AFM feature definition for neural cells on nanofibrillar tissue scaffolds

Volkan M. Tiryaki*, Adeel A. Khan, Virginia M. Ayres

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

A diagnostic approach is developed and implemented that provides clear feature definition in atomic force microscopy (AFM) images of neural cells on nanofibrillar tissue scaffolds. Because the cellular edges and processes are on the same order as the background nanofibers, this imaging situation presents a feature definition problem. The diagnostic approach is based on analysis of discrete Fourier transforms of standard AFM section measurements. The diagnostic conclusion that the combination of dynamic range enhancement with low-frequency component suppression enhances feature definition is shown to be correct and to lead to clear-featured images that could change previously held assumptions about the cell-cell interactions present. Clear feature definition of cells on scaffolds extends the usefulness of AFM imaging for use in regenerative medicine. SCANNING 34: 316-324, 2012.

Original languageEnglish
Pages (from-to)316-324
Number of pages9
JournalScanning
Volume34
Issue number5
DOIs
Publication statusPublished - Sept 2012
Externally publishedYes

Keywords

  • AFM/other scanned probe microscopies
  • image analysis
  • image processing
  • life sciences

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