Optical Projection Tomography Imaging of Single Cells in 3D Gellan Gum Hydrogel

Author(s):  
Birhanu Belay ◽  
Janne T. Koivisto ◽  
Kaisa Vuornos ◽  
Toni Montonen ◽  
Olli Koskela ◽  
...  
2011 ◽  
Vol 2011 (6) ◽  
pp. pdb.prot5639-pdb.prot5639 ◽  
Author(s):  
L. Quintana ◽  
J. Sharpe

2004 ◽  
Author(s):  
Mark Fauver ◽  
Eric J. Seibel ◽  
J. R. Rahn ◽  
Florence W. Patten ◽  
Alan C. Nelson

2009 ◽  
Vol 14 (6) ◽  
pp. 064035 ◽  
Author(s):  
Qin Miao ◽  
J. Richard Rahn ◽  
Anna Tourovskaia ◽  
Michael G. Meyer ◽  
Thomas Neumann ◽  
...  

2018 ◽  
Author(s):  
Mario Giorgi ◽  
Vivien Sotiriou ◽  
Niccolo’ Fanchini ◽  
Simone Conigliaro ◽  
Cristina Bignardi ◽  
...  

AbstractJoint morphogenesis is the process during which distinct and functional joint shapes emerge during pre- and post-natal joint development. In this study, a repeatable semi-automatic protocol capable of providing a 3D realistic developmental map of the prenatal mouse knee joint was designed by combining Optical Projection Tomography imaging (OPT) and a deformable registration algorithm (Sheffield Image Registration toolkit, ShIRT). Eleven left limbs of healthy murine embryos were scanned with OPT (voxel size: 14.63¼m) at two different stages of development: Theiler stage (TS) 23 (approximately 14.5 embryonic days) and 24 (approximately 15.5 embryonic days). One TS23 limb was used to evaluate the precision of the displacement predictions for this specific case. The remaining limbs were then used to estimate Developmental Tibia and Femur Maps. Acceptable uncertainties of the displacement predictions were found for both epiphyses (between 0.7 and 1.4 μm, along all directions and anatomical sites) for nodal spacing of 1 voxel. The protocol was found to be reproducible with maximum Modified Housdorff Distance differences equal to 1.9 μm and 1.5 μm for the tibial and femoral epiphyses respectively. The effect of the initial shape of the rudiment affected the developmental maps by 21.7 μm and 21.9 μm for the tibial and femoral epiphyses respectively, which correspond to 1.4 and 1.5 times the voxel size. To conclude, this study proposes a repeatable semi-automatic protocol capable of providing mean 3D realistic developmental map of a developing rudiment allowing researchers to study how growth and adaptation are directed by biological and mechanobiological factors.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Birhanu Belay ◽  
Janne T. Koivisto ◽  
Jenny Parraga ◽  
Olli Koskela ◽  
Toni Montonen ◽  
...  

AbstractAssessing cell morphology and function, as well as biomaterial performance in cell cultures, is one of the key challenges in cell biology and tissue engineering (TE) research. In TE, there is an urgent need for methods to image actual three-dimensional (3D) cell cultures and access the living cells. This is difficult using established optical microscopy techniques such as wide-field or confocal microscopy. To address the problem, we have developed a new protocol using Optical Projection Tomography (OPT) to extract quantitative and qualitative measurements from hydrogel cell cultures. Using our tools, we demonstrated the method by analyzing cell response in three different hydrogel formulations in 3D with 1.5 mm diameter samples of: gellan gum (GG), gelatin functionalized gellan gum (gelatin-GG), and Geltrex. We investigated cell morphology, density, distribution, and viability in 3D living cells. Our results showed the usability of the method to quantify the cellular responses to biomaterial environment. We observed that an elongated morphology of cells, thus good material response, in gelatin-GG and Geltrex hydrogels compared with basic GG. Our results show that OPT has a sensitivity to assess in real 3D cultures the differences of cellular responses to the properties of biomaterials supporting the cells.


Langmuir ◽  
2016 ◽  
Vol 32 (20) ◽  
pp. 5173-5182 ◽  
Author(s):  
Ana M. Soto ◽  
Janne T. Koivisto ◽  
Jenny E. Parraga ◽  
Joana Silva-Correia ◽  
Joaquim M. Oliveira ◽  
...  

Author(s):  
Andrea Bassi ◽  
Daniele Brida ◽  
Cosimo D’Andrea ◽  
Gianluca Valentini ◽  
Sandro De Silvestri ◽  
...  

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