Traction microscopy to identify force modulation in subresolution adhesions

Sangyoon J. Han, Youbean Oak, Alex Groisman, Gaudenz Danuser

Research output: Contribution to journalArticle

35 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)653-656
Number of pages4
JournalNature Methods
Volume12
Issue number7
DOIs
StatePublished - Jun 30 2015

Fingerprint

Traction
Microscopy
Microscopic examination
Adhesion
Modulation
Inverse problems
Software packages
Diffraction
Noise
Software
Growth

ASJC Scopus subject areas

  • Biotechnology
  • Molecular Biology
  • Biochemistry
  • Cell Biology

Cite this

Traction microscopy to identify force modulation in subresolution adhesions. / Han, Sangyoon J.; Oak, Youbean; Groisman, Alex; Danuser, Gaudenz.

In: Nature Methods, Vol. 12, No. 7, 30.06.2015, p. 653-656.

Research output: Contribution to journalArticle

Han, Sangyoon J. ; Oak, Youbean ; Groisman, Alex ; Danuser, Gaudenz. / Traction microscopy to identify force modulation in subresolution adhesions. In: Nature Methods. 2015 ; Vol. 12, No. 7. pp. 653-656.
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