Analysis of nanoparticle Transmission Electron Microscopy data using a public-domain image-processing program, Image

Woehrle G., Hutchison J., Ozkar S., Finke R.

TURKISH JOURNAL OF CHEMISTRY, cilt.30, sa.1, ss.1-13, 2006 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 30 Sayı: 1
  • Basım Tarihi: 2006
  • Dergi Adı: TURKISH JOURNAL OF CHEMISTRY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.1-13
  • Anahtar Kelimeler: nanoparticles, particle size distributions, Transmission Electron Microscopy, image analysis, Image (NIH-Image, Scion Image, Image J), histograms, STABILIZED METAL-CLUSTERS, NANOCLUSTER FORMATION, PALLADIUM CLUSTERS, SIZE DISTRIBUTIONS, GOLD NANOPARTICLES, CONTROLLED GROWTH, COLLOIDS, POLYOXOANION, CATALYSIS, FUTURE
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

The need to easily and quickly count larger numbers of nanoparticles, in order to obtain statistically useful size and size-distribution data, is addressed via the use of a readily available, free, public-domain program for particle counting, NIH-Image (and 2 others derived from it, Scion Image and Image J), collectively referred to herein as Image. The best protocols that we have found useful for the use of Image are reported; both appropriate as well as problematic applications of Image are then illustrated with a series of TEM images of Ir(0), Pd(0) and Au(0) nanoclusters. Methods to detect and image nanoclusters with sub-1-nm core diameters are reported and illustrated in the literature with An nanoclusters, an important problem since the literature indicates that subnanometer An nanoclusters are often present, but undetected. A list of suggestions and caveats for the appropriate use of Image is also provided, since this contribution is directed at first-time users who are not presently using nanoparticle imaging software. The reader is also reminded of several, well-known caveats for the use of TEM in obtaining size data for nanostructures. Overall, Image is a free, public-domain program that is useful for the rapid counting of large numbers of particles.