private void AdjustYAxis()
{
if (Movie == null)
{
return;
}
TiltSeries Series = Movie as TiltSeries;
if ((Movie.GetType() == typeof(Movie) || ShowSeriesAverage) && (Movie.PS1D == null || Movie.Simulated1D == null))
{
return;
}
if (Series != null && (Series.TiltPS1D.Count <= TiltID || Series.TiltPS1D[TiltID] == null))
{
return;
}
float2[] ExperimentalData = (Series == null || _ShowSeriesAverage) ? Movie.PS1D : Series.TiltPS1D[TiltID];
float2[] SimulatedData = (Series == null || _ShowSeriesAverage) ? Movie.Simulated1D : Series.GetTiltSimulated1D(TiltID);
int MinN = (int)(ExperimentalData.Length * FittingRangeMin);
int N = (int)(ExperimentalData.Length * (FittingRangeMax - FittingRangeMin));
IEnumerable <float> RelevantExperimental = ExperimentalData.Select(p => p.Y).Skip(MinN).Take(N);
IEnumerable <float> RelevantSimulated = SimulatedData.Select(p => p.Y).Skip(MinN).Take(N);
float MinExperimental = MathHelper.Min(RelevantExperimental);
float MaxExperimental = MathHelper.Max(RelevantExperimental);
float MinSimulated = MathHelper.Min(RelevantSimulated);
float MaxSimulated = MathHelper.Max(RelevantSimulated);
Plot1DAxisY.MinValue = Math.Min(MinExperimental, MinSimulated);
Plot1DAxisY.MaxValue = Math.Max(MaxExperimental, MaxSimulated) * 1.25f;
Plot1DAxisY.LabelFormatter = val => val.ToString("F3", CultureInfo.InvariantCulture);
Plot1DAxisYQuality.LabelFormatter = val => val.ToString("F3", CultureInfo.InvariantCulture);
Plot1DAxisX.LabelFormatter = val => (Movie.OptionsCTF.Window / val * (double)Movie.OptionsCTF.BinnedPixelSizeMean).ToString("F2") + " Å";
}
private async void Movie_CTF1DChanged(object sender, EventArgs e)
{
try
{
AdjustGridVisibility();
if (Movie == null)
{
return;
}
TiltSeries Series = Movie as TiltSeries;
bool NoDataAvailable = false;
if ((Movie.GetType() == typeof(Movie) || ShowSeriesAverage) && (Movie.PS1D == null || Movie.Simulated1D == null))
{
NoDataAvailable = true;
}
else if (Series != null && (Series.TiltPS1D.Count <= TiltID || Series.TiltPS1D[TiltID] == null))
{
NoDataAvailable = true;
}
if (NoDataAvailable)
{
Plot1DSeriesExperimental.Values = null;
Plot1DSeriesSimulated.Values = null;
Plot1DSeriesQuality.Values = null;
return;
}
//ProgressCTF1D.Visibility = Visibility.Visible;
Movie movie = Movie;
decimal fittingRangeMin = FittingRangeMin;
//await Task.Delay(1000);
await Task.Run(() =>
{
float2[] ExperimentalData = (Series == null || _ShowSeriesAverage) ? movie.PS1D : Series.TiltPS1D[TiltID];
float2[] SimulatedData = (Series == null || _ShowSeriesAverage) ? movie.Simulated1D : Series.GetTiltSimulated1D(TiltID);
Cubic1D ScaleData = (Series == null || _ShowSeriesAverage) ? movie.SimulatedScale : Series.TiltSimulatedScale[TiltID];
int N = ExperimentalData.Length * 2;
ChartValues <ObservablePoint> ExperimentalValues = new ChartValues <ObservablePoint>(ExperimentalData.Select(p => new ObservablePoint(p.X *N, p.Y)));
ChartValues <ObservablePoint> SimulatedValues = new ChartValues <ObservablePoint>(SimulatedData.Select(p => new ObservablePoint(p.X *N, p.Y)));
CTF CTF = (Series == null || _ShowSeriesAverage) ? movie.CTF : Series.GetTiltCTF(TiltID);
float[] Quality = CTF.EstimateQuality(ExperimentalData.Select(p => p.Y).ToArray(), ScaleData.Interp(ExperimentalData.Select(p => p.X).ToArray()), (float)fittingRangeMin, 16, true);
Dispatcher.Invoke(() =>
{
Plot1DSeriesExperimental.Values = ExperimentalValues;
Plot1DSeriesSimulated.Values = SimulatedValues;
Plot1DSeriesQuality.Values = new ChartValues <double>(Quality.Select(v => (double)Math.Max(0, v)));
});
});
AdjustYAxis();
FittingRangeChanged(null, new DependencyPropertyChangedEventArgs());
//ProgressCTF1D.Visibility = Visibility.Hidden;
}
catch
{
}
}
