public void run(String arg) {
ImageWindow iw = WindowManager.getCurrentWindow();
pw = jutils.getPW4SelCopy(iw);
String title = pw.getTitle();
float[][] yvals = pw.getYValues();
float[][] xvals = pw.getXValues();
int length = yvals[0].length;
if (pw.getShowErrors()) errs = pw.getErrors(0, false);
int[] colors = pw.getColors();
colors[0] = 0;
ScriptEngineManager manager = new ScriptEngineManager();
engine = manager.getEngineByName("js");
ce = (Compilable) engine;
// hitcounter=0;
c2 = 0.0f;
iterations = 0;
checkc2 = false;
double[] stats = new double[3];
tempx = new float[length];
tempdata = new float[length];
System.arraycopy(xvals[0], 0, tempx, 0, length);
System.arraycopy(yvals[0], 0, tempdata, 0, length);
pw.addPoints(tempx, new float[tempx.length], false);
series = pw.getNpts().length - 1;
double[] params = new double[10];
int[] fixes = {0, 0, 0, 1, 1, 1, 1, 1, 1, 1};
init_options(params, fixes);
if (!init_functions()) {
return;
}
while (showoptions(params, fixes)) {
NLLSfit_v2 fitclass;
if (checkc2) {
fitclass = new NLLSfit_v2(this, 0);
} else {
fitclass = new NLLSfit_v2(this, 0.0001, 50, 0.1);
}
float[] fit = fitclass.fitdata(params, fixes, constraints, yvals[0], weights, stats, true);
pw.updateSeries(fit, series, false);
c2 = (float) stats[1];
iterations = (int) stats[0];
}
IJ.log("Chi Squared = " + (float) stats[1]);
IJ.log("Iterations = " + (int) stats[0]);
for (int i = 0; i < 10; i++) {
IJ.log("P" + (i + 1) + " = " + (float) params[i] + " fixed = " + fixes[i]);
}
IJ.log("AIC = " + (float) stats[2]);
// IJ.log("hits = "+hitcounter);
set_options(params, fixes);
}
boolean init_functions() {
GenericDialog gd = new GenericDialog("Fitting Options");
gd.addStringField("Extra Definitions", exdef, 50);
gd.addCheckbox("Weight Using Plot Errors", false);
gd.addStringField("Weighting Equation (y is for data)", weightfunction, 50);
gd.addStringField("Fit_Equation", function, 50);
gd.showDialog();
if (gd.wasCanceled()) {
return false;
}
exdef = gd.getNextString();
boolean errweights = gd.getNextBoolean();
weightfunction = gd.getNextString();
function = gd.getNextString();
// first initialize the weights
weights = new float[tempdata.length];
if (errweights
|| weightfunction.equals("")
|| weightfunction == null
|| weightfunction == "1.0") {
if (errweights) {
for (int i = 0; i < tempdata.length; i++) weights[i] = 1.0f / (errs[i] * errs[i]);
} else {
for (int i = 0; i < tempdata.length; i++) weights[i] = 1.0f;
}
} else {
for (int i = 0; i < tempdata.length; i++) {
String script =
"y =" + tempdata[i] + "; " + "x =" + tempx[i] + "; " + "retval=" + weightfunction + ";";
Double temp = new Double(0.0);
try {
temp = (Double) engine.eval(script);
} catch (Exception e) {
IJ.log(e.getMessage());
}
if (!(temp.isInfinite() || temp.isNaN())) {
weights[i] = temp.floatValue();
}
}
}
// now compile the function script
try {
String script1 = exdef + "; retval=" + function + ";";
cs = ce.compile(script1);
} catch (Exception e) {
IJ.log(e.toString());
return false;
}
return true;
}
public double[] fitfunc(double[] fitparams) {
Bindings b = engine.createBindings();
for (int i = 0; i < 10; i++) b.put("P" + (i + 1), fitparams[i]);
/*String script1="P1="+fitparams[0]+"; "+
"P2="+fitparams[1]+"; "+
"P3="+fitparams[2]+"; "+
"P4="+fitparams[3]+"; "+
"P5="+fitparams[4]+"; "+
"P6="+fitparams[5]+"; "+
"P7="+fitparams[6]+"; "+
"P8="+fitparams[7]+"; "+
"P9="+fitparams[8]+"; "+
"P10="+fitparams[9]+"; "+
exdef+"; x=";
String script2="; retval="+function+";";*/
try {
double[] temp = new double[tempx.length];
for (int i = 0; i < tempx.length; i++) {
// temp[i]=((Double)engine.eval(script1+(double)tempx[i]+script2)).doubleValue();
b.put("x", tempx[i]);
b.put("y", tempdata[i]);
temp[i] = (Double) cs.eval(b);
}
return temp;
} catch (Exception e) {
IJ.log(e.getMessage());
return null;
}
}
public void run(String arg) {
ImagePlus[] imps = jutils.selectImages(false, 2, new String[] {"Histogram", "Image"});
if (imps == null) return;
ImageWindow iw = imps[0].getWindow();
int[] indices = (int[]) jutils.runReflectionMethod(iw, "getroiindices", null);
if (indices == null) {
IJ.error("Select Roi First");
return;
}
int width = imps[1].getWidth();
int height = imps[1].getHeight();
int[] mask = new int[width * height];
// for(int i=0;i<mask.length;i++) mask[i]=0xff000000;
for (int i = 0; i < indices.length; i++) mask[indices[i]] = 0xffff0000;
ColorProcessor cp = new ColorProcessor(width, height, mask);
ImageRoi roi = new ImageRoi(0, 0, cp);
roi.setZeroTransparent(true);
imps[1].setOverlay(new Overlay(roi));
}
private void fitglobal() {
int nparams = 11;
int nsel = 0;
for (int i = 0; i < ncurves; i++) {
if (include[i]) {
nsel++;
}
}
double[][] params = new double[nsel][nparams];
String[][] tempformulas = new String[nsel][nparams];
double[][][] constraints = new double[2][nsel][nparams];
int[][] vflmatrix = new int[nsel][nparams];
int counter = 0;
for (int i = 0; i < ncurves; i++) {
if (include[i]) {
for (int j = 0; j < nparams; j++) {
params[counter][j] = globalparams[i][j];
tempformulas[counter][j] = globalformulas[i][j];
constraints[0][counter][j] = globalconstraints[0][i][j];
constraints[1][counter][j] = globalconstraints[1][i][j];
vflmatrix[counter][j] = globalvflmatrix[i][j];
}
counter++;
}
for (int j = 0; j < nparams; j++) {
undoparams[i][j] = globalparams[i][j];
undoformulas[i][j] = globalformulas[i][j];
undovflmatrix[i][j] = globalvflmatrix[i][j];
}
for (int j = 0; j < xpts; j++) {
for (int k = 0; k < ypts; k++) {
undofit[i][j][k] = fit[i][j][k];
}
}
undoc2[i] = c2[i];
}
undoglobalc2 = globalc2;
if (showglobalfitdialog(params, tempformulas, vflmatrix)) {
counter = 0;
for (int i = 0; i < ncurves; i++) {
if (include[i]) {
for (int j = 0; j < nparams; j++) {
globalparams[i][j] = params[counter][j];
globalformulas[i][j] = tempformulas[counter][j];
globalvflmatrix[i][j] = vflmatrix[counter][j];
}
counter++;
}
}
double[] stats = new double[2];
float[][] tempdata = new float[nsel][xpts * ypts];
float[][] tempweights = new float[nsel][xpts * ypts];
counter = 0;
for (int i = 0; i < ncurves; i++) {
if (include[i]) {
for (int j = 0; j < xpts; j++) {
for (int k = 0; k < ypts; k++) {
tempdata[counter][j + k * xpts] = (float) ((double) pch[i][j][k] / (double) nmeas[i]);
tempweights[counter][j + k * xpts] = weights[i][j][k];
}
}
counter++;
}
}
int tempmaxiter = globalfitclass.maxiter;
if (checkc2) {
globalfitclass.changemaxiter(0);
}
double[] tempc2vals = new double[nsel];
IJ.showStatus("Fitting Globally");
float[][] tempfit =
globalfitclass.fitdata(
params,
vflmatrix,
tempformulas,
paramsnames,
constraints,
tempdata,
tempweights,
stats,
tempc2vals,
false);
IJ.showStatus("Fit Complete");
globalfitclass.changemaxiter(tempmaxiter);
globalc2 = stats[1];
globalc2label.setText("Global chi^2 = " + (float) globalc2);
counter = 0;
for (int i = 0; i < ncurves; i++) {
if (include[i]) {
for (int j = 0; j < xpts; j++) {
for (int k = 0; k < ypts; k++) {
fit[i][j][k] = tempfit[counter][j + xpts * k] * (float) nmeas[i];
}
}
if (i == dispcurve) {
pwfit.updateSeries(fit[dispcurve], 1, true);
}
for (int j = 0; j < nparams; j++) {
globalparams[i][j] = params[counter][j];
}
c2[i] = tempc2vals[counter];
c2array[i].setText("" + (float) c2[i]);
counter++;
}
}
float[] temp = pwfit.getLimits();
temp[4] = 1.0f;
pwfit.setLimits(temp);
}
}
private void showioerror() {
IJ.showMessage("Error in file io");
}
public void run(String arg) {
GenericDialog gd = new GenericDialog("Options");
double sfreq = 20000.0;
gd.addNumericField("Sampling Frequency?", sfreq, 1, 10, null);
String[] psfchoice = {"3D Gaussian", "Gaus-Lorentz^2", "2D Gaussian"};
gd.addChoice("PSF Type?", psfchoice, psfchoice[0]);
String[] filetypechoice = {
"Confocor 3 raw", "Short binary trajectory", "PlotWindow trajectory", "Ascii Text File"
};
gd.addChoice("File Type?", filetypechoice, filetypechoice[0]);
boolean ch2green = true;
gd.addCheckbox("Ch2 is green?", ch2green);
gd.showDialog();
if (gd.wasCanceled()) {
return;
}
sfreq = gd.getNextNumber();
int psfflag = gd.getNextChoiceIndex();
int fileflag = gd.getNextChoiceIndex();
ch2green = gd.getNextBoolean();
int nfiles = 0;
Object[] histograms = null;
int xmax = 0;
int ymax = 0;
String[] names = null;
if (fileflag < 2) {
jdataio ioclass = new jdataio();
File[] filearray = ioclass.openfiles(OpenDialog.getDefaultDirectory(), IJ.getInstance());
if (filearray.length == 0) {
return;
}
String dir = filearray[0].getAbsolutePath();
int sepindex = dir.lastIndexOf(File.separator);
String newdir = dir.substring(0, sepindex + 1);
OpenDialog.setDefaultDirectory(newdir);
nfiles = filearray.length / 2;
if (nfiles > 25) {
nfiles = 25;
}
histograms = new Object[nfiles];
names = organize_c3_files(filearray);
for (int i = 0; i < nfiles; i++) {
try {
int length1 = (int) (((double) filearray[2 * i].length() - 128.0) / 4.0);
int length2 = (int) (((double) filearray[2 * i + 1].length() - 128.0) / 4.0);
int length3 = (int) (((double) filearray[2 * i].length()) / 2.0);
int length4 = (int) (((double) filearray[2 * i + 1].length()) / 2.0);
InputStream instream = new BufferedInputStream(new FileInputStream(filearray[2 * i]));
InputStream instream2 =
new BufferedInputStream(new FileInputStream(filearray[2 * i + 1]));
if (fileflag == 0) {
int[] pmdata = new int[length1];
int[] pmdata2 = new int[length2];
if (!ioclass.skipstreambytes(instream, 128)) {
showioerror();
instream.close();
return;
}
if (!ioclass.skipstreambytes(instream2, 128)) {
showioerror();
instream2.close();
return;
}
if (!ioclass.readintelintfile(instream, length1, pmdata)) {
showioerror();
instream.close();
return;
}
if (!ioclass.readintelintfile(instream2, length2, pmdata2)) {
showioerror();
instream2.close();
return;
}
if (ch2green) {
histograms[i] = (new pmodeconvert()).pm2pch(pmdata2, pmdata, sfreq, 20000000);
} else {
histograms[i] = (new pmodeconvert()).pm2pch(pmdata, pmdata2, sfreq, 20000000);
}
} else {
float[] tmdata = new float[length3];
float[] tmdata2 = new float[length4];
if (!ioclass.readintelshortfile(instream, length3, tmdata)) {
showioerror();
instream.close();
return;
}
if (!ioclass.readintelshortfile(instream2, length4, tmdata2)) {
showioerror();
instream2.close();
return;
}
if (ch2green) {
histograms[i] = (new pmodeconvert()).create_2Dhistogram(tmdata2, tmdata);
} else {
histograms[i] = (new pmodeconvert()).create_2Dhistogram(tmdata, tmdata2);
}
}
if (((float[][]) histograms[i]).length > xmax) {
xmax = ((float[][]) histograms[i]).length;
}
if (((float[][]) histograms[i])[0].length > ymax) {
ymax = ((float[][]) histograms[i])[0].length;
}
instream.close();
instream2.close();
} catch (IOException e) {
showioerror();
return;
}
}
} else {
if (fileflag == 2) {
ImageWindow iw = WindowManager.getCurrentWindow();
float[][] trajectories = (float[][]) jutils.runPW4VoidMethod(iw, "getYValues");
float[][] tempxvals = (float[][]) jutils.runPW4VoidMethod(iw, "getXValues");
sfreq = 1.0 / ((double) tempxvals[0][1]);
nfiles = trajectories.length / 2;
if (nfiles > 25) {
nfiles = 25;
}
names = new String[nfiles + 1];
names[nfiles] = "avg";
histograms = new Object[nfiles];
for (int i = 0; i < nfiles; i++) {
names[i] = "trajectory " + (i + 1);
if (ch2green) {
histograms[i] =
(new pmodeconvert())
.create_2Dhistogram(trajectories[2 * i + 1], trajectories[2 * i]);
} else {
histograms[i] =
(new pmodeconvert())
.create_2Dhistogram(trajectories[2 * i], trajectories[2 * i + 1]);
}
if (((float[][]) histograms[i]).length > xmax) {
xmax = ((float[][]) histograms[i]).length;
}
if (((float[][]) histograms[i])[0].length > ymax) {
ymax = ((float[][]) histograms[i])[0].length;
}
}
} else {
// here we read tab delimited lines from files
jdataio ioclass = new jdataio();
File[] filearray = ioclass.openfiles(OpenDialog.getDefaultDirectory(), IJ.getInstance());
if (filearray.length == 0) {
return;
}
String dir = filearray[0].getAbsolutePath();
int sepindex = dir.lastIndexOf(File.separator);
String newdir = dir.substring(0, sepindex + 1);
OpenDialog.setDefaultDirectory(newdir);
nfiles = filearray.length;
if (nfiles > 25) {
nfiles = 25;
}
histograms = new Object[nfiles];
names = new String[nfiles + 1];
names[nfiles] = "avg";
for (int i = 0; i < nfiles; i++) {
try {
names[i] = filearray[i].getName();
BufferedReader d = new BufferedReader(new FileReader(filearray[i]));
String[] lines = new String[256];
int counter = 0;
do {
lines[counter] = d.readLine();
counter++;
} while ((lines[counter - 1] != null && lines[counter - 1] != "") && counter < 256);
int numcolumns = 0;
for (int j = 0; j < counter - 1; j++) {
int temp = getncolumns(lines[j]);
if (temp > numcolumns) {
numcolumns = temp;
}
}
float[][] temphist2 = null;
if (ch2green) {
temphist2 = new float[numcolumns][counter - 1];
} else {
temphist2 = new float[counter - 1][numcolumns];
}
for (int k = 0; k < counter - 1; k++) {
float[] temp = tab_delim2float(lines[k]);
for (int j = 0; j < numcolumns; j++) {
if (ch2green) {
temphist2[j][k] = temp[j];
} else {
temphist2[k][j] = temp[j];
}
}
}
histograms[i] = temphist2;
d.close();
} catch (IOException e) {
showioerror();
return;
}
}
for (int i = 0; i < nfiles; i++) {
if (((float[][]) histograms[i]).length > xmax) {
xmax = ((float[][]) histograms[i]).length;
}
if (((float[][]) histograms[i])[0].length > ymax) {
ymax = ((float[][]) histograms[i])[0].length;
}
}
}
}
// note that here x is green and y is red
float[][][] pch = new float[nfiles][xmax][ymax];
for (int i = 0; i < nfiles; i++) {
for (int j = 0; j < ((float[][]) histograms[i]).length; j++) {
for (int k = 0; k < ((float[][]) histograms[i])[j].length; k++) {
pch[i][j][k] = ((float[][]) histograms[i])[j][k];
}
}
}
final PCH2DFitWindow cw = new PCH2DFitWindow();
cw.init(names, pch, psfflag);
final Frame f = new Frame("PCH 2D Analysis");
f.setLocation(10, 10);
f.addWindowListener(
new WindowAdapter() {
public void windowClosing(WindowEvent e) {
f.dispose();
}
});
f.add(cw);
f.pack();
f.setResizable(false);
Insets ins = f.getInsets();
cw.totalSize.height = PCH2DFitWindow.H + ins.bottom + ins.top + 65;
cw.totalSize.width = PCH2DFitWindow.WR + ins.left + ins.right;
f.setSize(cw.totalSize);
f.setVisible(true);
cw.requestFocus();
}
public void showresults(String results) {
IJ.showStatus(results);
IJ.log(results);
}
private void geterrors() {
GenericDialog gd = new GenericDialog("Options");
float conf = 0.67f;
gd.addNumericField("Confidence Limit", (int) (conf * 100.0f), 5, 10, null);
gd.addChoice("Error Parameter", paramsnames, paramsnames[0]);
double spacing = 0.01;
gd.addNumericField("Chi^2 plot spacing (% of value)?", spacing * 100.0, 2, 10, null);
boolean globalerror = false;
gd.addCheckbox("Global Fit Error?", globalerror);
int dataset = 0;
gd.addNumericField("Data Set (for Global Error)", dataset, 0);
gd.showDialog();
if (gd.wasCanceled()) {
return;
}
conf = 0.01f * (float) gd.getNextNumber();
int paramindex = (int) gd.getNextChoiceIndex();
spacing = 0.01 * gd.getNextNumber();
globalerror = gd.getNextBoolean();
dataset = (int) gd.getNextNumber();
if (globalerror) {
support_plane_errors erclass = new support_plane_errors(this, 0.0001, 50, true, 0.1);
int[] erindeces = {paramindex, dataset};
// need to set up all the matrices
int nsel = 0;
int nparams = 11;
for (int i = 0; i < ncurves; i++) {
if (include[i]) {
nsel++;
}
}
double[][] params = new double[nsel][nparams];
String[][] tempformulas = new String[nsel][nparams];
double[][][] constraints = new double[2][nsel][nparams];
int[][] vflmatrix = new int[nsel][nparams];
float[][] tempdata = new float[nsel][xpts * ypts];
float[][] tempweights = new float[nsel][xpts * ypts];
int nfit = 0;
int counter = 0;
for (int i = 0; i < ncurves; i++) {
if (include[i]) {
for (int j = 0; j < nparams; j++) {
params[counter][j] = globalparams[i][j];
tempformulas[counter][j] = globalformulas[i][j];
constraints[0][counter][j] = globalconstraints[0][i][j];
constraints[1][counter][j] = globalconstraints[1][i][j];
vflmatrix[counter][j] = globalvflmatrix[i][j];
if (vflmatrix[counter][j] == 0 || (j == 0 && vflmatrix[counter][j] == 2)) {
nfit++;
}
}
for (int j = 0; j < xpts; j++) {
for (int k = 0; k < ypts; k++) {
tempdata[counter][j + k * xpts] = (float) ((double) pch[i][j][k] / (double) nmeas[i]);
tempweights[counter][j + k * xpts] = weights[i][j][k];
}
}
counter++;
}
}
int dofnum = xpts * ypts * nsel - (nfit - 1) - 1;
int dofden = xpts * ypts * nsel - nfit - 1;
// double flim=FLimit(dofnum,dofden,(double)conf);
double flim = (new jdist()).FLimit(dofnum, dofden, (double) conf);
IJ.log("FLimit = " + (float) flim);
if (flim == Double.NaN && flim < 1.0) {
IJ.showMessage("Invalid Limiting F Value");
return;
}
double truespacing = Math.abs(params[erindeces[1]][erindeces[0]] * spacing);
double[][] c2plot =
erclass.geterrorsglobal(
params,
vflmatrix,
tempformulas,
paramsnames,
constraints,
tempdata,
tempweights,
flim,
truespacing,
erindeces);
IJ.log("upper limit = " + c2plot[1][0] + " lower limit = " + c2plot[0][0]);
int templength = c2plot[0].length;
float[][] c2plotf = new float[2][templength - 1];
for (int i = 0; i < (templength - 1); i++) {
c2plotf[0][i] = (float) c2plot[0][i + 1];
c2plotf[1][i] = (float) c2plot[1][i + 1];
}
new PlotWindow4(
"c2 plot",
paramsnames[paramindex] + "[" + dataset + "]",
"Chi^2",
c2plotf[0],
c2plotf[1])
.draw();
} else {
support_plane_errors erclass = new support_plane_errors(this, 0.0001, 50, false, 0.1);
int errindex = paramindex;
float[] tempdata = new float[xpts * ypts];
float[] tempweights = new float[xpts * ypts];
for (int i = 0; i < xpts; i++) {
for (int j = 0; j < ypts; j++) {
tempdata[i + j * xpts] = (float) ((double) avg[i][j] / (double) nmeas[ncurves]);
tempweights[i + j * xpts] = avgweights[i][j];
}
}
int nfit = 0;
for (int i = 0; i < 7; i++) {
if (avgfixes[i] == 0) {
nfit++;
}
}
int dofnum = xpts * ypts - (nfit - 1) - 1;
int dofden = xpts * ypts - nfit - 1;
double flim = (new jdist()).FLimit(dofnum, dofden, (double) conf);
IJ.log("FLimit = " + (float) flim);
if (flim == Double.NaN && flim < 1.0) {
IJ.showMessage("Invalid Limiting F Value");
return;
}
double truespacing = Math.abs(avgparams[errindex] * spacing);
double[][] c2plot =
erclass.geterrors(
avgparams,
avgfixes,
avgconstraints,
tempdata,
tempweights,
flim,
truespacing,
errindex);
IJ.log("upper limit = " + c2plot[1][0] + " lower limit = " + c2plot[0][0]);
int templength = c2plot[0].length;
float[][] c2plotf = new float[2][templength - 1];
for (int i = 0; i < (templength - 1); i++) {
c2plotf[0][i] = (float) c2plot[0][i + 1];
c2plotf[1][i] = (float) c2plot[1][i + 1];
}
new PlotWindow4("c2 plot", paramsnames[errindex], "Chi^2", c2plotf[0], c2plotf[1]).draw();
}
}
public void showresults(String results) {
if (redirect) tw.append(results);
else IJ.log(results);
}
public boolean get_errors(double[] params, int[] fixes) {
GenericDialog gd = new GenericDialog("Error Options");
String[] methods = {"Support Plane", "Monte Carlo"};
gd.addChoice("Method", methods, methods[0]);
float conf = 0.67f;
gd.addNumericField("SP_Confidence Limit (%)", (int) (conf * 100.0f), 5, 10, null);
String[] labels = {"P1", "P2", "P3", "P4", "P5", "P6", "P7", "P8", "P9", "P10"};
gd.addChoice("SP_Parameter", labels, labels[0]);
double spacing = 0.01;
gd.addNumericField("SP_Chi^2_plot_spacing (% of value)?", spacing * 100.0, 2, 10, null);
int ntrials = 100;
gd.addNumericField("MC_#_Trials", ntrials, 0);
gd.showDialog();
if (gd.wasCanceled()) {
return false;
}
int methodindex = gd.getNextChoiceIndex();
conf = 0.01f * (float) gd.getNextNumber();
int paramindex = gd.getNextChoiceIndex();
spacing = 0.01 * gd.getNextNumber();
ntrials = (int) gd.getNextNumber();
if (methodindex == 0) {
support_plane_errors_v2 erclass = new support_plane_errors_v2(this, 0.0001, 50, false, 0.1);
int errindex = paramindex;
int nfit = 0;
for (int i = 0; i < labels.length; i++) {
if (fixes[i] == 0) {
nfit++;
}
}
int npts = tempdata.length;
int dofnum = npts - (nfit - 1) - 1;
int dofden = npts - nfit - 1;
double flim = (new jdist()).FLimit(dofnum, dofden, (double) conf);
IJ.log("FLimit = " + (float) flim);
if (flim == Double.NaN && flim < 1.0) {
IJ.showMessage("Invalid Limiting F Value");
return false;
}
double truespacing = Math.abs(params[errindex] * spacing);
double[][] c2plot =
erclass.geterrors(
params, fixes, constraints, tempdata, weights, flim, truespacing, errindex);
IJ.log("upper limit = " + c2plot[1][0] + " lower limit = " + c2plot[0][0]);
IJ.log(
"upper error = "
+ (c2plot[1][0] - params[errindex])
+ " lower error = "
+ (params[errindex] - c2plot[0][0]));
int templength = c2plot[0].length;
float[][] c2plotf = new float[2][templength - 1];
for (int i = 0; i < (templength - 1); i++) {
c2plotf[0][i] = (float) c2plot[0][i + 1];
c2plotf[1][i] = (float) c2plot[1][i + 1];
}
new PlotWindow4("c2 plot", labels[errindex], "Chi^2", c2plotf[0], c2plotf[1]).draw();
} else {
StringBuffer sb = new StringBuffer();
sb.append("Trial\t");
for (int i = 0; i < labels.length; i++) {
if (fixes[i] == 0) sb.append(labels[i] + "\t");
}
sb.append("chi^2");
tw = new TextWindow("Monte Carlo Results", sb.toString(), "", 400, 400);
redirect = true;
monte_carlo_errors_v2 erclass = new monte_carlo_errors_v2(this, 0.0001, 50, false, 0.1);
double[][] errors = erclass.geterrors(params, fixes, constraints, tempdata, weights, ntrials);
sb = new StringBuffer();
sb.append("StDev\t");
for (int i = 0; i < errors.length; i++) {
float[] ferr = new float[errors[0].length];
for (int j = 0; j < ferr.length; j++) ferr[j] = (float) errors[i][j];
float stdev = jstatistics.getstatistic("StDev", ferr, null);
sb.append("" + stdev);
if (i < (errors.length - 1)) sb.append("\t");
}
tw.append(sb.toString());
redirect = false;
}
return true;
}
public void run(String arg) {
GenericDialog gd = new GenericDialog("Options");
gd.addCheckbox("Acceptor_First", true);
gd.showDialog();
if (gd.wasCanceled()) return;
boolean a1 = gd.getNextBoolean();
int asp = 0;
int dsp = 1;
int aop = 2;
int dop = 3;
int atp = 4;
int dtp = 5;
if (!a1) {
asp = 1;
dsp = 0;
aop = 3;
dop = 2;
atp = 5;
dtp = 4;
}
ImageWindow iw = WindowManager.getCurrentWindow();
float[][] xvals = (float[][]) jutils.runPW4VoidMethod(iw, "getXValues");
float[][] yvals = (float[][]) jutils.runPW4VoidMethod(iw, "getYValues");
int[] npts = (int[]) jutils.runPW4VoidMethod(iw, "getNpts");
int maxpts = (int) jstatistics.getstatistic("Max", npts, null);
int nsets = npts.length / 6;
float[][] rtxvals = new float[nsets][maxpts];
float[][] rtavals = new float[nsets][maxpts];
float[][] rtdvals = new float[nsets][maxpts];
int[] rtnpts = new int[nsets];
int fretlength = 10;
float[][] stfretvals = new float[nsets][fretlength];
float[][] offfretvals = new float[nsets][fretlength];
TextWindow tw = jutils.selectTable("DNA Damage FRET");
if (tw == null)
tw =
new TextWindow(
"DNA Damage FRET",
"title\tacceptor\tdonor\testripe\teoff\tmaxart\tmaxdrt",
"",
400,
200);
// note that st stands for stripe and off is for areas off the damage stripe
for (int i = 0; i < npts.length / 6; i++) {
int len = npts[i * 6];
int damageindex = findbleach(yvals[i * 6 + dsp], len);
int fretindex = findbleach(yvals[i * 6 + atp], len);
IJ.log("set " + i + " damage pos = " + damageindex + " , fret pos = " + fretindex);
int predamagestart = damageindex - 4;
int prefretstart = fretindex - 5;
float staccpredam = getavg(yvals[i * 6 + asp], len, predamagestart, damageindex - 1);
float stdonpredam = getavg(yvals[i * 6 + dsp], len, predamagestart, damageindex - 1);
float nucaccpredam = getavg(yvals[i * 6 + atp], len, predamagestart, damageindex - 1);
float nucdonpredam = getavg(yvals[i * 6 + dtp], len, predamagestart, damageindex - 1);
float stdonprefret = getavg(yvals[i * 6 + dsp], len, prefretstart, fretindex - 2);
float stdonafret = getavg(yvals[i * 6 + dsp], len, fretindex, fretindex + 3);
float offdonprefret = getavg(yvals[i * 6 + dop], len, prefretstart, fretindex - 2);
float offdonafret = getavg(yvals[i * 6 + dop], len, fretindex, fretindex + 3);
float estripe = 1.0f - stdonprefret / stdonafret;
float eoff = 1.0f - offdonprefret / offdonafret;
rtnpts[i] = len;
for (int j = 0; j < len; j++) {
rtxvals[i][j] = j - damageindex - 1;
rtavals[i][j] =
(yvals[i * 6 + asp][j] / staccpredam) / (yvals[i * 6 + atp][j] / nucaccpredam);
rtdvals[i][j] =
(yvals[i * 6 + dsp][j] / stdonpredam) / (yvals[i * 6 + dtp][j] / nucdonpredam);
}
float[] smart = (float[]) algutils.get_subarray(rtavals[i], 0, fretindex);
float[] smdrt = (float[]) algutils.get_subarray(rtdvals[i], 0, fretindex);
jsmooth.blur1D(smart, 2.0f);
jsmooth.blur1D(smdrt, 2.0f);
float maxart = 0.0f;
float maxdrt = 0.0f;
for (int j = 0; j < fretindex - 2; j++) {
if (smart[j] > maxart) maxart = smart[j];
if (smdrt[j] > maxdrt) maxdrt = smdrt[j];
}
stfretvals[i] = getregion(yvals[i * 6 + dsp], len, prefretstart, fretlength);
offfretvals[i] = getregion(yvals[i * 6 + dop], len, prefretstart, fretlength);
tw.append(
iw.getTitle()
+ "-"
+ (i + 1)
+ "\t"
+ staccpredam
+ "\t"
+ stdonpredam
+ "\t"
+ estripe
+ "\t"
+ eoff
+ "\t"
+ maxart
+ "\t"
+ maxdrt);
}
new PlotWindow4("Stripe_FRET_profiles", "time", "intensity", stfretvals, null).draw();
new PlotWindow4("OffStripe_FRET_profiles", "time", "intensity", offfretvals, null).draw();
new PlotWindow4("Acc_Rt_profiles", "time", "intensity", rtxvals, rtavals, rtnpts).draw();
new PlotWindow4("Don_Rt_profiles", "time", "intensity", rtxvals, rtdvals, rtnpts).draw();
}
public void run(String arg) {
Frame[] niframes = WindowManager.getNonImageWindows();
String[] titles = new String[niframes.length + 1];
for (int i = 0; i < niframes.length; i++) {
titles[i] = niframes[i].getTitle();
}
titles[niframes.length] = "Clipboard";
GenericDialog gd = new GenericDialog("Windows");
boolean importfile = false;
gd.addCheckbox("Import from file?", importfile);
gd.addChoice("Windows", titles, titles[0]);
boolean hasxvals = false;
gd.addCheckbox("X Vals Column?", hasxvals);
boolean multix = false;
gd.addCheckbox("Multi_X_Columns?", multix);
boolean skipendzeros = false;
gd.addCheckbox("Skip_end_zeros?", skipendzeros);
String[] delimiters = {"Tab", "Comma", "Space"};
gd.addChoice("Delimiter", delimiters, delimiters[0]);
gd.showDialog();
if (gd.wasCanceled()) {
return;
}
importfile = gd.getNextBoolean();
int index = gd.getNextChoiceIndex();
hasxvals = gd.getNextBoolean();
multix = gd.getNextBoolean();
skipendzeros = gd.getNextBoolean();
int delimindex = gd.getNextChoiceIndex();
if (multix) hasxvals = true;
String textdata = "";
if (importfile) {
OpenDialog od = new OpenDialog("Open File", "", ".txt");
String directory = od.getDirectory();
String name = od.getFileName();
if (name == null) {
return;
}
try {
File infile = new File(directory + name);
BufferedReader b = new BufferedReader(new FileReader(infile));
textdata = (new jdataio()).readstringfile(b);
b.close();
} catch (IOException e) {
return;
}
} else {
if (index == niframes.length) {
// here we get the data from the clipboard
Transferable t = Toolkit.getDefaultToolkit().getSystemClipboard().getContents(null);
try {
if (t != null && t.isDataFlavorSupported(DataFlavor.stringFlavor)) {
textdata = (String) t.getTransferData(DataFlavor.stringFlavor);
}
} catch (UnsupportedFlavorException e) {
} catch (IOException e) {
}
if (textdata.equals("")) {
IJ.error("Error copying from clipboard.");
return;
}
} else {
if (niframes[index] instanceof Editor) {
Editor tw = (Editor) niframes[index];
textdata = tw.getText();
} else {
if (niframes[index] instanceof TextWindow) {
TextWindow tw = (TextWindow) niframes[index];
textdata = tw.getTextPanel().getText();
} else {
IJ.showMessage("Not a valid text window");
return;
}
}
}
}
if (textdata == null) {
IJ.showMessage("Error in Obtaining String");
return;
}
if (textdata.indexOf("\r") >= 0) {
textdata = textdata.replace('\r', '\n');
}
char[] delims = {'\t', ',', ' '};
delimit_string ds = new delimit_string(delims[delimindex]);
String[] rows = ds.getrows(textdata);
int lines = rows.length;
int columns = ds.getnumcolumns(rows[0]);
int ycolumns = columns;
if (hasxvals) {
if (multix) {
ycolumns /= 2;
} else {
ycolumns--;
}
}
if (multix) {
float[][] ydata = new float[ycolumns][lines];
float[][] xdata = new float[ycolumns][lines];
for (int i = 0; i < lines; i++) {
float[] temp = ds.delim2float(rows[i], columns);
for (int j = 0; j < ycolumns; j++) {
ydata[j][i] = temp[2 * j + 1];
xdata[j][i] = temp[2 * j];
}
}
int[] npts = new int[ycolumns];
for (int i = 0; i < ycolumns; i++) {
npts[i] = lines;
}
if (skipendzeros) {
for (int i = 0; i < ycolumns; i++) {
int counter = lines - 1;
while ((xdata[i][counter] == 0.0f || Float.isNaN(xdata[i][counter])) && counter > 0) {
xdata[i][counter] = 0.0f;
ydata[i][counter] = 0.0f;
npts[i]--;
counter--;
}
}
}
(new PlotWindow4("Text Plot", "x", "y", xdata, ydata, npts)).draw();
} else {
float[][] tempydata = new float[ycolumns][lines];
float[] tempxdata = new float[lines];
float[][] xdata = null;
float[][] ydata = null;
int startcolumn = 0;
if (hasxvals) startcolumn = 1;
for (int i = 0; i < lines; i++) {
float[] temp = ds.delim2float(rows[i], columns);
if (hasxvals) {
tempxdata[i] = temp[0];
} else {
tempxdata[i] = (float) (i + 1);
}
for (int j = 0; j < ycolumns; j++) {
tempydata[j][i] = temp[j + startcolumn];
}
}
int[] npts = new int[ycolumns];
npts[0] = lines;
if (skipendzeros) {
int maxpts = 0;
for (int i = 0; i < ycolumns; i++) {
int counter = lines - 1;
npts[i] = lines;
while ((tempydata[i][counter] == 0.0f || Float.isNaN(tempydata[i][counter]))
&& counter > 0) {
npts[i]--;
counter--;
}
if (npts[i] > maxpts) maxpts = npts[i];
IJ.log("" + npts[i]);
}
ydata = new float[ycolumns][maxpts];
xdata = new float[ycolumns][maxpts];
for (int i = 0; i < ycolumns; i++) {
// npts[i]=npts[0];
System.arraycopy(tempxdata, 0, xdata[i], 0, npts[i]);
System.arraycopy(tempydata[i], 0, ydata[i], 0, npts[i]);
}
} else {
ydata = tempydata;
xdata = new float[ycolumns][];
for (int i = 0; i < ycolumns; i++) {
npts[i] = npts[0];
xdata[i] = tempxdata.clone();
}
}
(new PlotWindow4("Text Plot", "x", "y", xdata, ydata, npts)).draw();
}
}
public void run(String arg) {
ImagePlus imp = WindowManager.getCurrentImage();
Calibration cal = imp.getCalibration();
GenericDialog gd = new GenericDialog("Options");
int subsize = 32;
gd.addNumericField("Subregion Size (pixels)?", subsize, 0);
int stepsize = 16;
gd.addNumericField("Step Size?", stepsize, 0);
int shift = 3;
gd.addNumericField("STICS temporal Shift?", shift, 0);
float xoffset = 0.0f;
gd.addNumericField("X_Offset", xoffset, 5, 15, null);
float yoffset = 0.0f;
gd.addNumericField("Y_Offset", yoffset, 5, 15, null);
float multiplier = 8.0f;
gd.addNumericField("Velocity Multiplier", multiplier, 5, 15, null);
float ftime = 1.0f;
gd.addNumericField("Frame_Time(min)", ftime, 5, 15, null);
float scaling = (float) cal.pixelWidth;
gd.addNumericField("Pixel_Size(um)", scaling, 5, 15, null);
boolean norm = true;
gd.addCheckbox("Normalize_Vector_lengths?", norm);
boolean centered = true;
gd.addCheckbox("Center_Vectors?", centered);
float magthresh = 0.0f;
gd.addNumericField("Magnitude_Threshhold?", magthresh, 5, 15, null);
int rlength = 10;
gd.addNumericField("Running_avg_length", rlength, 0);
int inc = 5;
gd.addNumericField("Start_frame_increment", inc, 0);
gd.showDialog();
if (gd.wasCanceled()) {
return;
}
subsize = (int) gd.getNextNumber();
stepsize = (int) gd.getNextNumber();
shift = (int) gd.getNextNumber();
xoffset = (float) gd.getNextNumber();
yoffset = (float) gd.getNextNumber();
multiplier = (float) gd.getNextNumber();
ftime = (float) gd.getNextNumber();
scaling = (float) gd.getNextNumber();
norm = gd.getNextBoolean();
centered = gd.getNextBoolean();
magthresh = (float) gd.getNextNumber();
rlength = (int) gd.getNextNumber();
inc = (int) gd.getNextNumber();
int width = imp.getWidth();
int xregions = 1 + (int) (((float) width - (float) subsize) / (float) stepsize);
int newwidth = xregions * subsize;
int height = imp.getHeight();
int yregions = 1 + (int) (((float) height - (float) subsize) / (float) stepsize);
int newheight = yregions * subsize;
ImageStack stack = imp.getStack();
int slices = imp.getNSlices();
int channels = imp.getNChannels();
int frames = imp.getNFrames();
if (frames == 1) {
frames = slices;
slices = 1;
}
Roi roi = imp.getRoi();
if (roi == null) {
roi = new Roi(0, 0, width, height);
}
STICS_map map = new STICS_map(subsize, stepsize);
Object[] tseries = jutils.get3DTSeries(stack, 0, 0, frames, slices, channels);
map.update_STICS_map(tseries, width, height, 0, rlength, roi.getPolygon(), shift);
FloatProcessor fp =
map.get_map(scaling, ftime, stepsize, centered, norm, multiplier, stepsize, magthresh);
ImageStack vector_stack = new ImageStack(fp.getWidth(), fp.getHeight());
vector_stack.addSlice("", fp);
float[][] vel = map.get_scaled_velocities(scaling, ftime, stepsize);
ImageStack velstack = new ImageStack(map.xregions, map.yregions);
velstack.addSlice("", vel[0]);
velstack.addSlice("", vel[1]);
int velframes = 2;
IJ.showStatus("frame " + 0 + " calculated");
for (int i = inc; i < (frames - rlength); i += inc) {
map.update_STICS_map(tseries, width, height, i, rlength, roi.getPolygon(), shift);
FloatProcessor fp2 =
map.get_map(scaling, ftime, stepsize, centered, norm, multiplier, stepsize, magthresh);
vector_stack.addSlice("", fp2);
vel = map.get_scaled_velocities(scaling, ftime, stepsize);
velstack.addSlice("", vel[0]);
velstack.addSlice("", vel[1]);
velframes += 2;
IJ.showStatus("frame " + i + " calculated");
}
(new ImagePlus("STICS Vectors", vector_stack)).show();
ImagePlus imp3 = new ImagePlus("Velocities", velstack);
imp3.setOpenAsHyperStack(true);
imp3.setDimensions(2, 1, velframes / 2);
new CompositeImage(imp3, CompositeImage.COLOR).show();
}