Micropatterns of an extracellular matrix protein with defined information content

Jeffrey L. Werbin, William F. Heinz, Lewis H. Romer, Jan H. Hoh

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


One powerful approach to understanding how cells process spatially variant signals is based on using micropatterned substrates to control the distribution of signaling molecules. However, quantifying spatially complex signals requires an appropriate metric. Here we propose that the Shannon information theory formalism provides a robust and useful way to quantify the organization of proteins in micropatterned systems. To demonstrate the use of informational entropy as a metric, we produced patterns of lines of fibronectin with varying information content. Fibroblasts grown on these patterns were sensitive to very small changes in informational entropy (6.6 bits), and the responses depended on the scale of the pattern.

Original languageEnglish (US)
Pages (from-to)10883-10886
Number of pages4
Issue number22
StatePublished - Oct 23 2007

ASJC Scopus subject areas

  • General Materials Science
  • Condensed Matter Physics
  • Surfaces and Interfaces
  • Spectroscopy
  • Electrochemistry


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