void showDialog() {
int width = imp.getWidth();
int height = imp.getHeight();
Calibration cal = imp.getCalibration();
int places;
if (cal.scaled()) {
pixelWidth = cal.pixelWidth;
pixelHeight = cal.pixelHeight;
units = cal.getUnits();
places = 2;
} else {
pixelWidth = 1.0;
pixelHeight = 1.0;
units = "pixels";
places = 0;
}
if (areaPerPoint == 0.0)
areaPerPoint =
(width * cal.pixelWidth * height * cal.pixelHeight) / 81.0; // default to 9x9 grid
ImageWindow win = imp.getWindow();
GenericDialog gd = new GenericDialog("Grid...");
gd.addChoice("Grid Type:", types, type);
gd.addNumericField("Area per Point:", areaPerPoint, places, 6, units + "^2");
gd.addChoice("Color:", colors, color);
gd.addCheckbox("Random Offset", randomOffset);
gd.addDialogListener(this);
gd.showDialog();
if (gd.wasCanceled()) showGrid(null);
}
public boolean beadCalibration3d() {
imp = IJ.getImage();
if (imp == null) {
IJ.noImage();
return false;
} else if (imp.getStackSize() == 1) {
IJ.error("Stack required");
return false;
} else if (imp.getType() != ImagePlus.GRAY8 && imp.getType() != ImagePlus.GRAY16) {
// In order to support 32bit images, pict[] must be changed to float[], and getPixel(x, y);
// requires a Float.intBitsToFloat() conversion
IJ.error("8 or 16 bit greyscale image required");
return false;
}
width = imp.getWidth();
height = imp.getHeight();
nslices = imp.getStackSize();
imtitle = imp.getTitle();
models[0] = "*None*";
models[1] = "line";
models[2] = "2nd degree polynomial";
models[3] = "3rd degree polynomial";
models[4] = "4th degree polynomial";
GenericDialog gd = new GenericDialog("3D PALM calibration");
gd.addNumericField("Maximum FWHM (in px)", prefs.get("QuickPALM.3Dcal_fwhm", 20), 0);
gd.addNumericField(
"Particle local threshold (% maximum intensity)", prefs.get("QuickPALM.pthrsh", 20), 0);
gd.addNumericField("Z-spacing (nm)", prefs.get("QuickPALM.z-step", 10), 2);
gd.addNumericField("Calibration Z-smoothing (radius)", prefs.get("QuickPALM.window", 1), 0);
gd.addChoice("Model", models, prefs.get("QuickPALM.model", models[3]));
gd.addCheckbox(
"Show divergence of bead positions against model",
prefs.get("QuickPALM.3Dcal_showDivergence", false));
gd.addCheckbox("Show extra particle info", prefs.get("QuickPALM.3Dcal_showExtraInfo", false));
gd.addMessage("\n\nDon't forget to save the table in the end...");
gd.showDialog();
if (gd.wasCanceled()) return false;
fwhm = gd.getNextNumber();
prefs.set("QuickPALM.QuickPALM.3Dcal_fwhm", fwhm);
pthrsh = gd.getNextNumber() / 100;
prefs.set("QuickPALM.pthrsh", pthrsh * 100);
cal_z = gd.getNextNumber();
prefs.set("QuickPALM.z-step", cal_z);
window = (int) gd.getNextNumber();
prefs.set("QuickPALM.window", window);
model = gd.getNextChoice();
prefs.set("QuickPALM.model", model);
part_divergence = gd.getNextBoolean();
prefs.set("QuickPALM.3Dcal_showDivergence", part_divergence);
part_extrainfo = gd.getNextBoolean();
prefs.set("QuickPALM.3Dcal_showExtraInfo", part_extrainfo);
return true;
}
public void run(String arg) {
int[] wList = WindowManager.getIDList();
if (wList == null) {
IJ.error("No images are open.");
return;
}
double thalf = 0.5;
boolean keep;
GenericDialog gd = new GenericDialog("Bleach correction");
gd.addNumericField("t½:", thalf, 1);
gd.addCheckbox("Keep source stack:", true);
gd.showDialog();
if (gd.wasCanceled()) return;
long start = System.currentTimeMillis();
thalf = gd.getNextNumber();
keep = gd.getNextBoolean();
if (keep) IJ.run("Duplicate...", "title='Bleach corrected' duplicate");
ImagePlus imp1 = WindowManager.getCurrentImage();
int d1 = imp1.getStackSize();
double v1, v2;
int width = imp1.getWidth();
int height = imp1.getHeight();
ImageProcessor ip1, ip2, ip3;
int slices = imp1.getStackSize();
ImageStack stack1 = imp1.getStack();
ImageStack stack2 = imp1.getStack();
int currentSlice = imp1.getCurrentSlice();
for (int n = 1; n <= slices; n++) {
ip1 = stack1.getProcessor(n);
ip3 = stack1.getProcessor(1);
ip2 = stack2.getProcessor(n);
for (int x = 0; x < width; x++) {
for (int y = 0; y < height; y++) {
v1 = ip1.getPixelValue(x, y);
v2 = ip3.getPixelValue(x, y);
// =B8/(EXP(-C$7*A8))
v1 = (v1 / Math.exp(-n * thalf));
ip2.putPixelValue(x, y, v1);
}
}
IJ.showProgress((double) n / slices);
IJ.showStatus(n + "/" + slices);
}
// stack2.show();
imp1.updateAndDraw();
}
/**
* Called by the PlugInFilterRunner after setup. Asks the user in case of a stack and prepares a
* separate ouptut stack if required
*/
public int showDialog(ImagePlus imp, String command, PlugInFilterRunner pfr) {
this.pfr = pfr;
int width = imp.getWidth();
int height = imp.getHeight();
// ask whether to process all slices of stack & prepare stack
// (if required) for writing into it in parallel threads
flags = IJ.setupDialog(imp, flags);
if ((flags & DOES_STACKS) != 0 && outImageType != BYTE_OVERWRITE) {
outStack = new ImageStack(width, height, imp.getStackSize());
maxFinder.setNPasses(imp.getStackSize());
}
return flags;
} // public int showDialog
void drawLines() {
GeneralPath path = new GeneralPath();
int width = imp.getWidth();
int height = imp.getHeight();
for (int i = 0; i < linesV; i++) {
float xoff = (float) (xstart + i * tileWidth);
path.moveTo(xoff, 0f);
path.lineTo(xoff, height);
}
for (int i = 0; i < linesH; i++) {
float yoff = (float) (ystart + i * tileHeight);
path.moveTo(0f, yoff);
path.lineTo(width, yoff);
}
showGrid(path);
}
public boolean dialogItemChanged(GenericDialog gd, AWTEvent e) {
int width = imp.getWidth();
int height = imp.getHeight();
type = gd.getNextChoice();
areaPerPoint = gd.getNextNumber();
color = gd.getNextChoice();
randomOffset = gd.getNextBoolean();
double minArea = (width * height) / 50000.0;
if (type.equals(types[1]) && minArea < 144.0) minArea = 144.0;
else if (minArea < 16) minArea = 16.0;
if (areaPerPoint / (pixelWidth * pixelHeight) < minArea) {
String err = "\"Area per Point\" too small";
if (gd.wasOKed()) IJ.error("Grid", err);
else IJ.showStatus(err);
return true;
}
double tileSize = Math.sqrt(areaPerPoint);
tileWidth = tileSize / pixelWidth;
tileHeight = tileSize / pixelHeight;
if (randomOffset) {
xstart = (int) (random.nextDouble() * tileWidth);
ystart = (int) (random.nextDouble() * tileHeight);
} else {
xstart = (int) (tileWidth / 2.0 + 0.5);
ystart = (int) (tileHeight / 2.0 + 0.5);
}
linesV = (int) ((width - xstart) / tileWidth) + 1;
linesH = (int) ((height - ystart) / tileHeight) + 1;
if (gd.invalidNumber()) return true;
if (type.equals(types[0])) drawLines();
else if (type.equals(types[1])) drawCrosses();
else if (type.equals(types[2])) drawPoints();
else showGrid(null);
return true;
}
public void run(String arg) {
int[] wList = WindowManager.getIDList();
if (wList==null) {
IJ.error("No images are open.");
return;
}
double kernel=3;
double kernelsum = 0;
double kernelvarsum =0;
double kernalvar = 0;
double sigmawidth = 2;
int kernelindex, minpixnumber;
String[] kernelsize = { "3�,"5�, "7�, "9�};
GenericDialog gd = new GenericDialog("Sigma Filter");
gd.addChoice("Kernel size", kernelsize, kernelsize[0]);
gd.addNumericField("Sigma width",sigmawidth , 2);
gd.addNumericField("Minimum number of pixels", 1, 0);
gd.addCheckbox("Keep source:",true);
gd.addCheckbox("Do all stack:",true);
gd.addCheckbox("Modified Lee's FIlter:",true);
gd.showDialog();
if (gd.wasCanceled()) return ;
kernelindex = gd.getNextChoiceIndex();
sigmawidth = gd.getNextNumber();
minpixnumber = ((int)gd.getNextNumber());
boolean keep = gd.getNextBoolean();
boolean doallstack = gd.getNextBoolean();
boolean modified = gd.getNextBoolean();
if (kernelindex==0) kernel = 3;
if (kernelindex==1) kernel = 5;
if (kernelindex==2) kernel = 7;
if (kernelindex==3) kernel = 9;
long start = System.currentTimeMillis();
if (minpixnumber> (kernel*kernel)){
IJ.showMessage("Sigma filter", "There must be more pixels in the kernel than+\n" + "the minimum number to be included");
return;
}
double v, midintensity;
int x, y, ix, iy;
double sum = 0;
double backupsum =0;
int count = 0;
int n = 0;
if (keep) {IJ.run("Select All"); IJ.run("Duplicate...", "title='Sigma filtered' duplicate");}
int radius = (int)(kernel-1)/2;
ImagePlus imp = WindowManager.getCurrentImage();
ImageStack stack1 = imp.getStack();
int width = imp.getWidth();
int height = imp.getHeight();
int nslices = stack1.getSize();
int cslice = imp.getCurrentSlice();
double status = width*height*nslices;
ImageProcessor ip = imp.getProcessor();
int sstart = 1;
if (!doallstack) {sstart = cslice; nslices=sstart;status = status/nslices;};
for (int i=sstart; i<=nslices; i++) {
imp.setSlice(i);
for (x=radius;x<width+radius;x++) {
for (y=radius;y<height+radius;y++) {
midintensity = ip.getPixelValue(x,y);
count = 0;
sum = 0;
kernelsum =0;
kernalvar =0;
kernelvarsum =0;
backupsum = 0;
//calculate mean of kernel value
for (ix=0;ix<kernel;ix++) {
for (iy=0;iy<kernel;iy++) {
v = ip.getPixelValue(x+ix-radius,y+iy-radius);
kernelsum = kernelsum+v;
}
}
double sigmacalcmean = (kernelsum/(kernel*kernel));
//calculate variance of kernel
for (ix=0;ix<kernel;ix++) {
for (iy=0;iy<kernel;iy++) {
v = ip.getPixelValue(x+ix-radius,y+iy-radius);
kernalvar = (v-sigmacalcmean)*(v-sigmacalcmean);
kernelvarsum = kernelvarsum + kernalvar;
}
}
//double variance = kernelvarsum/kernel;
double sigmacalcvar = kernelvarsum/((kernel*kernel)-1);
//calcuate sigma range = sqrt(variance/(mean^2)) � sigmawidth
double sigmarange = sigmawidth*(Math.sqrt((sigmacalcvar) /(sigmacalcmean*sigmacalcmean)));
//calulate sigma top value and bottom value
double sigmatop = midintensity*(1+sigmarange);
double sigmabottom = midintensity*(1-sigmarange);
//calculate mean of values that differ are in sigma range.
for (ix=0;ix<kernel;ix++) {
for (iy=0;iy<kernel;iy++) {
v = ip.getPixelValue(x+ix-radius,y+iy-radius);
if ((v>=sigmabottom)&&(v<=sigmatop)){
sum = sum+v;
count = count+1; }
backupsum = v+ backupsum;
}
}
//if there are too few pixels in the kernal that are within sigma range, the
//mean of the entire kernal is taken. My modification of Lee's filter is to exclude the central value
//from the calculation of the mean as I assume it to be spuriously high or low
if (!(count>(minpixnumber)))
{sum = (backupsum-midintensity);
count = (int)((kernel*kernel)-1);
if (!modified)
{sum = (backupsum);
count = (int)(kernel*kernel);}
}
double val = (sum/count);
ip.putPixelValue(x,y, val);
n = n+1;
double percentage = (((double)n/status)*100);
IJ.showStatus(IJ.d2s(percentage,0) +"% done");
}
// IJ.showProgress(i, status);
}}
imp.updateAndDraw();
IJ.showStatus(IJ.d2s((System.currentTimeMillis()-start)/1000.0, 2)+" seconds"); }
void Otsu(ImagePlus imp, int radius, double par1, double par2, boolean doIwhite) {
// Otsu's threshold algorithm
// C++ code by Jordan Bevik <*****@*****.**>
// ported to ImageJ plugin by G.Landini. Same algorithm as in Auto_Threshold, this time on local
// circular regions
int[] data;
int w = imp.getWidth();
int h = imp.getHeight();
int position;
int radiusx2 = radius * 2;
ImageProcessor ip = imp.getProcessor();
byte[] pixels = (byte[]) ip.getPixels();
byte[] pixelsOut =
new byte
[pixels.length]; // need this to avoid changing the image data (and further histograms)
byte object;
byte backg;
if (doIwhite) {
object = (byte) 0xff;
backg = (byte) 0;
} else {
object = (byte) 0;
backg = (byte) 0xff;
}
int k, kStar; // k = the current threshold; kStar = optimal threshold
int N1, N; // N1 = # points with intensity <=k; N = total number of points
double BCV, BCVmax; // The current Between Class Variance and maximum BCV
double num, denom; // temporary bookeeping
int Sk; // The total intensity for all histogram points <=k
int S,
L =
256; // The total intensity of the image. Need to hange here if modifying for >8 bits
// images
int roiy;
Roi roi = new OvalRoi(0, 0, radiusx2, radiusx2);
// ip.setRoi(roi);
for (int y = 0; y < h; y++) {
IJ.showProgress(
(double) (y) / (h - 1)); // this method is slow, so let's show the progress bar
roiy = y - radius;
for (int x = 0; x < w; x++) {
roi.setLocation(x - radius, roiy);
ip.setRoi(roi);
// ip.setRoi(new OvalRoi(x-radius, roiy, radiusx2, radiusx2));
position = x + y * w;
data = ip.getHistogram();
// Initialize values:
S = N = 0;
for (k = 0; k < L; k++) {
S += k * data[k]; // Total histogram intensity
N += data[k]; // Total number of data points
}
Sk = 0;
N1 = data[0]; // The entry for zero intensity
BCV = 0;
BCVmax = 0;
kStar = 0;
// Look at each possible threshold value,
// calculate the between-class variance, and decide if it's a max
for (k = 1; k < L - 1; k++) { // No need to check endpoints k = 0 or k = L-1
Sk += k * data[k];
N1 += data[k];
// The float casting here is to avoid compiler warning about loss of precision and
// will prevent overflow in the case of large saturated images
denom = (double) (N1) * (N - N1); // Maximum value of denom is (N^2)/4 = approx. 3E10
if (denom != 0) {
// Float here is to avoid loss of precision when dividing
num = ((double) N1 / N) * S - Sk; // Maximum value of num = 255*N = approx 8E7
BCV = (num * num) / denom;
} else BCV = 0;
if (BCV >= BCVmax) { // Assign the best threshold found so far
BCVmax = BCV;
kStar = k;
}
}
// kStar += 1; // Use QTI convention that intensity -> 1 if intensity >= k
// (the algorithm was developed for I-> 1 if I <= k.)
// return kStar;
pixelsOut[position] = ((int) (pixels[position] & 0xff) > kStar) ? object : backg;
}
}
for (position = 0; position < w * h; position++)
pixels[position] = pixelsOut[position]; // update with thresholded pixels
}
public void Calc_5Fr(ImagePlus imp1, ImagePlus imp2) {
if (imp1.getType() != imp2.getType()) {
error();
return;
}
if (imp1.getType() == 0) { // getType returns 0 for 8-bit, 1 for 16-bit
bitDepth = "8-bit";
Prefs.set("ps.bitDepth", bitDepth);
} else {
bitDepth = "16-bit";
Prefs.set("ps.bitDepth", bitDepth);
}
int width = imp1.getWidth();
int height = imp1.getHeight();
if (width != imp2.getWidth() || height != imp2.getHeight()) {
error();
return;
}
ImageStack stack1 = imp1.getStack();
// if (bgStackTitle != "NoBg") ImageStack stack2 = imp2.getStack();
ImageStack stack2 = imp2.getStack();
ImageProcessor ip = imp1.getProcessor();
int dimension = width * height;
byte[] pixB;
short[] pixS;
float[][] pixF = new float[5][dimension];
float[][] pixFBg = new float[5][dimension];
float a;
float b;
float den;
float aSmp;
float bSmp;
float denSmp;
float aBg;
float bBg;
float denBg;
float retF;
float azimF;
byte[] retB = new byte[dimension];
short[] retS = new short[dimension];
byte[] azimB = new byte[dimension];
short[] azimS = new short[dimension];
// Derived Variables:
float swingAngle = 2f * (float) Math.PI * swing;
float tanSwingAngleDiv2 = (float) Math.tan(swingAngle / 2.f);
float tanSwingAngleDiv2DivSqrt2 = (float) (Math.tan(swingAngle / 2.f) / Math.sqrt(2));
float wavelengthDiv2Pi = wavelength / (2f * (float) Math.PI);
// get the pixels of each slice in the stack and convert to float
for (int i = 0; i < 5; i++) {
if (bitDepth == "8-bit") {
pixB = (byte[]) stack1.getPixels(i + 3);
for (int j = 0; j < dimension; j++) pixF[i][j] = 0xff & pixB[j];
if (bgStackTitle != "NoBg") {
pixB = (byte[]) stack2.getPixels(i + 3);
for (int j = 0; j < dimension; j++) pixFBg[i][j] = 0xff & pixB[j];
}
} else {
pixS = (short[]) stack1.getPixels(i + 3);
for (int j = 0; j < dimension; j++) pixF[i][j] = (float) pixS[j];
if (bgStackTitle != "NoBg") {
pixS = (short[]) stack2.getPixels(i + 3);
for (int j = 0; j < dimension; j++) pixFBg[i][j] = (float) pixS[j];
}
}
}
// Algorithm
// terms a and b
for (int j = 0; j < dimension; j++) {
denSmp = (pixF[1][j] + pixF[2][j] + pixF[3][j] + pixF[4][j] - 4 * pixF[0][j]) / 2;
denBg = denSmp;
a = (pixF[4][j] - pixF[1][j]);
aSmp = a;
aBg = a;
b = (pixF[2][j] - pixF[3][j]);
bSmp = b;
bBg = b;
if (bgStackTitle != "NoBg") {
denBg = (pixFBg[1][j] + pixFBg[2][j] + pixFBg[3][j] + pixFBg[4][j] - 4 * pixFBg[0][j]) / 2;
aBg = pixFBg[4][j] - pixFBg[1][j];
bBg = pixFBg[2][j] - pixFBg[3][j];
}
// Special case of sample retardance half wave, denSmp = 0
if (denSmp == 0) {
retF = (float) wavelength / 4;
azimF =
(float) (a == 0 & b == 0 ? 0 : (azimRef + 90 + 90 * Math.atan2(a, b) / Math.PI) % 180);
} else {
// Retardance, the background correction can be improved by separately considering sample
// retardance values larger than a quarter wave
if (bgStackTitle != "NoBg") {
a = aSmp / denSmp - aBg / denBg;
b = bSmp / denSmp - bBg / denBg;
} else {
a = aSmp / denSmp;
b = bSmp / denSmp;
}
retF = (float) Math.atan(tanSwingAngleDiv2 * Math.sqrt(a * a + b * b));
if (denSmp < 0) retF = (float) Math.PI - retF;
retF = retF * wavelengthDiv2Pi; // convert to nm
if (retF > retCeiling) retF = retCeiling;
// Orientation
if ((bgStackTitle == "NoBg") || ((bgStackTitle != "NoBg") && (Math.abs(denSmp) < 1))) {
a = aSmp;
b = bSmp;
}
azimF =
(float) (a == 0 & b == 0 ? 0 : (azimRef + 90 + 90 * Math.atan2(a, b) / Math.PI) % 180);
}
if (bitDepth == "8-bit") retB[j] = (byte) (((int) (255 * retF / retCeiling)) & 0xff);
else retS[j] = (short) (4095 * retF / retCeiling);
if (mirror == "Yes") azimF = 180 - azimF;
if (bitDepth == "8-bit") azimB[j] = (byte) (((int) azimF) & 0xff);
else azimS[j] = (short) (azimF * 10f);
}
// show the resulting images in slice 1 and 2
imp1.setSlice(3);
if (bitDepth == "8-bit") {
stack1.setPixels(retB, 1);
stack1.setPixels(azimB, 2);
} else {
stack1.setPixels(retS, 1);
stack1.setPixels(azimS, 2);
}
imp1.setSlice(1);
IJ.selectWindow(imp1.getTitle());
Prefs.set("ps.sampleStackTitle", sampleStackTitle);
Prefs.set("ps.bgStackTitle", bgStackTitle);
Prefs.set("ps.mirror", mirror);
Prefs.set("ps.wavelength", wavelength);
Prefs.set("ps.swing", swing);
Prefs.set("ps.retCeiling", retCeiling);
Prefs.set("ps.azimRef", azimRef);
Prefs.savePreferences();
}
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();
}
