Traction microscopy to identify force modulation in subresolution adhesions
Nature methods, 2015•nature.com
We present a reconstruction algorithm that resolves cellular tractions in diffraction-limited
nascent adhesions (NAs). The enabling method is the introduction of sparsity regularization
to the solution of the inverse problem, which suppresses noise without underestimating
traction magnitude. We show that NAs transmit a distinguishable amount of traction and that
NA maturation depends on traction growth rate. A software package implementing this
numerical approach is provided.
nascent adhesions (NAs). The enabling method is the introduction of sparsity regularization
to the solution of the inverse problem, which suppresses noise without underestimating
traction magnitude. We show that NAs transmit a distinguishable amount of traction and that
NA maturation depends on traction growth rate. A software package implementing this
numerical approach is provided.
Abstract
We present a reconstruction algorithm that resolves cellular tractions in diffraction-limited nascent adhesions (NAs). The enabling method is the introduction of sparsity regularization to the solution of the inverse problem, which suppresses noise without underestimating traction magnitude. We show that NAs transmit a distinguishable amount of traction and that NA maturation depends on traction growth rate. A software package implementing this numerical approach is provided.
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