2016 ◽  
Vol 113 (52) ◽  
pp. 14915-14920 ◽  
Author(s):  
Yih Yang Chen ◽  
Pamuditha N. Silva ◽  
Abdullah Muhammad Syed ◽  
Shrey Sindhwani ◽  
Jonathan V. Rocheleau ◽  
...  

On-chip imaging of intact three-dimensional tissues within microfluidic devices is fundamentally hindered by intratissue optical scattering, which impedes their use as tissue models for high-throughput screening assays. Here, we engineered a microfluidic system that preserves and converts tissues into optically transparent structures in less than 1 d, which is 20× faster than current passive clearing approaches. Accelerated clearing was achieved because the microfluidic system enhanced the exchange of interstitial fluids by 567-fold, which increased the rate of removal of optically scattering lipid molecules from the cross-linked tissue. Our enhanced clearing process allowed us to fluorescently image and map the segregation and compartmentalization of different cells during the formation of tumor spheroids, and to track the degradation of vasculature over time within extracted murine pancreatic islets in static culture, which may have implications on the efficacy of beta-cell transplantation treatments for type 1 diabetes. We further developed an image analysis algorithm that automates the analysis of the vasculature connectivity, volume, and cellular spatial distribution of the intact tissue. Our technique allows whole tissue analysis in microfluidic systems, and has implications in the development of organ-on-a-chip systems, high-throughput drug screening devices, and in regenerative medicine.


Author(s):  
Stefan Hoehme ◽  
Adrian Friebel ◽  
Seddik Hammad ◽  
Dirk Drasdo ◽  
Jan G. Hengstler

2019 ◽  
Vol 25 (3) ◽  
pp. 753-761 ◽  
Author(s):  
Warren Colomb ◽  
Matthew Osmond ◽  
Charles Durfee ◽  
Melissa D. Krebs ◽  
Susanta K. Sarkar

AbstractThe absence of quantitative in vitro cell–extracellular matrix models represents an important bottleneck for basic research and human health. Randomness of cellular distributions provides an opportunity for the development of a quantitative in vitro model. However, quantification of the randomness of random cell distributions is still lacking. In this paper, we have imaged cellular distributions in an alginate matrix using a multiview light sheet microscope and developed quantification metrics of randomness by modeling it as a Poisson process, a process that has constant probability of occurring in space or time. We imaged fluorescently labeled human mesenchymal stem cells embedded in an alginate matrix of thickness greater than 5 mm with $\sim\! {\rm 2}{\rm. 9} \pm {\rm 0}{\rm. 4}\,\mu {\rm m}$ axial resolution, the mean full width at half maximum of the axial intensity profiles of fluorescent particles. Simulated randomness agrees well with the experiments. Quantification of distributions and validation by simulations will enable quantitative study of cell–matrix interactions in tissue models.


2006 ◽  
Vol 14 (16) ◽  
pp. 7159 ◽  
Author(s):  
Wei Tan ◽  
Amy L. Oldenburg ◽  
James J. Norman ◽  
Tejal A. Desai ◽  
Stephen A. Boppart

1999 ◽  
Vol 82 (4) ◽  
pp. 482-484 ◽  
Author(s):  
Karin Penkner ◽  
Gerd Santler ◽  
Wolfgang Mayer ◽  
Gerhard Pierer ◽  
Martin Lorenzoni

PLoS ONE ◽  
2019 ◽  
Vol 14 (4) ◽  
pp. e0215681 ◽  
Author(s):  
Shogo Komiyama ◽  
Ryosuke Miyasaka ◽  
Keiichiro Kikukawa ◽  
Roslyn Hayman

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