AFM.artificialImage: Create an artificial AFMdata object

In thomasgredig/nanoscopeAFM: Load and Analyze Atomic Force Microscopy Data Files

Create an artificial AFMdata object

Description

generates an AFMdata object, which is sometimes useful for testing algorithms or models or to explore AFM data numerically.

Usage

AFM.artificialImage(
  width = 10,
  height = 10,
  minZ = 0,
  maxZ = 100,
  imageWidth = 1000,
  imageHeight = 1000,
  type = c("random", "gradient", "calibration"),
  addNoise = TRUE,
  verbose = TRUE
)

Arguments

width	width in pixels
height	height in pixels
minZ	minimum z height
maxZ	maximum z height
imageWidth	width of image in nm
imageHeight	height of image in nm
type	can be random gradient calibration
addNoise	if TRUE, add a bit of noise to the data
verbose	if TRUE, output additional information

Value

AFMdata object

Author(s)

Thomas Gredig

Examples

a = AFM.artificialImage(type='calibration')
plot(a)

thomasgredig/nanoscopeAFM documentation built on Jan. 4, 2023, 1:33 p.m.