/// <summary> /// Fills this instance data members with the information read from <paramref name="inputMsExperiment"/>. /// </summary> /// <param name="inputMsExperiment">instance, the data source</param> /// <param name="wiffsample"> Wiff Sample</param> protected override void Initialize(MSExperiment inputMsExperiment, WiffSample wiffsample) { Cursor.Current = Cursors.WaitCursor; try { // set the status information AppContext.StatusInfo = "Getting wiff-data"; // (1) Get Maldi Parameters string strMaldiParams = wiffsample.MaldiParametersString; // (2) get the number of mass MRM transitions this.massRanges = inputMsExperiment.Details.MassRangeInfo.Length; // (3) select 1. MRM trace XYData tic = inputMsExperiment.GetTotalIonChromatogram(); // (4) Dimension the data arrray, the number "data points" this.numDataPoint = tic.NumDataPoints; // (5) Set up arrays for info this.rawData = new float[this.massRanges, this.numDataPoint]; this.timeData = new float[this.numDataPoint]; this.dwellTime = new double[this.massRanges]; this.massRangeName = new string[this.massRanges]; this.massRangeMax = new double[this.massRanges]; this.massRangeMin = new double[this.massRanges]; this.meanValues = new float[this.massRanges]; this.medianValues = new float[this.massRanges]; // helper for mean and median var valuesForMedian = new List <float>(); // (6) loop through the mass ranges for (int actMassRange = 0; actMassRange < this.massRanges; actMassRange++) { // get mass range object this.massRangeName[actMassRange] = inputMsExperiment.Details.MassRangeInfo[actMassRange].Name; this.dwellTime[actMassRange] = inputMsExperiment.Details.MassRangeInfo[actMassRange].DwellTime; // loop through the spectrum this.massRangeMax[actMassRange] = double.MinValue; this.massRangeMin[actMassRange] = double.MaxValue; double meanSum = 0.0; valuesForMedian.Clear(); // Extract xic Full Scan var option = new ExtractedIonChromatogramSettings(actMassRange); ExtractedIonChromatogram xic = inputMsExperiment.GetExtractedIonChromatogram(option); // JP 23/11 I think there might be a better way to do this. for (int actDataPoint = 0; actDataPoint < this.numDataPoint; actDataPoint++) { // get the actual value double anaXValue = xic.GetActualXValues()[actDataPoint]; double anaYValue = xic.GetActualYValues()[actDataPoint]; if (anaYValue < this.massRangeMin[actMassRange]) { this.massRangeMin[actMassRange] = anaYValue; } if (anaYValue > this.massRangeMax[actMassRange]) { this.massRangeMax[actMassRange] = anaYValue; } // now get the actual data this.rawData[actMassRange, actDataPoint] = (float)anaYValue; this.timeData[actDataPoint] = (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 this.meanValues[actMassRange] = (float)(meanSum / this.numDataPoint); // calculate the median valuesForMedian.Sort(); this.medianValues[actMassRange] = ((valuesForMedian.Count % 2) == 0) ? (valuesForMedian[(valuesForMedian.Count / 2) - 1] + valuesForMedian[valuesForMedian.Count / 2]) / 2.0f : valuesForMedian[valuesForMedian.Count / 2]; } // (7) time per point in sec this.timeinXDirection = (float)((tic.GetActualXValues()[this.numDataPoint - 1] - tic.GetActualXValues()[1]) * 60 / (this.numDataPoint - 2)); // (8) Calculate distInXDirection: fetch the x1, x2, y1, y2, width and height from the WiffSample instance this experiment belongs to. double x1 = wiffsample.P1.X; double y2 = 82 - wiffsample.P1.Y; double x2 = wiffsample.P2.X; double width = wiffsample.Width; // (9) 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 + 1; break; // ok, we're done... } } long lastNonZeroTimeInPos = -1; for (long t = posDataLength - 1; t >= 0; t++) { if (posData[t, 0] > 0) { lastNonZeroTimeInPos = t - 1; break; // ok, we're done... } } // (10) Make sure we have found valid values, bail out if not if (firstNonZeroTimeInPos < 0 || lastNonZeroTimeInPos < 0) { // haven't found a valid posData triplet. All time values are zero or less...bail out return; } // (11) Calculate distInYDirection this.distInYDirection = 0; for (long t = firstNonZeroTimeInPos; t < lastNonZeroTimeInPos; t++) { if ((posData[t, 1] > ((x2 + x1) * 500)) & Equals(this.distInYDirection, 0.0)) { this.distInYDirection = posData[t, 2]; } if ((posData[t, 1] < ((x2 + 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; } } // (12) 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; // (13) distInXDirection this.distInXDirection = (float)(int)(this.speedinXDirection * this.timeinXDirection * 1000) / 1000; // (14) number of points in x this.numPointsOnXAxis = (int)(width / this.speedinXDirection / this.timeinXDirection); // (15) number of points in y // y2 from the wiff file is not the actual y2 from the stage - replace with value from path file... // JP added "82 -" so what we convert wiff format to analyse co-ordinate system var y1 = 82 - (double)Math.Round((decimal)posData[lastNonZeroTimeInPos, 2] / 1000, 2); // ...and this has an effect of the numPointsOnYAxis this.numPointsOnYAxis = (int)Math.Round((decimal)((y2 - y1) / this.distInYDirection) + 1); // (16) Calc Lines Breaks double syncTime1 = (float)posData[firstNonZeroTimeInPos, 0] / 1000; double syncTime2 = (float)posData[lastNonZeroTimeInPos, 0] / 1000; if (this.numPointsOnYAxis % 2 == 0) { // even number of scanlines this.lineBreak = ((syncTime2 - syncTime1) - ((x2 - ((float)posData[firstNonZeroTimeInPos, 1] / 1000)) / this.speedinXDirection) - (((this.numPointsOnYAxis - 2) * (x2 - x1)) / this.speedinXDirection) - ((x2 - ((float)posData[lastNonZeroTimeInPos, 1] / 1000)) / this.speedinXDirection)) / (this.numPointsOnYAxis - 1); } else { // odd number of scanlines this.lineBreak = ((syncTime2 - syncTime1) - ((x2 - ((float)posData[firstNonZeroTimeInPos, 1] / 1000)) / this.speedinXDirection) - (((this.numPointsOnYAxis - 2) * (x2 - x1)) / this.speedinXDirection) - ((((float)posData[lastNonZeroTimeInPos, 1] / 1000) - x1) / this.speedinXDirection)) / (this.numPointsOnYAxis - 1); } // (17) time offset this.timeOffset = ((float)posData[firstNonZeroTimeInPos, 0] / 1000) - ((((float)posData[firstNonZeroTimeInPos, 1] / 1000) - x1) / this.speedinXDirection); double dwellTimeSum = 0; AppContext.StatusInfo = string.Empty; // (18) Format Data for (int actMassRange = 0; actMassRange < this.massRanges; actMassRange++) { // format the data into a rectangular, 2 dimensional array of floats that will represent the image data var imageData = new float[this.numPointsOnXAxis][]; for (int i = 0; i < imageData.Length; i++) { imageData[i] = new float[this.numPointsOnYAxis]; } dwellTimeSum -= this.dwellTime[actMassRange] / 1000 / 2; double optTimeOffset = this.timeOffset; double optLineBreak = this.lineBreak; if (AppContext.UseApproximation) { // Perform the optimization... this.HeuristicOptimization(imageData, actMassRange, x2 - x1, dwellTimeSum, ref optLineBreak, ref optTimeOffset); } this.FormatImageSharp(imageData, actMassRange, x2 - x1, dwellTimeSum, optLineBreak, optTimeOffset); dwellTimeSum -= this.dwellTime[actMassRange] / 1000 / 2; // create the appropriate dataset and add it to the WiffFileContent object... string imgName = wiffsample.Name + " : " + this.massRangeName[actMassRange]; Document doc = wiffsample.WiffFileContent.Document; // 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[actMassRange], false); metaData.Add("X1 (mm)", typeof(string), (Math.Abs(x1 - (int)x1) < Epsilon) ? x1.ToString("0.0") : x1.ToString(CultureInfo.InvariantCulture), false); metaData.Add("Y1 (mm)", typeof(string), (Math.Abs(y1 - (int)y1) < Epsilon) ? y1.ToString("0.0") : y1.ToString(CultureInfo.InvariantCulture), false); metaData.Add("X2 (mm)", typeof(string), (Math.Abs(x2 - (int)x2) < Epsilon) ? x2.ToString("0.0") : x2.ToString(CultureInfo.InvariantCulture), false); metaData.Add("Y2 (mm)", typeof(string), (Math.Abs(y2 - (int)y2) < Epsilon) ? y2.ToString("0.0") : 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); // 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); } // (19) Create new ImageData and add WiffContent to Wiffsample wiffsample.WiffFileContent.Add(new ImageData( doc, imageData, imgName, metaData, (float)this.massRangeMin[actMassRange], (float)this.massRangeMax[actMassRange], this.meanValues[actMassRange], this.medianValues[actMassRange], (float)this.distInXDirection, (float)this.distInYDirection, null, Core.ExperimentType.MRM)); } } finally { Cursor.Current = Cursors.Default; } }
/// <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; } }