Free Form Deformation-Based Image Registration Improves Accuracy of Traction Force Microscopy.
Traction Force Microscopy (TFM) is a widespread method used to recover cellular tractions from the deformation that they cause in their surrounding substrate. Particle Image Velocimetry (PIV) is commonly used to quantify the substrate's deformations, due to its simplicity and efficiency. Howeve...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2015-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC4671587?pdf=render |
| _version_ | 1818595240868577280 |
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| author | Alvaro Jorge-Peñas Alicia Izquierdo-Alvarez Rocio Aguilar-Cuenca Miguel Vicente-Manzanares José Manuel Garcia-Aznar Hans Van Oosterwyck Elena M de-Juan-Pardo Carlos Ortiz-de-Solorzano Arrate Muñoz-Barrutia |
| author_facet | Alvaro Jorge-Peñas Alicia Izquierdo-Alvarez Rocio Aguilar-Cuenca Miguel Vicente-Manzanares José Manuel Garcia-Aznar Hans Van Oosterwyck Elena M de-Juan-Pardo Carlos Ortiz-de-Solorzano Arrate Muñoz-Barrutia |
| author_sort | Alvaro Jorge-Peñas |
| collection | DOAJ |
| description | Traction Force Microscopy (TFM) is a widespread method used to recover cellular tractions from the deformation that they cause in their surrounding substrate. Particle Image Velocimetry (PIV) is commonly used to quantify the substrate's deformations, due to its simplicity and efficiency. However, PIV relies on a block-matching scheme that easily underestimates the deformations. This is especially relevant in the case of large, locally non-uniform deformations as those usually found in the vicinity of a cell's adhesions to the substrate. To overcome these limitations, we formulate the calculation of the deformation of the substrate in TFM as a non-rigid image registration process that warps the image of the unstressed material to match the image of the stressed one. In particular, we propose to use a B-spline -based Free Form Deformation (FFD) algorithm that uses a connected deformable mesh to model a wide range of flexible deformations caused by cellular tractions. Our FFD approach is validated in 3D fields using synthetic (simulated) data as well as with experimental data obtained using isolated endothelial cells lying on a deformable, polyacrylamide substrate. Our results show that FFD outperforms PIV providing a deformation field that allows a better recovery of the magnitude and orientation of tractions. Together, these results demonstrate the added value of the FFD algorithm for improving the accuracy of traction recovery. |
| first_indexed | 2024-12-16T11:12:53Z |
| format | Article |
| id | doaj.art-7b6872590146427aba1d4400d2fd6175 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-16T11:12:53Z |
| publishDate | 2015-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-7b6872590146427aba1d4400d2fd61752022-12-21T22:33:40ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-011012e014418410.1371/journal.pone.0144184Free Form Deformation-Based Image Registration Improves Accuracy of Traction Force Microscopy.Alvaro Jorge-PeñasAlicia Izquierdo-AlvarezRocio Aguilar-CuencaMiguel Vicente-ManzanaresJosé Manuel Garcia-AznarHans Van OosterwyckElena M de-Juan-PardoCarlos Ortiz-de-SolorzanoArrate Muñoz-BarrutiaTraction Force Microscopy (TFM) is a widespread method used to recover cellular tractions from the deformation that they cause in their surrounding substrate. Particle Image Velocimetry (PIV) is commonly used to quantify the substrate's deformations, due to its simplicity and efficiency. However, PIV relies on a block-matching scheme that easily underestimates the deformations. This is especially relevant in the case of large, locally non-uniform deformations as those usually found in the vicinity of a cell's adhesions to the substrate. To overcome these limitations, we formulate the calculation of the deformation of the substrate in TFM as a non-rigid image registration process that warps the image of the unstressed material to match the image of the stressed one. In particular, we propose to use a B-spline -based Free Form Deformation (FFD) algorithm that uses a connected deformable mesh to model a wide range of flexible deformations caused by cellular tractions. Our FFD approach is validated in 3D fields using synthetic (simulated) data as well as with experimental data obtained using isolated endothelial cells lying on a deformable, polyacrylamide substrate. Our results show that FFD outperforms PIV providing a deformation field that allows a better recovery of the magnitude and orientation of tractions. Together, these results demonstrate the added value of the FFD algorithm for improving the accuracy of traction recovery.http://europepmc.org/articles/PMC4671587?pdf=render |
| spellingShingle | Alvaro Jorge-Peñas Alicia Izquierdo-Alvarez Rocio Aguilar-Cuenca Miguel Vicente-Manzanares José Manuel Garcia-Aznar Hans Van Oosterwyck Elena M de-Juan-Pardo Carlos Ortiz-de-Solorzano Arrate Muñoz-Barrutia Free Form Deformation-Based Image Registration Improves Accuracy of Traction Force Microscopy. PLoS ONE |
| title | Free Form Deformation-Based Image Registration Improves Accuracy of Traction Force Microscopy. |
| title_full | Free Form Deformation-Based Image Registration Improves Accuracy of Traction Force Microscopy. |
| title_fullStr | Free Form Deformation-Based Image Registration Improves Accuracy of Traction Force Microscopy. |
| title_full_unstemmed | Free Form Deformation-Based Image Registration Improves Accuracy of Traction Force Microscopy. |
| title_short | Free Form Deformation-Based Image Registration Improves Accuracy of Traction Force Microscopy. |
| title_sort | free form deformation based image registration improves accuracy of traction force microscopy |
| url | http://europepmc.org/articles/PMC4671587?pdf=render |
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