View source: R/cellCounterSingleFrame.R
| cellCounterSingleFrame | R Documentation | 
count the cells from a single frame tiff file and output xml for imageJ
cellCounterSingleFrame(
  file,
  channels = c("red", "green", "blue"),
  formula,
  maskValue = 0.3,
  offset = 0.1,
  cellSizeRange = c(10, 1000),
  xmlfile = sub("\\.(tiff|tif)$", ".cellCounter.xml", file, ignore.case = TRUE),
  imageFilename = sub("\\.(tiff|tif)$", ".czi", basename(file), ignore.case = TRUE),
  adjustPipeline = c(ScurveAdjust),
  detectFun = detectObjects,
  saveAdjustImage = NULL,
  silence = FALSE,
  ...
)
| file | tiff file name | 
| channels | channel to be detected | 
| formula | the relationship of channels. Here '*'=='intersect' and '+'=='contain' eg. blue*green+red means the cell must have blue and green, and red is in the cell. blue*green-red means the cell must have blue and green, and red is NOT in the cell. blue*green means the cell must have blue and green blue+red means the cell must have blue, and red is in the cell. | 
| maskValue | the cutoff value for set the mask is TRUE. | 
| offset | the offset of color from background, (0, 1). | 
| cellSizeRange | cell size range | 
| xmlfile | filename of xml | 
| imageFilename | filename of the original czi file | 
| adjustPipeline | adjust pipeline before cell detection | 
| detectFun | the function used to detect the cell, see detectObjects, detectObjects2. | 
| saveAdjustImage | the file name for adjusted image. NULL to ignore saveing. | 
| silence | output the message or not | 
| ... | parameters could be used in the pipeline | 
Jianhong Ou
library(EBImage)
library(scales)
library(XML)
cellCounterSingleFrame(system.file("extdata", "low.jpg", package="cellCounter"), 
formula="blue+red", xmlfile="low.xml", imageFilename="low.jpg")
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