| MSImagingInfo-class {Cardinal} | R Documentation |
The MSImagingInfo class is designed to contain metadata for reading/writing Cardinal objects from/to imzML files.
length(object):The number of scans (i.e., the number of mass spectra).
scans(object):Access the scan list metadata for writing to imzML.
mzData(object):Access the m/z array list metadata for writing to imzML.
intensityData(object):Access the intensity array list metadata for writing to imzML.
isCentroided(object):Check whether the mass spectra are centroided.
normalization(object), normalization(object) <- value:Accessor and setter function for the normalization.
smoothing(object), smoothing(object) <- value:Accessor and setter function for the smoothing.
baselineReduction(object), baselineReduction(object) <- value:Accessor and setter function for the baselineReduction.
peakPicking(object), peakPicking(object) <- value:Accessor and setter function for the peakPicking.
spectrumRepresentation(object), spectrumRepresentation(object) <- value:Accessor and setter function for the spectrumRepresentation.
matrixApplication(object):Accessor function for matrixApplication.
pixelSize(object):Accessor function for pixelSize.
instrumentModel(object):Accessor function for instrumentModel.
instrumentVendor(object):Accessor function for instrumentVendor.
massAnalyzerType(object):Accessor function for massAnalyzerType.
ionizationType(object):Accessor function for ionizationType.
scanPolarity(object):Accessor function for scanPolarity.
scanType(object):Accessor function for scanType.
scanPattern(object):Accessor function for scanPattern.
scanDirection(object):Accessor function for scanDirection.
lineScanDirection(object):Accessor function for lineScanDirection.
Kylie A. Bemis
Schramm T, Hester A, Klinkert I, Both J-P, Heeren RMA, Brunelle A, Laprevote O, Desbenoit N, Robbe M-F, Stoeckli M, Spengler B, Rompp A (2012) imzML - A common data format for the flexible exchange and processing of mass spectrometry imaging data. Journal of Proteomics 75 (16):5106-5110. doi:10.1016/j.jprot.2012.07.026
mz <- mz(from=200, to=220, by=400)
coord <- expand.grid(x=1:3, y=1:3)
data <- matrix(runif(length(mz) * nrow(coord)),
nrow=length(mz), ncol=nrow(coord))
x <- MSImagingExperiment(
imageData=ImageArrayList(data),
featureData=MassDataFrame(mz=mz),
pixelData=PositionDataFrame(coord=coord))
msiInfo(x)