int[] smooth(int[] a, int n) {
FloatProcessor fp = new FloatProcessor(n, 1);
for (int i = 0; i < n; i++) fp.putPixelValue(i, 0, a[i]);
GaussianBlur gb = new GaussianBlur();
gb.blur1Direction(fp, 2.0, 0.01, true, 0);
for (int i = 0; i < n; i++) a[i] = (int) Math.round(fp.getPixelValue(i, 0));
return a;
}
/* Extracts indexes of first and last indexes of stim imp that match response imp*/
private int[] getFirstNLast(ImagePlus imp, String userInput) {
String stackTitle = "Substack (" + userInput + ")";
if (stackTitle.length() > 25) {
int idxA = stackTitle.indexOf(",", 18);
int idxB = stackTitle.lastIndexOf(",");
if (idxA >= 1 && idxB >= 1) {
String strA = stackTitle.substring(0, idxA);
String strB = stackTitle.substring(idxB + 1);
stackTitle = strA + ", ... " + strB;
}
}
int[] out = new int[2];
try {
int idx1 = userInput.indexOf("-");
if (idx1 >= 1) { // input displayed in range
String rngStart = userInput.substring(0, idx1);
String rngEnd = userInput.substring(idx1 + 1);
Integer obj = new Integer(rngStart);
int first = 1 + (obj.intValue() - 1) * Math.round((float) (this.dt_r / this.DT_S));
int inc = 1;
int idx2 = rngEnd.indexOf("-");
if (idx2 >= 1) {
String rngEndAndInc = rngEnd;
rngEnd = rngEndAndInc.substring(0, idx2);
String rngInc = rngEndAndInc.substring(idx2 + 1);
obj = new Integer(rngInc);
inc = 1 + (obj.intValue() - 1) * Math.round((float) (this.dt_r / this.DT_S));
}
obj = new Integer(rngEnd);
int last = (obj.intValue()) * Math.round((float) (this.dt_r / this.DT_S));
out[0] = first;
out[1] = last;
} else {
throw new Exception();
}
} catch (Exception e) {
IJ.error("Substack Maker", "Invalid input string: \n \n \"" + userInput + "\"");
}
return out;
}
/*
if selection is closed shape, create a circle with the same area and centroid, otherwise use<br>
the Pratt method to fit a circle to the points that define the line or multi-point selection.<br>
Reference: Pratt V., Direct least-squares fitting of algebraic surfaces", Computer Graphics, Vol. 21, pages 145-152 (1987).<br>
Original code: Nikolai Chernov's MATLAB script for Newton-based Pratt fit.<br>
(http://www.math.uab.edu/~chernov/cl/MATLABcircle.html)<br>
Java version: https://github.com/mdoube/BoneJ/blob/master/src/org/doube/geometry/FitCircle.java<br>
@authors Nikolai Chernov, Michael Doube, Ved Sharma
*/
void fitCircle(ImagePlus imp) {
Roi roi = imp.getRoi();
if (roi == null) {
noRoi("Fit Circle");
return;
}
if (roi.isArea()) { // create circle with the same area and centroid
ImageProcessor ip = imp.getProcessor();
ip.setRoi(roi);
ImageStatistics stats =
ImageStatistics.getStatistics(ip, Measurements.AREA + Measurements.CENTROID, null);
double r = Math.sqrt(stats.pixelCount / Math.PI);
imp.killRoi();
int d = (int) Math.round(2.0 * r);
IJ.makeOval(
(int) Math.round(stats.xCentroid - r), (int) Math.round(stats.yCentroid - r), d, d);
return;
}
Polygon poly = roi.getPolygon();
int n = poly.npoints;
int[] x = poly.xpoints;
int[] y = poly.ypoints;
if (n < 3) {
IJ.error("Fit Circle", "At least 3 points are required to fit a circle.");
return;
}
// calculate point centroid
double sumx = 0, sumy = 0;
for (int i = 0; i < n; i++) {
sumx = sumx + poly.xpoints[i];
sumy = sumy + poly.ypoints[i];
}
double meanx = sumx / n;
double meany = sumy / n;
// calculate moments
double[] X = new double[n], Y = new double[n];
double Mxx = 0, Myy = 0, Mxy = 0, Mxz = 0, Myz = 0, Mzz = 0;
for (int i = 0; i < n; i++) {
X[i] = x[i] - meanx;
Y[i] = y[i] - meany;
double Zi = X[i] * X[i] + Y[i] * Y[i];
Mxy = Mxy + X[i] * Y[i];
Mxx = Mxx + X[i] * X[i];
Myy = Myy + Y[i] * Y[i];
Mxz = Mxz + X[i] * Zi;
Myz = Myz + Y[i] * Zi;
Mzz = Mzz + Zi * Zi;
}
Mxx = Mxx / n;
Myy = Myy / n;
Mxy = Mxy / n;
Mxz = Mxz / n;
Myz = Myz / n;
Mzz = Mzz / n;
// calculate the coefficients of the characteristic polynomial
double Mz = Mxx + Myy;
double Cov_xy = Mxx * Myy - Mxy * Mxy;
double Mxz2 = Mxz * Mxz;
double Myz2 = Myz * Myz;
double A2 = 4 * Cov_xy - 3 * Mz * Mz - Mzz;
double A1 = Mzz * Mz + 4 * Cov_xy * Mz - Mxz2 - Myz2 - Mz * Mz * Mz;
double A0 = Mxz2 * Myy + Myz2 * Mxx - Mzz * Cov_xy - 2 * Mxz * Myz * Mxy + Mz * Mz * Cov_xy;
double A22 = A2 + A2;
double epsilon = 1e-12;
double ynew = 1e+20;
int IterMax = 20;
double xnew = 0;
int iterations = 0;
// Newton's method starting at x=0
for (int iter = 1; iter <= IterMax; iter++) {
iterations = iter;
double yold = ynew;
ynew = A0 + xnew * (A1 + xnew * (A2 + 4. * xnew * xnew));
if (Math.abs(ynew) > Math.abs(yold)) {
if (IJ.debugMode) IJ.log("Fit Circle: wrong direction: |ynew| > |yold|");
xnew = 0;
break;
}
double Dy = A1 + xnew * (A22 + 16 * xnew * xnew);
double xold = xnew;
xnew = xold - ynew / Dy;
if (Math.abs((xnew - xold) / xnew) < epsilon) break;
if (iter >= IterMax) {
if (IJ.debugMode) IJ.log("Fit Circle: will not converge");
xnew = 0;
}
if (xnew < 0) {
if (IJ.debugMode) IJ.log("Fit Circle: negative root: x = " + xnew);
xnew = 0;
}
}
if (IJ.debugMode)
IJ.log("Fit Circle: n=" + n + ", xnew=" + IJ.d2s(xnew, 2) + ", iterations=" + iterations);
// calculate the circle parameters
double DET = xnew * xnew - xnew * Mz + Cov_xy;
double CenterX = (Mxz * (Myy - xnew) - Myz * Mxy) / (2 * DET);
double CenterY = (Myz * (Mxx - xnew) - Mxz * Mxy) / (2 * DET);
double radius = Math.sqrt(CenterX * CenterX + CenterY * CenterY + Mz + 2 * xnew);
if (Double.isNaN(radius)) {
IJ.error("Fit Circle", "Points are collinear.");
return;
}
CenterX = CenterX + meanx;
CenterY = CenterY + meany;
imp.killRoi();
IJ.makeOval(
(int) Math.round(CenterX - radius),
(int) Math.round(CenterY - radius),
(int) Math.round(2 * radius),
(int) Math.round(2 * radius));
}
private void makeBand(ImagePlus imp) {
Roi roi = imp.getRoi();
if (roi == null) {
noRoi("Make Band");
return;
}
if (!roi.isArea()) {
IJ.error("Make Band", "Area selection required");
return;
}
Calibration cal = imp.getCalibration();
double pixels = bandSize;
double size = pixels * cal.pixelWidth;
int decimalPlaces = 0;
if ((int) size != size) decimalPlaces = 2;
GenericDialog gd = new GenericDialog("Make Band");
gd.addNumericField("Band Size:", size, decimalPlaces, 4, cal.getUnits());
gd.showDialog();
if (gd.wasCanceled()) return;
size = gd.getNextNumber();
if (Double.isNaN(size)) {
IJ.error("Make Band", "invalid number");
return;
}
int n = (int) Math.round(size / cal.pixelWidth);
if (n > 255) {
IJ.error("Make Band", "Cannot make bands wider that 255 pixels");
return;
}
int width = imp.getWidth();
int height = imp.getHeight();
Rectangle r = roi.getBounds();
ImageProcessor ip = roi.getMask();
if (ip == null) {
ip = new ByteProcessor(r.width, r.height);
ip.invert();
}
ImageProcessor mask = new ByteProcessor(width, height);
mask.insert(ip, r.x, r.y);
ImagePlus edm = new ImagePlus("mask", mask);
boolean saveBlackBackground = Prefs.blackBackground;
Prefs.blackBackground = false;
IJ.run(edm, "Distance Map", "");
Prefs.blackBackground = saveBlackBackground;
ip = edm.getProcessor();
ip.setThreshold(0, n, ImageProcessor.NO_LUT_UPDATE);
int xx = -1, yy = -1;
for (int x = r.x; x < r.x + r.width; x++) {
for (int y = r.y; y < r.y + r.height; y++) {
if (ip.getPixel(x, y) < n) {
xx = x;
yy = y;
break;
}
}
if (xx >= 0 || yy >= 0) break;
}
int count = IJ.doWand(edm, xx, yy, 0, null);
if (count <= 0) {
IJ.error("Make Band", "Unable to make band");
return;
}
ShapeRoi roi2 = new ShapeRoi(edm.getRoi());
if (!(roi instanceof ShapeRoi)) roi = new ShapeRoi(roi);
ShapeRoi roi1 = (ShapeRoi) roi;
roi2 = roi2.not(roi1);
imp.setRoi(roi2);
bandSize = n;
}
String getInfo(ImagePlus imp, ImageProcessor ip) {
String s = new String("\n");
s += "Title: " + imp.getTitle() + "\n";
Calibration cal = imp.getCalibration();
int stackSize = imp.getStackSize();
int channels = imp.getNChannels();
int slices = imp.getNSlices();
int frames = imp.getNFrames();
int digits = imp.getBitDepth() == 32 ? 4 : 0;
if (cal.scaled()) {
String unit = cal.getUnit();
String units = cal.getUnits();
s +=
"Width: "
+ IJ.d2s(imp.getWidth() * cal.pixelWidth, 2)
+ " "
+ units
+ " ("
+ imp.getWidth()
+ ")\n";
s +=
"Height: "
+ IJ.d2s(imp.getHeight() * cal.pixelHeight, 2)
+ " "
+ units
+ " ("
+ imp.getHeight()
+ ")\n";
if (slices > 1)
s += "Depth: " + IJ.d2s(slices * cal.pixelDepth, 2) + " " + units + " (" + slices + ")\n";
double xResolution = 1.0 / cal.pixelWidth;
double yResolution = 1.0 / cal.pixelHeight;
int places = Tools.getDecimalPlaces(xResolution, yResolution);
if (xResolution == yResolution)
s += "Resolution: " + IJ.d2s(xResolution, places) + " pixels per " + unit + "\n";
else {
s += "X Resolution: " + IJ.d2s(xResolution, places) + " pixels per " + unit + "\n";
s += "Y Resolution: " + IJ.d2s(yResolution, places) + " pixels per " + unit + "\n";
}
} else {
s += "Width: " + imp.getWidth() + " pixels\n";
s += "Height: " + imp.getHeight() + " pixels\n";
if (stackSize > 1) s += "Depth: " + slices + " pixels\n";
}
if (stackSize > 1)
s +=
"Voxel size: "
+ d2s(cal.pixelWidth)
+ "x"
+ d2s(cal.pixelHeight)
+ "x"
+ d2s(cal.pixelDepth)
+ " "
+ cal.getUnit()
+ "\n";
else
s +=
"Pixel size: "
+ d2s(cal.pixelWidth)
+ "x"
+ d2s(cal.pixelHeight)
+ " "
+ cal.getUnit()
+ "\n";
s += "ID: " + imp.getID() + "\n";
String zOrigin = stackSize > 1 || cal.zOrigin != 0.0 ? "," + d2s(cal.zOrigin) : "";
s += "Coordinate origin: " + d2s(cal.xOrigin) + "," + d2s(cal.yOrigin) + zOrigin + "\n";
int type = imp.getType();
switch (type) {
case ImagePlus.GRAY8:
s += "Bits per pixel: 8 ";
String lut = "LUT";
if (imp.getProcessor().isColorLut()) lut = "color " + lut;
else lut = "grayscale " + lut;
if (imp.isInvertedLut()) lut = "inverting " + lut;
s += "(" + lut + ")\n";
if (imp.getNChannels() > 1) s += displayRanges(imp);
else s += "Display range: " + (int) ip.getMin() + "-" + (int) ip.getMax() + "\n";
break;
case ImagePlus.GRAY16:
case ImagePlus.GRAY32:
if (type == ImagePlus.GRAY16) {
String sign = cal.isSigned16Bit() ? "signed" : "unsigned";
s += "Bits per pixel: 16 (" + sign + ")\n";
} else s += "Bits per pixel: 32 (float)\n";
if (imp.getNChannels() > 1) s += displayRanges(imp);
else {
s += "Display range: ";
double min = ip.getMin();
double max = ip.getMax();
if (cal.calibrated()) {
min = cal.getCValue((int) min);
max = cal.getCValue((int) max);
}
s += IJ.d2s(min, digits) + " - " + IJ.d2s(max, digits) + "\n";
}
break;
case ImagePlus.COLOR_256:
s += "Bits per pixel: 8 (color LUT)\n";
break;
case ImagePlus.COLOR_RGB:
s += "Bits per pixel: 32 (RGB)\n";
break;
}
double interval = cal.frameInterval;
double fps = cal.fps;
if (stackSize > 1) {
ImageStack stack = imp.getStack();
int slice = imp.getCurrentSlice();
String number = slice + "/" + stackSize;
String label = stack.getShortSliceLabel(slice);
if (label != null && label.length() > 0) label = " (" + label + ")";
else label = "";
if (interval > 0.0 || fps != 0.0) {
s += "Frame: " + number + label + "\n";
if (fps != 0.0) {
String sRate =
Math.abs(fps - Math.round(fps)) < 0.00001 ? IJ.d2s(fps, 0) : IJ.d2s(fps, 5);
s += "Frame rate: " + sRate + " fps\n";
}
if (interval != 0.0)
s +=
"Frame interval: "
+ ((int) interval == interval ? IJ.d2s(interval, 0) : IJ.d2s(interval, 5))
+ " "
+ cal.getTimeUnit()
+ "\n";
} else s += "Image: " + number + label + "\n";
if (imp.isHyperStack()) {
if (channels > 1) s += " Channel: " + imp.getChannel() + "/" + channels + "\n";
if (slices > 1) s += " Slice: " + imp.getSlice() + "/" + slices + "\n";
if (frames > 1) s += " Frame: " + imp.getFrame() + "/" + frames + "\n";
}
if (imp.isComposite()) {
if (!imp.isHyperStack() && channels > 1) s += " Channels: " + channels + "\n";
String mode = ((CompositeImage) imp).getModeAsString();
s += " Composite mode: \"" + mode + "\"\n";
}
}
if (ip.getMinThreshold() == ImageProcessor.NO_THRESHOLD) s += "No Threshold\n";
else {
double lower = ip.getMinThreshold();
double upper = ip.getMaxThreshold();
int dp = digits;
if (cal.calibrated()) {
lower = cal.getCValue((int) lower);
upper = cal.getCValue((int) upper);
dp = cal.isSigned16Bit() ? 0 : 4;
}
s += "Threshold: " + IJ.d2s(lower, dp) + "-" + IJ.d2s(upper, dp) + "\n";
}
ImageCanvas ic = imp.getCanvas();
double mag = ic != null ? ic.getMagnification() : 1.0;
if (mag != 1.0) s += "Magnification: " + IJ.d2s(mag, 2) + "\n";
if (cal.calibrated()) {
s += " \n";
int curveFit = cal.getFunction();
s += "Calibration Function: ";
if (curveFit == Calibration.UNCALIBRATED_OD) s += "Uncalibrated OD\n";
else if (curveFit == Calibration.CUSTOM) s += "Custom lookup table\n";
else s += CurveFitter.fList[curveFit] + "\n";
double[] c = cal.getCoefficients();
if (c != null) {
s += " a: " + IJ.d2s(c[0], 6) + "\n";
s += " b: " + IJ.d2s(c[1], 6) + "\n";
if (c.length >= 3) s += " c: " + IJ.d2s(c[2], 6) + "\n";
if (c.length >= 4) s += " c: " + IJ.d2s(c[3], 6) + "\n";
if (c.length >= 5) s += " c: " + IJ.d2s(c[4], 6) + "\n";
}
s += " Unit: \"" + cal.getValueUnit() + "\"\n";
} else s += "Uncalibrated\n";
FileInfo fi = imp.getOriginalFileInfo();
if (fi != null) {
if (fi.url != null && !fi.url.equals("")) s += "URL: " + fi.url + "\n";
else if (fi.directory != null && fi.fileName != null)
s += "Path: " + fi.directory + fi.fileName + "\n";
}
ImageWindow win = imp.getWindow();
if (win != null) {
Point loc = win.getLocation();
Dimension screen = IJ.getScreenSize();
s +=
"Screen location: "
+ loc.x
+ ","
+ loc.y
+ " ("
+ screen.width
+ "x"
+ screen.height
+ ")\n";
}
Overlay overlay = imp.getOverlay();
if (overlay != null) {
String hidden = imp.getHideOverlay() ? " (hidden)" : " ";
int n = overlay.size();
String elements = n == 1 ? " element" : " elements";
s += "Overlay: " + n + elements + (imp.getHideOverlay() ? " (hidden)" : "") + "\n";
} else s += "No Overlay\n";
Roi roi = imp.getRoi();
if (roi == null) {
if (cal.calibrated()) s += " \n";
s += "No Selection\n";
} else if (roi instanceof EllipseRoi) {
s += "\nElliptical Selection\n";
double[] p = ((EllipseRoi) roi).getParams();
double dx = p[2] - p[0];
double dy = p[3] - p[1];
double major = Math.sqrt(dx * dx + dy * dy);
s += " Major: " + IJ.d2s(major, 2) + "\n";
s += " Minor: " + IJ.d2s(major * p[4], 2) + "\n";
s += " X1: " + IJ.d2s(p[0], 2) + "\n";
s += " Y1: " + IJ.d2s(p[1], 2) + "\n";
s += " X2: " + IJ.d2s(p[2], 2) + "\n";
s += " Y2: " + IJ.d2s(p[3], 2) + "\n";
s += " Aspect ratio: " + IJ.d2s(p[4], 2) + "\n";
} else {
s += " \n";
s += roi.getTypeAsString() + " Selection";
String points = null;
if (roi instanceof PointRoi) {
int npoints = ((PolygonRoi) roi).getNCoordinates();
String suffix = npoints > 1 ? "s)" : ")";
points = " (" + npoints + " point" + suffix;
}
String name = roi.getName();
if (name != null) {
s += " (\"" + name + "\")";
if (points != null) s += "\n " + points;
} else if (points != null) s += points;
s += "\n";
Rectangle r = roi.getBounds();
if (roi instanceof Line) {
Line line = (Line) roi;
s += " X1: " + IJ.d2s(line.x1d * cal.pixelWidth) + "\n";
s += " Y1: " + IJ.d2s(yy(line.y1d, imp) * cal.pixelHeight) + "\n";
s += " X2: " + IJ.d2s(line.x2d * cal.pixelWidth) + "\n";
s += " Y2: " + IJ.d2s(yy(line.y2d, imp) * cal.pixelHeight) + "\n";
} else if (cal.scaled()) {
s += " X: " + IJ.d2s(cal.getX(r.x)) + " (" + r.x + ")\n";
s += " Y: " + IJ.d2s(cal.getY(r.y, imp.getHeight())) + " (" + r.y + ")\n";
s += " Width: " + IJ.d2s(r.width * cal.pixelWidth) + " (" + r.width + ")\n";
s += " Height: " + IJ.d2s(r.height * cal.pixelHeight) + " (" + r.height + ")\n";
} else {
s += " X: " + r.x + "\n";
s += " Y: " + yy(r.y, imp) + "\n";
s += " Width: " + r.width + "\n";
s += " Height: " + r.height + "\n";
}
}
return s;
}
String n(double n) {
String s;
if (Math.round(n) == n) s = ResultsTable.d2s(n, 0);
else s = ResultsTable.d2s(n, Analyzer.getPrecision());
return "\t" + s;
}
/* Methods */
public void run(String argv) {
if (this.setup()) { // validates conditions
IJ.showStatus(" Dark noise removal...");
imp_r = DarkNoiseRemoval(imp_r, NOISE_ROI);
if (removeFirst) {
ImageStack t_stack = imp_r.getStack(); // deletes first slice
t_stack.deleteSlice(1);
imp_r.setStack(t_stack);
} else {
// if first slice wasn't removed we must move the first index of the stim in binSize
this.imp_s_index[0] -= Math.round((float) (this.dt_r / this.DT_S));
}
// imp_r.show();
// get Cells by segmentation;
IJ.showStatus(" Cell Segmentation...");
ImagePlus avr_imp = AApSegmetator.getAverageIm(imp_r);
AApSegmetator segmentator = new AApSegmetator(avr_imp);
this.cells_roi = segmentator.SegmentCellsCWT();
// this.cells_roi = segmentator.SegmentCellsML();
// Resample stimulus
ArrayList<Double> stim_vector = new ArrayList<>();
if (!this.useArtifact) {
IJ.showStatus(" Stimulus srtifact removal....");
Stimulus_API sapi = new Stimulus_API();
sapi.setup("", this.imp_s, this.cells_roi, 0);
stim_vector =
sapi.ResampleStimulus(
this.dt_r, imp_r.getStackSize(), this.imp_s_index[0], this.imp_s_index[1]);
} else {
double[] var1 = Activity_Analysis.getAverageSignal(imp_r);
Object[] var2 = Extract_Stimulus.getPeaks(var1, 1);
TimeSeries var3 = Extract_Stimulus.getStimulusArray(var2, imp_r.getStackSize());
for (int i = 0; i < var3.Signal.length; i++) {
stim_vector.add(var3.Signal[i]);
}
}
// Remove stimulus slices
ArrayList<Integer> stim_sampels = new ArrayList<>();
for (int i = 0; i < stim_vector.size(); i++) {
if (stim_vector.get(i) > 0) stim_sampels.add(i);
}
this.imp_r = ReplaceSlices(this.imp_r, stim_sampels);
// this.imp_r.show();
// IJ.run("In [+]", "");
// IJ.run("In [+]", "");
// Kalman filter
ImageStack ims = imp_r.getStack();
Kalman_Stack_Filter kl = new Kalman_Stack_Filter();
kl.filter(ims, this.KL_PRECVAR, this.KM_GAIN);
imp_r.setStack(ims);
// wrap everything with the Cell manager
this.cm = toCellManager(this.imp_r, this.cells_roi, avr_imp);
System.out.print("Success!!");
}
// run local method
}
