Published August 17, 2016 | Version v1
Dataset Open

Atomic Force Microscopy Images of Various Specimens

  • 1. Keysight Technologies

Description

This data set consists of ten atomic force microscopy images in MI format as well as corresponding previews in PNG format.

The microscopy images are of various materials and have been scanned with AFM equipment from Keysight Technologies. Details on the individual images:

  • image_7.mi - calibration grid with 5 µm pitch size
  • image_8.mi - Celgard (a polymer membrane used in batteries)
  • image_9.mi - Titanium-Tungsten film
  • image_10.mi - AFM image
  • image_11.mi - self-assembled monolayer of lipids on gold
  • image_12.mi - capacity calibration sample for Scanning Microwave Microscopy imaging
  • image_13.mi - capacity calibration sample for Scanning Microwave Microscopy imaging
  • image_14.mi - PS-LDPE-12M (a polymer blend of Polystyrene and Polyolefin Elastomere)
  • image_15.mi - AFM Calibration grid
  • image_16.mi - AFM Calibration grid

The images can be opened using, e.g. Gwyddion: http://gwyddion.net/
The Python package Magni can be used to load the images into Python (using the magni.afm.io module): https://github.com/SIP-AAU/Magni

The images are provided as-is without warranty of any kind.

Files

image_10.png

Files (29.3 MB)

Name Size Download all
md5:28721367516a20ea31e75c00f3b5ce0c
3.1 MB Download
md5:b9db7ec8c282fc0f93811c9540c36443
42.8 kB Preview Download
md5:7ebc8f25cf4ba4f6bf722dce27622360
655.9 kB Download
md5:9f0a73549e5a92a8e4a3408387f65053
26.2 kB Preview Download
md5:bd01764ed7ae0169cc543fc399c762cf
787.1 kB Download
md5:3b2e0ca04d669887b2a8108208799f6c
27.4 kB Preview Download
md5:0aa8b4488c5db7fd391128b82c5b3f54
524.8 kB Download
md5:f35b75be4164b911a5478fc23c8cd784
27.8 kB Preview Download
md5:2062bf84fcad3b0ee7d0b04b1d7064ab
2.1 MB Download
md5:634694b3914f5cbce8bf67ecfb2c80a0
39.3 kB Preview Download
md5:fdd16e5c54a147c457af6568ce602698
8.6 MB Download
md5:1bec68e73352ef27c4b7dc0dd5990fb0
33.7 kB Preview Download
md5:12c71a620bd18638bb590ee782bf15ab
6.3 MB Download
md5:18d2ebb1293fcbe809170d22a0ce4216
32.6 kB Preview Download
md5:d20175f3de3732e217f6c8000e8e105a
2.1 MB Download
md5:8b04e8dd24e750843fa144f471ed4ea2
54.7 kB Preview Download
md5:f2567c28dbd2561a064f3b5b5faf31a1
2.1 MB Download
md5:79f0a79e2878246ec72812834122d08a
51.1 kB Preview Download
md5:dc07f9619b5b954e2b0a0baa874216ff
2.6 MB Download
md5:6f83ecbd7da21b1651597ff940205923
56.9 kB Preview Download
md5:0b72c3bb419198055e3cb2dd69177861
457 Bytes Preview Download
md5:889a90bdab1238d01508d171fe15fba0
777 Bytes Preview Download

Additional details

Related works

Is supplement to
10.5281/zenodo.17573 (DOI)