/// <summary> /// The function gets the binsize /// </summary> /// <param name="scanfilesize">Size of the .scan file</param> /// <param name="pointsInXDirection">Points in X Direction</param> /// <param name="pointsInYDirection">Poitns in Y Direction</param> private void GetBinSize(long scanfilesize, float pointsInXDirection, float pointsInYDirection) { // 1) We only want to do binning for files bigger than 100MB filesize > pathfilesize string appPath = Application.StartupPath; appPath += "\\ApplicationSettings.xml"; int filesizelimit = this.GetPathFileSizeLimit(appPath); if (scanfilesize > filesizelimit) { // 2) Open up BinNumberWindow MassRange massRange = this.msexperiment.Details.MassRangeInfo[0]; var fullScanMassRange = massRange as FullScanMassRange; if (fullScanMassRange != null) { var binNumberWindow = new BinNumberWindow(pointsInXDirection, pointsInYDirection, this.masscal); if (binNumberWindow.ShowDialog() == true) { if (binNumberWindow.BinSize > 0) { this.binsize = binNumberWindow.BinSize; } } } } }
public double GetPrecusorMz(int spectrumNumber, double searchMZ, int msnOrder = 2) { int parentScanNumber = GetParentSpectrumNumber(spectrumNumber); var ms1Scan = GetSpectrum(parentScanNumber); MZPeak peak = ms1Scan.GetClosestPeak(MassRange.FromDa(searchMZ, 50)); if (peak != null) { return(peak.MZ); } return(double.NaN); }
/// <summary> /// Fills this instance data members with the information read from <paramref name="wiffFile"/>. /// </summary> /// <param name="wiffFile">A <see cref="FMANWiffFileClass"/> instance. The data source.</param> protected override void Initialize(FMANWiffFileClass wiffFile) { // get experiment object and the experiment parameters ITripleQuadMALDI experimentParams = (ITripleQuadMALDI)wiffFile.GetExperimentObject(WiffPeriod.Sample.Index, WiffPeriod.Index, Index); Experiment experiment = (Experiment)wiffFile.GetExperimentObject(WiffPeriod.Sample.Index, WiffPeriod.Index, Index); MassRange massRange = (MassRange)experiment.GetMassRange(0); minMass = massRange.QstartMass; // anaSpec.GetStartMass(); maxMass = massRange.QstopMass; // anaSpec.GetStopMass(); massStepSize = massRange.QstepMass; //anaSpec.StepSize; // get the number of MS data points massSpecDataPoints = (int)((maxMass - minMass) / massStepSize + 1); // select 1. data points FMANChromData chrom = new FMANChromData(); chrom.WiffFileName = wiffFile.GetWiffFileName(); chrom.SetToTIC(WiffPeriod.Sample.Index, WiffPeriod.Index, Index); // dimension the data arrray nrDataPoints = chrom.GetNumberOfDataPoints(); rawData = new float[nrDataPoints]; timeData = new float[nrDataPoints]; //loop through the mass ranges massRangeName = "TIC " + minMass.ToString() + " - " + maxMass.ToString(); double xValue = chrom.GetDataPointXValue(1); double yValue = chrom.GetDataPointYValue(1); massRangeMax = double.MinValue; massRangeMin = double.MaxValue; timeOffset = xValue * 1000; // helper for mean and median double meanSum = 0; List <float> valuesForMedian = new List <float>(); // read the data... for (int actDataPoint = 1; actDataPoint <= nrDataPoints; actDataPoint++) { // get the actual value... xValue = chrom.GetDataPointXValue(actDataPoint); yValue = chrom.GetDataPointYValue(actDataPoint); // and copy it to our local data structur rawData[actDataPoint - 1] = (float)yValue; timeData[actDataPoint - 1] = (float)xValue * 60; // keep track of the extrema if (yValue < massRangeMin) { massRangeMin = yValue; } if (yValue > massRangeMax) { massRangeMax = yValue; } // mean and median calculation... // sum up the value to calculate the mean meanSum += yValue; // fill an extra array to calculate the median valuesForMedian.Add((float)yValue); } // calculate the mean meanValue = (float)(meanSum / nrDataPoints); // calculate the median valuesForMedian.Sort(); medianValue = ((valuesForMedian.Count % 2) == 0) ? (float)(valuesForMedian[(valuesForMedian.Count / 2) - 1] + valuesForMedian[valuesForMedian.Count / 2]) / 2.0f : valuesForMedian[valuesForMedian.Count / 2]; #if (false) // analyze the timing values in timeData List <float> timeSpans = new List <float>(); for (int i = 1; i < timeData.Length; i++) { timeSpans.Add(timeData[i] - timeData[i - 1]); } float tMean = 0; float tMedian = 0; timeSpans.Sort(); foreach (float ts in timeSpans) { tMean += ts; } tMean = tMean / timeSpans.Count; tMedian = ((timeSpans.Count % 2) == 0) ? (float)(timeSpans[(timeSpans.Count / 2) - 1] + timeSpans[timeSpans.Count / 2]) / 2.0f : timeSpans[timeSpans.Count / 2]; #endif // fetch the x1, x2, y1, y2, width and height from the WiffSample instance this experiment belongs to. double x1 = WiffPeriod.Sample.P1.X; double y1 = WiffPeriod.Sample.P1.Y; double x2 = WiffPeriod.Sample.P2.X; double y2 = WiffPeriod.Sample.P2.Y; double width = WiffPeriod.Sample.Width; double height = WiffPeriod.Sample.Height; //get MALDI parmas and assign variables string strMALDIParams = experimentParams.TripleQuadMALDIParameters; // x speed in mm/s xSpeed = float.Parse(strMALDIParams.Split(sepMALDIParams, System.StringSplitOptions.None)[6]); //line distance in mm yDist = float.Parse(strMALDIParams.Split(sepMALDIParams, System.StringSplitOptions.None)[8]) / 1000; //time per point in s xTime = (float)((chrom.GetDataPointXValue(nrDataPoints) - chrom.GetDataPointXValue(2)) * 60 / (nrDataPoints - 2)); xDist = (float)(int)(xSpeed * xTime * 1000) / 1000; //number of poins in x xPoints = (int)((width) / xSpeed / xTime); // fetch the position data from the WiffSample instance this experiment belongs to. uint[,] posData = WiffPeriod.Sample.PositionData; long posDataLength = WiffPeriod.Sample.PositionDataLength; // try and find the first and last valid indices in the posData, where valid means a nonzero time value... long firstNonZeroTimeInPos = -1; for (long t = 0; t < posDataLength - 1; t++) { if (posData[t, 0] > 0) { firstNonZeroTimeInPos = t; // ok, we're done... break; } } long lastNonZeroTimeInPos = -1; for (long t = posDataLength - 1; t >= 0; t++) { if (posData[t, 0] > 0) { lastNonZeroTimeInPos = t; // ok, we're done... break; } } if (firstNonZeroTimeInPos < 0 || lastNonZeroTimeInPos < 0) { // haven't found a valid posData triplet. All time values are zero or less... // bail out return; } // y2 from the wiff file is not the actual y2 from the stage - replace with value from path file... y2 = (double)Math.Round((decimal)posData[lastNonZeroTimeInPos, 2] / 1000, 2); // ...and this has an effect of the ypoints yPoints = (int)Math.Round((decimal)((y2 - y1) / yDist)) + 1; double timeSpanPos = posData[lastNonZeroTimeInPos, 0] / 1000.0 - posData[firstNonZeroTimeInPos, 0] / 1000.0; if (yPoints % 2 == 0) { // even number of scanlines lineBreak = (timeSpanPos - (x2 - (float)posData[firstNonZeroTimeInPos, 1] / 1000) / xSpeed - (yPoints - 2) * (width) / xSpeed - (x2 - (float)posData[lastNonZeroTimeInPos, 1] / 1000) / xSpeed) / (yPoints - 1); } else { // odd number of scanlines lineBreak = (timeSpanPos - (x2 - (float)posData[firstNonZeroTimeInPos, 1] / 1000) / xSpeed - (yPoints - 2) * (width) / xSpeed - ((float)posData[lastNonZeroTimeInPos, 1] / 1000 - x1) / xSpeed) / (yPoints - 1); } lineBreak = lineBreak / xTime; timeOffset = (float)posData[firstNonZeroTimeInPos, 0] / 1000 - (((float)posData[firstNonZeroTimeInPos, 1] / 1000 - x1) / xSpeed); lineOffset = (5 - (timeData[5] - timeOffset) / xTime) + 1; /////////////////////////////////////////////////////////////////////////////////////////////////////// // TIC throughout the total massrange... /////////////////////////////////////////////////////////////////////////////////////////////////////// // format the data into a rectangular, 2 dimensional array of floats that will represent the image data // AppContext.ProgressStart("formating image data..."); // prepare the data structure float[][] dataTIC; try { dataTIC = new float[xPoints][]; for (int i = 0; i < dataTIC.Length; i++) { dataTIC[i] = new float[yPoints]; } // copy the data from wiff file datastream to the rectangular array. Take account of the line offset and // the line break timings. for (int y = 0; y < yPoints; y++) { int currentPoint; // currentLine is the offset to the start of the current line in the linear datastream (rawData) int currentLine = (int)Math.Floor(Math.Abs(lineOffset + ((x2 - x1) / xSpeed / xTime + lineBreak) * y)); for (int x = 0; x < xPoints; x++) { if (y % 2 == 0) { // even y: scan direction: --> currentPoint = (int)(currentLine + x); } else { // odd y: scan direction: <-- currentPoint = (int)(currentLine + xPoints - 1 - x); } if (currentPoint < nrDataPoints) { dataTIC[x][y] = rawData[currentPoint]; } else { dataTIC[x][y] = 0; } } AppContext.ProgressSetValue(100.0 * y / yPoints); } } finally { AppContext.ProgressClear(); } // create the appropriate dataset and add it to the WiffFileContent object... string imgName = WiffPeriod.Sample.Name + " : " + massRangeName; Document doc = WiffPeriod.Sample.WiffFileContent.Document; //create the meta information data structure and populate with relevant information... ImageMetaData metaData = new ImageMetaData(); try { metaData.Add("Sample Name", typeof(string), WiffPeriod.Sample.Name, false); metaData.Add("Mass Range", typeof(string), massRangeName, false); string[] splitted = strMALDIParams.Split(sepMALDIParams, System.StringSplitOptions.None); metaData.Add("Laser Frequency (Hz)", typeof(string), splitted[1], false); metaData.Add("Laser Power (%)", typeof(string), splitted[2], false); metaData.Add("Ablation Mode", typeof(string), splitted[3], false); metaData.Add("Skimmer Voltage (V)", typeof(string), splitted[4], false); metaData.Add("Source Gas", typeof(string), splitted[5], false); metaData.Add("Raster Speed (mm/s)", typeof(string), splitted[6], false); metaData.Add("Raster Pitch", typeof(string), splitted[8], false); } catch (Exception e) { Util.ReportException(e); } ImageData imageTIC = new ImageData(doc, dataTIC, imgName, metaData, (float)massRangeMin, (float)massRangeMax, (float)meanValue, (float)medianValue, (float)xDist, (float)yDist, (float)minMass, (float)maxMass); /////////////////////////////////////////////////////////////////////////////////////////////////////// // Q1 spectrum scan... FMANSpecData spec = new FMANSpecData(); spec.WiffFileName = wiffFile.GetWiffFileName(); // prepare the data structure List <float[][]> dataList; List <ImageData> imageDataList; AppContext.ProgressStart("formating spectrum data..."); try { dataList = new List <float[][]>(); for (int i = 0; i < massSpecDataPoints; i++) { float[][] data = new float[xPoints][]; for (int j = 0; j < xPoints; j++) { data[j] = new float[yPoints]; } dataList.Add(data); } for (int y = 0; y < yPoints; y++) { int currentPoint; // currentLine is the offset to the start of the current line in the linear datastream (rawData) int currentLine = (int)Math.Floor(Math.Abs(lineOffset + ((x2 - x1) / xSpeed / xTime + lineBreak) * y)); for (int x = 0; x < xPoints; x++) { if (y % 2 == 0) { // even y: scan direction: --> currentPoint = (int)(currentLine + x); } else { // odd y: scan direction: <-- currentPoint = (int)(currentLine + xPoints - 1 - x); } if (currentPoint >= nrDataPoints) { continue; } float currentTime = (float)chrom.GetXValueInSec(currentPoint + 1); spec.SetSpectrum(WiffPeriod.Sample.Index, WiffPeriod.Index, Index, currentTime, currentTime); int specDataPoints = spec.GetNumberOfDataPoints(); for (int k = 1; k <= specDataPoints; k++) { int specIndex = (int)((spec.GetDataPointXValue(k) - minMass) / massStepSize + 0.4); dataList[specIndex][x][y] = (float)spec.GetDataPointYValue(k); } } AppContext.ProgressSetValue(100.0 * y / yPoints); } // create the list of imageData objects passed to the imageSpectrumData object on it's creation later on... imageDataList = new List <ImageData>(); for (int k = 0; k < massSpecDataPoints; k++) { float[][] specData = dataList[k]; float mass = (float)(minMass + (massStepSize * k)); imgName = WiffPeriod.Sample.Name + " : " + mass.ToString(); // TODO -- rethink if one should really calculate the mean, median, min, max etc. if the images aren't used for imaging but for export... float minInt = float.MaxValue; float maxInt = float.MinValue; float mean = 0; float median = 0; // helper for mean and median meanSum = 0; valuesForMedian.Clear(); { for (int x = 0; x < xPoints; x++) { for (int y = 0; y < yPoints; y++) { float value = specData[x][y]; // keep track of the extrema if (value < minInt) { minInt = value; } if (value > maxInt) { maxInt = value; } // mean and median calculation... // sum up the value to calculate the mean meanSum += value; // fill an extra array to calculate the median valuesForMedian.Add(value); } } } // calculate the mean mean = (float)(meanSum / (xPoints * yPoints)); // calculate the median valuesForMedian.Sort(); median = ((valuesForMedian.Count % 2) == 0) ? (float)(valuesForMedian[(valuesForMedian.Count / 2) - 1] + valuesForMedian[valuesForMedian.Count / 2]) / 2.0f : valuesForMedian[valuesForMedian.Count / 2]; // ok, now create the imageData and add to list... ImageData imageData = new ImageData(doc, specData, imgName, new ImageMetaData(), minInt, maxInt, mean, median, (float)xDist, (float)yDist, (float)0.0f, (float)mass); imageDataList.Add(imageData); } } finally { AppContext.ProgressClear(); } // now everything should be set to create the ImageSpectrumData object... imgName = WiffPeriod.Sample.Name + " SPECT " + minMass.ToString() + " - " + maxMass.ToString(); ImageSpectrumData imageSpectrum = new ImageSpectrumData(doc, imgName, new ImageMetaData(), imageDataList, (float)minMass, (float)maxMass, (float)massStepSize); imageSpectrum.ImageTIC = imageTIC; WiffPeriod.Sample.WiffFileContent.Add(imageSpectrum); #if (false) // TODO -- find out what to do with the 'globalMassMax' value float anaTime = (float)chrom.GetXValueInSec(nrDataPoints - 1); chrom.SetToBPC(WiffPeriod.Sample.Index, WiffPeriod.Index, Index, 0, anaTime, minMass, maxMass, 2 * massStepSize); double tempMass; chrom.GetYValueRange(out tempMass, out globalMassMax); chrom.SetToTIC(WiffPeriod.Sample.Index, WiffPeriod.Index, Index); #endif chrom.WiffFileName = ""; chrom = null; spec.WiffFileName = ""; spec = null; }
/// <summary> /// Fills this instance data members with the information read from <paramref name="inputMsExperiment"/> /// </summary> /// <param name="inputMsExperiment">Mass Spec Experiment</param> /// <param name="wiffsample">Wiff Sample</param> protected override void Initialize(MSExperiment inputMsExperiment, WiffSample wiffsample) { Cursor.Current = Cursors.WaitCursor; try { // (1) Get Maldi Parameters string strMaldiParams = wiffsample.MaldiParametersString; this.msexperiment = inputMsExperiment; // (2) Get the number of mass transitions - For MS experiments by default we will look at the first scan ([0]) MassRange massRange = this.msexperiment.Details.MassRangeInfo[0]; var fullScanMassRange = massRange as FullScanMassRange; if (fullScanMassRange != null) { this.minMass = fullScanMassRange.StartMass; this.maxMass = fullScanMassRange.EndMass; this.massStepSize = fullScanMassRange.StepSize; } this.massSpecDataPoints = (int)(((this.maxMass - this.minMass) / this.massStepSize) + 1); // (3) Populate masscal this.masscal = new float[this.massSpecDataPoints]; for (int i = 0; i < this.massSpecDataPoints; i++) { this.masscal[i] = (float)(this.minMass + (i * this.massStepSize)); } // (4) Select 1 trace XYData tic = this.msexperiment.GetTotalIonChromatogram(); // (5) Dimension the data array, the number "data points" this.numDataPoints = tic.NumDataPoints; this.rawData = new float[this.numDataPoints]; this.timeData = new float[this.numDataPoints]; // (6) mass range info this.massRangeName = "TIC " + this.msexperiment.Details.MassRangeInfo[0].Name; double actualXValue = tic.GetActualXValues()[0]; this.massRangeMax = double.MinValue; this.massRangeMin = double.MaxValue; this.timeOffset = actualXValue * 1000; // helper for mean and median double meanSum = 0; var valuesForMedian = new List <float>(); // (7) read the data... for (int actDataPoint = 0; actDataPoint < this.numDataPoints; actDataPoint++) { // get the actual value... actualXValue = tic.GetActualXValues()[actDataPoint]; double actualYValue = tic.GetActualYValues()[actDataPoint]; // and copy it to our local data structure this.rawData[actDataPoint] = (float)actualYValue; this.timeData[actDataPoint] = (float)actualXValue * 60; // keep track of the extrema if (actualYValue < this.massRangeMin) { this.massRangeMin = actualYValue; } if (actualYValue > this.massRangeMax) { this.massRangeMax = actualYValue; } // mean and median calculation... sum up the value to calculate the mean meanSum += actualYValue; // fill an extra array to calculate the median valuesForMedian.Add((float)actualYValue); } // (8) Calculate the mean this.meanValue = (float)(meanSum / this.numDataPoints); // (9) Calculate the median valuesForMedian.Sort(); this.medianValue = ((valuesForMedian.Count % 2) == 0) ? (valuesForMedian[(valuesForMedian.Count / 2) - 1] + valuesForMedian[valuesForMedian.Count / 2]) / 2.0f : valuesForMedian[valuesForMedian.Count / 2]; // (10) fetch the x1, x2, y1, y2, width and height from the WiffSample instance this experiment belongs to. this.x1 = wiffsample.P1.X; this.y2 = 82 - wiffsample.P1.Y; this.x2 = wiffsample.P2.X; this.width = wiffsample.Width; // (11) time per point in s this.timeinXDirection = (float)((tic.GetActualXValues()[this.numDataPoints - 1] - tic.GetActualXValues()[1]) * 60 / (this.numDataPoints - 2)); // (12) fetch the position data from the WiffSample instance this experiment belongs to. uint[,] posData = wiffsample.PositionData; long posDataLength = wiffsample.PositionDataLength; // try and find the first and last valid indices in the posData, where valid means a nonzero time value... long firstNonZeroTimeInPos = -1; for (long t = 0; t < posDataLength - 1; t++) { if (posData[t, 0] > 0) { firstNonZeroTimeInPos = t; break; } } long lastNonZeroTimeInPos = -1; for (long t = posDataLength - 1; t >= 0; t++) { if (posData[t, 0] > 0) { lastNonZeroTimeInPos = t; break; } } if (firstNonZeroTimeInPos < 0 || lastNonZeroTimeInPos < 0) { // haven't found a valid posData triplet. All time values are zero or less... bail out (Put in an Error Message here?) return; } // (13) Distance in Y direction this.distInYDirection = 0; for (long t = firstNonZeroTimeInPos; t < lastNonZeroTimeInPos; t++) { if ((posData[t, 1] > ((this.x2 + this.x1) * 500)) & Equals(this.distInYDirection, 0.0)) { this.distInYDirection = posData[t, 2]; } if ((posData[t, 1] < ((this.x2 + this.x1) * 500)) & (this.distInYDirection > 0)) { this.distInYDirection = (float)Math.Round((decimal)(posData[t, 2] - this.distInYDirection) / 500, (int)(1 - Math.Log10((posData[t, 2] - this.distInYDirection) / 500))) / 2; break; } } // (14) calculate speed in x direction this.speedinXDirection = (float)Math.Round(((posData[firstNonZeroTimeInPos + 2, 1] - posData[firstNonZeroTimeInPos + 1, 1]) / (decimal)(posData[firstNonZeroTimeInPos + 2, 0] - posData[firstNonZeroTimeInPos + 1, 0]) * 2), 0) / 2; // (15) distInXDirection this.distInXDirection = (float)(int)(this.speedinXDirection * this.timeinXDirection * 1000) / 1000; // (16) number of points in x this.numPointsOnXAxis = (int)(this.width / this.speedinXDirection / this.timeinXDirection); // (17) number of points in y // y1 from the wiff file is not the actual y1 from the stage - replace with value from path file... this.y1 = 82 - (double)Math.Round(((decimal)posData[lastNonZeroTimeInPos, 2] / 1000), 2); // ...and this has an effect of the ypoints this.numPointsOnYAxis = (int)Math.Round((decimal)((this.y2 - this.y1) / this.distInYDirection) + 1); // (18) calculate the line breaks var timeSpanPos = (posData[lastNonZeroTimeInPos, 0] / 1000.0) - (posData[firstNonZeroTimeInPos, 0] / 1000.0); if (this.numPointsOnYAxis % 2 == 0) { // even number of scanlines this.lineBreak = (timeSpanPos - ((this.x2 - ((float)posData[firstNonZeroTimeInPos, 1] / 1000)) / this.speedinXDirection) - (((this.numPointsOnYAxis - 2) * this.width) / this.speedinXDirection) - ((this.x2 - ((float)posData[lastNonZeroTimeInPos, 1] / 1000)) / this.speedinXDirection)) / (this.numPointsOnYAxis - 1); } else { // odd number of scanlines this.lineBreak = (timeSpanPos - ((this.x2 - ((float)posData[firstNonZeroTimeInPos, 1] / 1000)) / this.speedinXDirection) - (((this.numPointsOnYAxis - 2) * this.width) / this.speedinXDirection) - ((((float)posData[lastNonZeroTimeInPos, 1] / 1000) - this.x1) / this.speedinXDirection)) / (this.numPointsOnYAxis - 1); } this.lineBreak = this.lineBreak / this.timeinXDirection; this.timeOffset = ((float)posData[firstNonZeroTimeInPos, 0] / 1000) - ((((float)posData[firstNonZeroTimeInPos, 1] / 1000) - this.x1) / this.speedinXDirection); this.lineOffset = (5 - ((this.timeData[5] - this.timeOffset) / this.timeinXDirection)) + 1; // TIC throughout the total massrange... // format the data into a rectangular, 2 dimensional array of floats that will represent the image data AppContext.ProgressStart("formatting image data..."); // (19) copy the data from wiff file datastream to the rectangular array. Take account of the line offset and the line break timings float[][] dataTic; try { dataTic = new float[this.numPointsOnXAxis][]; this.sampleDataPos = new int[this.numPointsOnXAxis][]; for (int i = 0; i < dataTic.Length; i++) { dataTic[i] = new float[this.numPointsOnYAxis]; this.sampleDataPos[i] = new int[this.numPointsOnYAxis]; } for (int pointOnYAxis = 0; pointOnYAxis < this.numPointsOnYAxis; pointOnYAxis++) { // currentLine is the offset to the start of the current line in the linear datastream (rawData) var currentLine = (int)Math.Floor(Math.Abs(this.lineOffset + (((((this.x2 - this.x1) / this.speedinXDirection) / this.timeinXDirection) + this.lineBreak) * pointOnYAxis))); for (int pointOnXAxis = 0; pointOnXAxis < this.numPointsOnXAxis; pointOnXAxis++) { int currentPoint; if (pointOnYAxis % 2 == 0) { // even y: scan direction: --> currentPoint = currentLine + pointOnXAxis; } else { // odd y: scan direction: <-- currentPoint = currentLine + this.numPointsOnXAxis - 1 - pointOnXAxis; } if (currentPoint < this.numDataPoints) { dataTic[pointOnXAxis][this.numPointsOnYAxis - 1 - pointOnYAxis] = this.rawData[currentPoint]; // Add in a new array to save these dataPos. We can use them to get the scan number // Scan number is the current point this.sampleDataPos[pointOnXAxis][this.numPointsOnYAxis - 1 - pointOnYAxis] = currentPoint; } else { dataTic[pointOnXAxis][this.numPointsOnYAxis - 1 - pointOnYAxis] = 0; this.sampleDataPos[pointOnXAxis][this.numPointsOnYAxis - 1 - pointOnYAxis] = 0; } } AppContext.ProgressSetValue((100.0 * pointOnYAxis) / this.numPointsOnYAxis); } } finally { AppContext.ProgressClear(); } // (20) create the appropriate dataset and add it to the WiffFileContent object... string imgName = wiffsample.Name + " : " + this.massRangeName; Document doc = wiffsample.WiffFileContent.Document; // (21) Calculate Bin Points // Set a default bin size of 1 - Important it is set to 1 and not zero this.binsize = 1; this.GetBinSize(wiffsample.ScanFileSize, this.numPointsOnXAxis, this.numPointsOnYAxis); // By default we set this to massSpecDataPoints this.binnedmassSpecDataPoints = this.massSpecDataPoints; if (this.binsize > 1) { this.binnedmassSpecDataPoints = this.massSpecDataPoints / this.binsize; } // create the meta information data structure and populate with relevant information... var metaData = new ImageMetaData(); try { const float Epsilon = (float)1E-10; metaData.Add("Sample Name", typeof(string), wiffsample.Name, false); metaData.Add("Mass Range", typeof(string), this.massRangeName, false); metaData.Add("Mass Step Size", typeof(string), this.massStepSize, false); metaData.Add("X1 (mm)", typeof(string), (Math.Abs(this.x1 - (int)this.x1) < Epsilon) ? this.x1.ToString("0.0") : this.x1.ToString(CultureInfo.InvariantCulture), false); metaData.Add("Y1 (mm)", typeof(string), (Math.Abs(this.y1 - (int)this.y1) < Epsilon) ? this.y1.ToString("0.0") : this.y1.ToString(CultureInfo.InvariantCulture), false); metaData.Add("X2 (mm)", typeof(string), (Math.Abs(this.x2 - (int)this.x2) < Epsilon) ? this.x2.ToString("0.0") : this.x2.ToString(CultureInfo.InvariantCulture), false); metaData.Add("Y2 (mm)", typeof(string), (Math.Abs(this.y2 - (int)this.y2) < Epsilon) ? this.y2.ToString("0.0") : this.y2.ToString(CultureInfo.InvariantCulture), false); metaData.Add("Data Points in X", typeof(string), this.numPointsOnXAxis.ToString(CultureInfo.InvariantCulture), false); metaData.Add("Data Points in Y", typeof(string), this.numPointsOnYAxis.ToString(CultureInfo.InvariantCulture), false); metaData.Add("Point Width (mm)", typeof(string), Math.Round(this.distInXDirection, 2).ToString(CultureInfo.InvariantCulture), false); metaData.Add("Point Height (mm)", typeof(string), Math.Round(this.distInYDirection, 2).ToString(CultureInfo.InvariantCulture), false); metaData.Add("Bin Size", typeof(string), this.binsize.ToString(CultureInfo.InvariantCulture), false); // Add Maldi Parameters string[] splitstring = strMaldiParams.Split(SepMaldiParams, StringSplitOptions.None); metaData.Add("Laser Frequency (Hz)", typeof(string), splitstring[1], false); metaData.Add("Laser Power (%)", typeof(string), splitstring[2], false); metaData.Add("Ablation Mode", typeof(string), splitstring[3], false); metaData.Add("Skimmer Voltage (V)", typeof(string), splitstring[4], false); metaData.Add("Source Gas", typeof(string), splitstring[5], false); metaData.Add("Raster Speed (mm/s)", typeof(string), splitstring[6], false); metaData.Add("Line Direction", typeof(string), splitstring[7], false); metaData.Add("Rastor Pitch ", typeof(string), splitstring[8], false); } catch (Exception e) { Util.ReportException(e); } // (22) Create the ImageData var imageTic = new ImageData( doc, dataTic, imgName, metaData, (float)this.massRangeMin, (float)this.massRangeMax, this.meanValue, this.medianValue, (float)this.distInXDirection, (float)this.distInYDirection, this.masscal, Core.ExperimentType.MS); // (23) Collate the Spectrum Data List <ImageData> imageDataList = null; try { // (24) Create a list of array's to hold the mass spec images (in effect a 3x3 array or a list of 2x2 array) this.dataList = new List <float[][]>(); for (int numMassSpecDataPts = 0; numMassSpecDataPts < this.binnedmassSpecDataPoints; numMassSpecDataPts++) { var data = new float[this.numPointsOnXAxis][]; for (int pointOnXAxis = 0; pointOnXAxis < this.numPointsOnXAxis; pointOnXAxis++) { data[pointOnXAxis] = new float[this.numPointsOnYAxis]; } this.dataList.Add(data); } // (25) Populate dataList. We can populate this by Scan (PopulateListByScan()) Or MassSpec (PopulateListByMass()) // For now we will use by Scan as it is more effcient this.PopulateListByScan(); // (26) Create the list of imageData objects passed to the imageSpectrumData object on it's creation later on... imageDataList = new List <ImageData>(); for (int massSpecDataPt = 0; massSpecDataPt < this.binnedmassSpecDataPoints; massSpecDataPt++) { float[][] specData = this.dataList[massSpecDataPt]; imgName = wiffsample.Name + " : " + this.massRangeName; // TODO -- rethink if one should really calculate the mean, median, min, max etc. if the images aren't used for imaging but for export... float minInt = float.MaxValue; float maxInt = float.MinValue; // helper for mean and median meanSum = 0; valuesForMedian.Clear(); { for (int x = 0; x < this.numPointsOnXAxis; x++) { for (int y = 0; y < this.numPointsOnYAxis; y++) { float value = specData[x][y]; // keep track of the extrema if (value < minInt) { minInt = value; } if (value > maxInt) { maxInt = value; } // mean and median calculation... // sum up the value to calculate the mean meanSum += value; // fill an extra array to calculate the median valuesForMedian.Add(value); } } } // calculate the mean var mean = (float)(meanSum / (this.numPointsOnXAxis * this.numPointsOnYAxis)); // calculate the median valuesForMedian.Sort(); float median = ((valuesForMedian.Count % 2) == 0) ? (valuesForMedian[(valuesForMedian.Count / 2) - 1] + valuesForMedian[valuesForMedian.Count / 2]) / 2.0f : valuesForMedian[valuesForMedian.Count / 2]; // ok, now create the imageData and add to list... var imageData = new ImageData( doc, specData, imgName, metaData, minInt, maxInt, mean, median, (float)this.distInXDirection, (float)this.distInYDirection, this.masscal, Core.ExperimentType.MS); imageDataList.Add(imageData); } } catch (Exception e) { Util.ReportException(e); } // (27) Now everything should be set to create the ImageSpectrumData object... imgName = wiffsample.Name + " SPECT " + this.massRangeMin.ToString(CultureInfo.InvariantCulture) + " - " + this.massRangeMax.ToString(CultureInfo.InvariantCulture); var imageSpectrum = new ImageSpectrumData( doc, imgName, metaData, this.masscal, imageDataList, Core.ExperimentType.MS) { ImageTic = imageTic }; wiffsample.WiffFileContent.Add(imageSpectrum); } finally { Cursor.Current = Cursors.Default; } }
private IEnumerable <QuantFile> LoadFiles(IEnumerable <string> filePaths, bool ms3Quant = false) { MSDataFile.CacheScans = false; //int largestQuantPeak = 0; int i = 0; foreach (TagInformation tag in UsedTags.Values) { tag.UniqueTagNumber = i++; tag.TotalSignal = 0; tag.NormalizedTotalSignal = 0; } int largestQuantPeak = i - 1; //int largestQuantPeak = UsedTags.Values.Select(tag => tag.UniqueTagNumber).Concat(new[] {0}).Max(); foreach (string filePath in filePaths) { Log("Processing file:\t" + filePath); OnUpdateLog("Processing File " + filePath + "..."); QuantFile quantFile = new QuantFile(filePath); StreamReader basestreamReader = new StreamReader(filePath); int oldProgress = -1; using (CsvReader reader = new CsvReader(basestreamReader, true)) { while (reader.ReadNextRecord()) // go through csv and raw file to extract the info we want { int scanNumber = int.Parse(reader["Spectrum number"]); string filenameID = reader["Filename/id"]; string rawFileName = filenameID.Split('.')[0]; bool isDecoy = reader["DEFLINE"].StartsWith("DECOY_"); ThermoRawFile rawFile; if (!RawFiles.TryGetValue(rawFileName, out rawFile)) { throw new ArgumentException("Cannot find this raw file: " + rawFileName + ".raw"); } if (!rawFile.IsOpen) { rawFile.Open(); } int progress = (int)(100 * (double)basestreamReader.BaseStream.Position / basestreamReader.BaseStream.Length); if (progress != oldProgress) { OnProgressUpdate(progress); oldProgress = progress; } //// Set default fragmentation to CAD / HCD //FragmentationMethod ScanFragMethod = filenameID.Contains(".ETD.") // ? FragmentationMethod.ETD // : FragmentationMethod.CAD; //if (ScanFragMethod == FragmentationMethod.ETD) //{ // ScanFragMethod = FragmentationMethod.CAD; // scanNumber += ETDQuantPosition; //} // Get the scan object for the sequence ms2 scan MsnDataScan quantitationMsnScan = rawFile[scanNumber] as MsnDataScan; double purity = 1; if (CalculatePurity) { double mz = quantitationMsnScan.PrecursorMz; int charge = quantitationMsnScan.PrecursorCharge; DoubleRange isolationRange = MzRange.FromDa(mz, PurityWindowInTh); MSDataScan parentScan = rawFile[quantitationMsnScan.ParentScanNumber]; purity = DeterminePurity(parentScan, mz, charge, isolationRange); } if (quantitationMsnScan == null) { OnUpdateLog("Spectrum Number " + scanNumber + " is not a valid MS2 scan from: " + rawFile.FilePath + ". Skipping PSM..."); continue; } if (MS3Quant) { quantitationMsnScan = null; // Look forward to find associated MS3 quant scan (based on parent scan number) int ms3ScanNumber = scanNumber + 1; while (ms3ScanNumber < rawFile.LastSpectrumNumber) { if (rawFile.GetParentSpectrumNumber(ms3ScanNumber) == scanNumber) { quantitationMsnScan = rawFile[ms3ScanNumber] as MsnDataScan; break; } ms3ScanNumber++; } if (quantitationMsnScan == null) { OnUpdateLog("Cannot find a MS3 spectrum associated with spectrum number " + scanNumber + ". Skipping PSM..."); continue; } } Tolerance Tolerance = quantitationMsnScan.MzAnalyzer == MZAnalyzerType.IonTrap2D ? ItMassTolerance : FtMassTolerance; bool isETD = quantitationMsnScan.DissociationType == DissociationType.ETD; double injectionTime = quantitationMsnScan.InjectionTime; //var massSpectrum = quantitationMsnScan.MassSpectrum; var thermoSpectrum = rawFile.GetLabeledSpectrum(quantitationMsnScan.SpectrumNumber); double noise = 0; if (NoisebandCap) { // Noise is pretty constant over a small region, find the noise of the center of all isobaric tags MassRange range = new MassRange(UsedTags.Keys[0], UsedTags.Keys[UsedTags.Count - 1]); if (thermoSpectrum != null) { var peak = thermoSpectrum.GetClosestPeak(range.Mean, 500); if (peak != null) { noise = peak.Noise; } else { OnUpdateLog("Spectrum (#" + quantitationMsnScan.SpectrumNumber + ") has no m/z peaks. Skipping PSM..."); continue; } } else { OnUpdateLog("Spectrum (#" + quantitationMsnScan.SpectrumNumber + ") is low-resolution data without noise information. Skipping PSM..."); continue; } } //Dictionary<TagInformation, QuantPeak> peaks = new Dictionary<TagInformation, QuantPeak>(); QuantPeak[] peaks = new QuantPeak[largestQuantPeak + 1]; // Read in the peak data foreach (TagInformation tag in UsedTags.Values) { double tagMz = isETD ? tag.MassEtd : tag.MassCAD; var peak = thermoSpectrum.GetClosestPeak(Tolerance.GetRange(tagMz)); QuantPeak qPeak = new QuantPeak(tag, peak, injectionTime, quantitationMsnScan, noise, peak == null && NoisebandCap); peaks[tag.UniqueTagNumber] = qPeak; } PurityCorrect(peaks, isDecoy); PSM psm = new PSM(filenameID, scanNumber, peaks, purity); quantFile.AddPSM(psm); } } // Dispose of all raw files foreach (ThermoRawFile rawFile in RawFiles.Values) { rawFile.Dispose(); } OnUpdateLog("PSMs loaded " + quantFile.Psms.Count); Log("PSMs Loaded:\t" + quantFile.Psms.Count); yield return(quantFile); } }
/// <summary> /// Fills this instance data members with the information read from <paramref name="wiffFile"/>. /// </summary> /// <param name="wiffFile">A <see cref="FMANWiffFileClass"/> instance. The data source.</param> protected override void Initialize(FMANWiffFileClass wiffFile) { // set the status information AppContext.StatusInfo = "Getting wiff-data"; // get the experiment parameters and the experiment object ITripleQuadMALDI experimentParams = (ITripleQuadMALDI)wiffFile.GetExperimentObject(WiffPeriod.Sample.Index, WiffPeriod.Index, Index); Experiment experiment = (Experiment)wiffFile.GetExperimentObject(WiffPeriod.Sample.Index, WiffPeriod.Index, Index); // get the number of mass MRM transitions massRanges = experiment.MassRangesCount; // select 1. MRM trace FMANChromData anaChrom = new FMANChromData(); anaChrom.WiffFileName = wiffFile.GetWiffFileName(); anaChrom.SetToXICZeroWidth(WiffPeriod.Sample.Index, WiffPeriod.Index, Index, 0); // dimension the data arrray, the number "data points" nrDataPoints = anaChrom.GetNumberOfDataPoints(); rawData = new float[massRanges, nrDataPoints]; timeData = new float[nrDataPoints]; dwellTime = new double[massRanges]; massRangeName = new string[massRanges]; massRangeMax = new double[massRanges]; massRangeMin = new double[massRanges]; meanValues = new float[massRanges]; medianValues = new float[massRanges]; // helper for mean and median double meanSum = 0; List <float> valuesForMedian = new List <float>(); // loop through the mass ranges double[] startMass = new double[massRanges]; double[] stopMass = new double[massRanges]; double[] stepMass = new double[massRanges]; for (int actMassRange = 0; actMassRange < massRanges; actMassRange++) { // get mass range object MassRange anaMassRange = (MassRange)experiment.GetMassRange(actMassRange); startMass[actMassRange] = anaMassRange.QstartMass; stopMass[actMassRange] = anaMassRange.QstopMass; stepMass[actMassRange] = anaMassRange.QstepMass; massRangeName[actMassRange] = Math.Round(startMass[actMassRange], 2).ToString() + " > " + Math.Round(stepMass[actMassRange], 2).ToString(); dwellTime[actMassRange] = anaMassRange.DwellTime; // select MRM trace anaChrom.SetToXICZeroWidth(WiffPeriod.Sample.Index, WiffPeriod.Index, Index, (short)actMassRange); // loop throug the spectrum massRangeMax[actMassRange] = double.MinValue; massRangeMin[actMassRange] = double.MaxValue; meanSum = 0.0; valuesForMedian.Clear(); for (int actDataPoint = 1; actDataPoint <= nrDataPoints; actDataPoint++) { // get the actual value double anaXValue = anaChrom.GetDataPointXValue(actDataPoint); double anaYValue = anaChrom.GetDataPointYValue(actDataPoint); if (anaYValue < massRangeMin[actMassRange]) { massRangeMin[actMassRange] = anaYValue; } if (anaYValue > massRangeMax[actMassRange]) { massRangeMax[actMassRange] = anaYValue; } // now get the actual data rawData[actMassRange, actDataPoint - 1] = (float)anaYValue; timeData[actDataPoint - 1] = (float)anaXValue * 60; // mean and median calculation... // sum up the value to calculate the mean meanSum += anaYValue; // fill an extra array to calculate the median valuesForMedian.Add((float)anaYValue); } // calculate the mean meanValues[actMassRange] = (float)(meanSum / nrDataPoints); // calculate the median valuesForMedian.Sort(); medianValues[actMassRange] = ((valuesForMedian.Count % 2) == 0) ? (float)(valuesForMedian[(valuesForMedian.Count / 2) - 1] + valuesForMedian[valuesForMedian.Count / 2]) / 2.0f : valuesForMedian[valuesForMedian.Count / 2]; } // get MALDI parmas and assign variables string strMALDIParams = experimentParams.TripleQuadMALDIParameters; // x speed in mm/s xSpeed = float.Parse(strMALDIParams.Split(sepMALDIParams, System.StringSplitOptions.None)[6]); //line distance in mm yDist = float.Parse(strMALDIParams.Split(sepMALDIParams, System.StringSplitOptions.None)[8]) / 1000; //time per point in s xTime = (float)((anaChrom.GetDataPointXValue(nrDataPoints) - anaChrom.GetDataPointXValue(2)) * 60 / (nrDataPoints - 2)); xDist = (float)(int)(xSpeed * xTime * 1000) / 1000; anaChrom.SetToTIC(WiffPeriod.Sample.Index, WiffPeriod.Index, Index); // fetch the x1, x2, y1, y2, width and height from the WiffSample instance this experiment belongs to. double x1 = WiffPeriod.Sample.P1.X; double y1 = WiffPeriod.Sample.P1.Y; double x2 = WiffPeriod.Sample.P2.X; double y2 = WiffPeriod.Sample.P2.Y; double width = WiffPeriod.Sample.Width; double height = WiffPeriod.Sample.Height; //number of poins in x xPoints = (int)((width) / xSpeed / xTime); //number of points in y yPoints = (int)((height) / yDist + 0.5) + 1; // lineOffset = 1; // fetch the position data from the WiffSample instance this experiment belongs to. uint[,] posData = WiffPeriod.Sample.PositionData; long posDataLength = WiffPeriod.Sample.PositionDataLength; // try and find the first and last valid indices in the posData, where valid means a nonzero time value... long firstNonZeroTimeInPos = -1; for (long t = 0; t < posDataLength - 1; t++) { if (posData[t, 0] > 0) { firstNonZeroTimeInPos = t + 1; // ok, we're done... break; } } long lastNonZeroTimeInPos = -1; for (long t = posDataLength - 1; t >= 0; t++) { if (posData[t, 0] > 0) { lastNonZeroTimeInPos = t - 1; // ok, we're done... break; } } if (firstNonZeroTimeInPos < 0 || lastNonZeroTimeInPos < 0) { // haven't found a valid posData triplet. All time values are zero or less... // bail out return; } // y2 from the wiff file is not the actual y2 from the stage - replace with value from path file... y2 = (double)Math.Round((decimal)posData[lastNonZeroTimeInPos, 2] / 1000, 2); // ...and this has an effect of the ypoints yPoints = (int)Math.Round((decimal)((y2 - y1) / yDist)) + 1; #if (false) // experimental method to format the ms-data to the x,y suitable for an image representation // fet two time stamps from the start and end of chrom file double tFirstMSDataPoint = anaChrom.GetDataPointXValue(10) * 60 * 1000; double tLastMSDataPoint = anaChrom.GetDataPointXValue(nrDataPoints - 10) * 60 * 1000; int positionMarker = 1; // get the corresponding position from the path file for (int i = 0; posData[i, 0] < tFirstMSDataPoint; i++) { positionMarker = i; } double xFirstMSDataPoint = ((tFirstMSDataPoint - posData[positionMarker, 0]) / (posData[positionMarker + 1, 0] - posData[positionMarker, 0]) * (int)(posData[positionMarker + 1, 1] - posData[positionMarker, 1]) + posData[positionMarker, 1]) / 1000; double yFirstMSDataPoint = (double)Math.Round((decimal)posData[positionMarker, 2] / 1000, 2); for (int i = 0; posData[i, 0] < tLastMSDataPoint; i++) { positionMarker = i; } double xLastMSDataPoint = ((tLastMSDataPoint - posData[positionMarker, 0]) / (posData[positionMarker + 1, 0] - posData[positionMarker, 0]) * (int)(posData[positionMarker + 1, 1] - posData[positionMarker, 1]) + posData[positionMarker, 1]) / 1000; double yLastMSDataPoint = (double)Math.Round((decimal)posData[positionMarker, 2] / 1000, 2); lineOffset = 10 - (xFirstMSDataPoint - x1) / xDist; if (yPoints % 2 == 0) { // even number of scanlines lineBreak = (((nrDataPoints - 10 - 10) - (x2 - (float)xFirstMSDataPoint) / xDist - (yPoints - 2) * (x2 - x1) / xDist - (x2 - (float)xLastMSDataPoint) / xDist)) / (yPoints - 1); } else { // odd number of scanlines lineBreak = (((nrDataPoints - 10 - 10) - (x2 - (float)xFirstMSDataPoint) / xDist - (yPoints - 2) * (x2 - x1) / xDist - ((float)xLastMSDataPoint - x1) / xDist)) / (yPoints - 1); } //timeOffset = (float)posData[5, 0] / 1000 - (((float)posData[5, 1] / 1000 - x1) / xSpeed); for (int actMassRange = 0; actMassRange < massRanges; actMassRange++) { /////////////////////////////////////////////////////////////////////////////////////////////////////// // format the data into a rectangular, 2 dimensional array of floats that will represent the image data // // prepare the data structure float[][] imageData = new float[xPoints][]; for (int i = 0; i < imageData.Length; i++) { imageData[i] = new float[yPoints]; } // copy the data from wiff file datastream to the rectangular array. Take account of the line offset and // the line break timings. for (int y = 0; y < yPoints; y++) { int currentPoint; // currentLine is the offset to the start of the current line in the linear datastream (rawData) int currentLine = (int)Math.Floor(lineOffset + ((x2 - x1) / xDist + lineBreak) * y); for (int x = 0; x < xPoints; x++) { if (y % 2 == 0) { // even y: scan direction: --> currentPoint = (int)(currentLine + x); } else { // odd y: scan direction: <-- currentPoint = (int)(currentLine + xPoints - 1 - x); } if (currentPoint < nrDataPoints) { imageData[x][y] = rawData[actMassRange, currentPoint]; } else { imageData[x][y] = 0; } } } lineOffset += ((double)dwellTime[actMassRange] + 5) / 1000 * xSpeed / xDist; #endif double timeSpanPos = posData[lastNonZeroTimeInPos, 0] / 1000.0 - posData[firstNonZeroTimeInPos, 0] / 1000.0; double syncTime1 = (float)posData[firstNonZeroTimeInPos, 0] / 1000; double syncTime2 = (float)posData[lastNonZeroTimeInPos, 0] / 1000; if (yPoints % 2 == 0) { // even number of scanlines lineBreak = ((syncTime2 - syncTime1) - (x2 - (float)posData[firstNonZeroTimeInPos, 1] / 1000) / xSpeed - (yPoints - 2) * (x2 - x1) / xSpeed - (x2 - (float)posData[lastNonZeroTimeInPos, 1] / 1000) / xSpeed) / (yPoints - 1); //timeOffset = (float)posData[posDataLength - 1, 0] / 1000 + (((float)posData[posDataLength - 1, 1] / 1000 - x1) / xSpeed) - (float)timeData[nrDataPoints - 1] + (float)timeData[0] - 2*xTime; //testing new method } else { // odd number of scanlines lineBreak = ((syncTime2 - syncTime1) - (x2 - (float)posData[firstNonZeroTimeInPos, 1] / 1000) / xSpeed - (yPoints - 2) * (x2 - x1) / xSpeed - ((float)posData[lastNonZeroTimeInPos, 1] / 1000 - x1) / xSpeed) / (yPoints - 1); //timeOffset = (float)posData[posDataLength - 1, 0] / 1000 + ((x2 - (float)posData[posDataLength - 1, 1] / 1000) / xSpeed) - (float)timeData[nrDataPoints - 1] + (float)timeData[0] - xTime;//testing new method } // MSt lineBreak = lineBreak / xTime; timeOffset = (float)posData[firstNonZeroTimeInPos, 0] / 1000 - (((float)posData[firstNonZeroTimeInPos, 1] / 1000 - x1) / xSpeed); // original method of calculation //MSt lineOffset = (timeData[0]-timeOffset) * xSpeed / xDist + .5; double dwellTimeSum = 0; // reset the status information AppContext.StatusInfo = ""; for (int actMassRange = 0; actMassRange < massRanges; actMassRange++) { /////////////////////////////////////////////////////////////////////////////////////////////////////// // format the data into a rectangular, 2 dimensional array of floats that will represent the image data // // prepare the data structure float[][] imageData = new float[xPoints][]; for (int i = 0; i < imageData.Length; i++) { imageData[i] = new float[yPoints]; } dwellTimeSum -= (dwellTime[actMassRange] / 1000 / 2); double optTimeOffset = timeOffset; double optLineBreak = lineBreak; if (AppContext.UseApproximation) { // Perform the optimization... HeuristicOptimization(imageData, actMassRange, (x2 - x1), dwellTimeSum, ref optLineBreak, ref optTimeOffset); } FormatImageFuzzy(imageData, actMassRange, (x2 - x1), dwellTimeSum, optLineBreak, optTimeOffset); dwellTimeSum -= (dwellTime[actMassRange] / 1000 / 2); // create the appropriate dataset and add it to the WiffFileContent object... string imgName = WiffPeriod.Sample.Name + " : " + massRangeName[actMassRange]; Document doc = WiffPeriod.Sample.WiffFileContent.Document; //create the meta information data structure and populate with relevant information... ImageMetaData metaData = new ImageMetaData(); try { metaData.Add("Sample Name", typeof(string), WiffPeriod.Sample.Name, false); metaData.Add("Mass Range", typeof(string), massRangeName[actMassRange], false); metaData.Add("X1 (mm)", typeof(string), x1.ToString(), false); metaData.Add("X2 (mm)", typeof(string), x2.ToString(), false); metaData.Add("Y1 (mm)", typeof(string), y1.ToString(), false); metaData.Add("Y2 (mm)", typeof(string), y2.ToString(), false); metaData.Add("Data Points in X", typeof(string), xPoints.ToString(), false); metaData.Add("Data Points in Y", typeof(string), yPoints.ToString(), false); metaData.Add("Point Width (mm)", typeof(string), xDist.ToString(), false); metaData.Add("Point Height (mm)", typeof(string), yDist.ToString(), false); string[] splitted = strMALDIParams.Split(sepMALDIParams, System.StringSplitOptions.None); metaData.Add("Laser Frequency (Hz)", typeof(string), splitted[1], false); metaData.Add("Laser Power (%)", typeof(string), splitted[2], false); metaData.Add("Ablation Mode", typeof(string), splitted[3], false); metaData.Add("Skimmer Voltage (V)", typeof(string), splitted[4], false); metaData.Add("Source Gas", typeof(string), splitted[5], false); metaData.Add("Raster Speed (mm/s)", typeof(string), splitted[6], false); metaData.Add("Line Distance (µm)", typeof(string), splitted[8], false); } catch (Exception e) { Util.ReportException(e); } WiffPeriod.Sample.WiffFileContent.Add(new ImageData(doc, imageData, imgName, metaData, (float)massRangeMin[actMassRange], (float)massRangeMax[actMassRange], (float)meanValues[actMassRange], (float)medianValues[actMassRange], (float)xDist, (float)yDist, (float)startMass[actMassRange], (float)stepMass[actMassRange])); } anaChrom.WiffFileName = ""; anaChrom = null; }