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#summer #grandflora #bebetter #crossfitgirls #heat #badboys #health #fitness #weekend #swimming #eatright #nutrition #gethealthy #crossfitproper #stayfocused #goals #teamherbalife #mindset #trainhard #progression #herbalife #noexcuses #getresults #crossfit #getfit #beautiful #cute #crazy #fashion #love
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//Macro for ImageJ by
//Michael Cammer cammer@aecom.yu.edu for AIF www.aecom.yu.edu/aif/
//Data presented or published using this/these macro(s)/function(s) or modification(s) thereof
//must acknowledge the "Analytical Imaging Facility at the Albert Einstein College of Medicine"
//and ImageJ as explained at rsb.info.nih.gov/ij/docs/faqs.html
// A circle ROI is drawn on a timelapse stack such that the center of the circle is the centroid
// of the feature to be measured over time and that the entire object at every time is contained within the
// perimeter of the circle.
// Then radii spaced by step size perimeter / n step around and are resampled in the time axis
// and pasted into a new window.
macro"Diameter Sweep [q]"{
requires("1.34k");
run("Set Scale...", "distance=1 known=1 pixel=1 unit=px");
n =256; // number of pixels on perimeter of circle to be sampled.
run("Set Measurements...", " centroid redirect=None decimal=0");
run("Measure");
xc = getResult("X", nResults-1);
yc = getResult("Y", nResults-1);
selectWindow("Results");
run("Close");
slices = nSlices();
// This routine gets all the pixels along a ROI, not just vertices.
// It only works with the magic wand tool or a complete freehand ROI tool.
// It does not work with the polygon tool!
getSelectionCoordinates(x_, y_);
x = newArray(x_.length+1);
y = newArray(x_.length+1);
for (i=0; i<x_.length; i++){
x[i] = x_[i];
y[i] = y_[i];
}
x[x_.length] = x_[0];
y[y_.length] = y_[0];
newx = newArray(65535);
newy = newArray(65535);
newindex = 0;
for (i=0; i<x.length; i++){
if (i 0) step = 1; else step = -1;
for (k=y0; k!=y1; k=k+step) {
newx[newindex] = x[i];
newy[newindex] = k;
newindex++;
} // for k
} // if (x[i+1] == x[i])
if (y[i+1] == y[i]){
x0 = x[i];
x1 = x[i+1];
dx = x1 - x0;
if (dx > 0) step = 1; else step = -1;
for (k=x0; k!=x1; k=k+step) {
newx[newindex] = k;
newy[newindex] = y[i];
newindex++;
} // for k
} // if (y[i+1] == y[i])
if ( (x[i] != x[i+1]) && (y[i]!=y[i+1]) ){
newx[newindex] = x[i];
newy[newindex] = y[i];
newindex++; }
} // if (i < (x.length-1))
} // for i
// This is the end of the routine that gets the coordinates along the edge.
// The coordinates are stored in the arrays x and y.
setBatchMode(true);
// this is to find the longest radius to make a new window this width or to rescale the shorter lines this length
maxradius = calculateMaximumRadius (newx, newy, newindex);
original = getImageID();
originaltitle = getTitle();
bits = bitDepth();
newImage("stream_", bits, maxradius, slices, round(n/2));
stream = getImageID();
setBatchMode(false);
setBatchMode(true);
arrayoffset = round(newindex/2);
step = newindex/(n+1);
setPasteMode("Copy");
s=1;
for (i=step; i<arrayoffset; i=i+step) {
selectImage(original);
makeLine(newx[round(i)], newy[round(i)], newx[arrayoffset+round(i)], newy[arrayoffset+round(i)]);
run("Reslice [/]...", "input=1.000 output=1.000 start=Top");
run("Select All");
run("Copy");
run("Close");
selectImage(stream); print(s,newindex,i);
setSlice(s); s++;
run("Paste");
} //for i
setBatchMode(false);
} //macro("Radial Sweep [q]")
//*********************************
function calculateMaximumRadius (xx, yy, length){
arrayoffset = round(length/2);
maxrad = -1;
for (i=0;i maxrad) maxrad = rad;
} // for i
return (maxrad);
}
//*********************************
function getLineValues(x1, y1, x2, y2) {
dx = x2-x1;
dy = y2-y1;
n = round(sqrt(dx*dx + dy*dy));
xinc = dx/n;
yinc = dy/n;
n++;
values = newArray(n);
i = 0;
do {
values[i++] = getPixel(x1,y1);
x1 += xinc;
y1 += yinc;
} while (i<n);
return values;
}
timelapse-stacks-v105.txt
//Macro for ImageJ by
//Michael Cammer cammer@aecom.yu.edu for AIF www.aecom.yu.edu/aif/
//Data presented or published using this/these macro(s)/function(s) or modification(s) thereof
//must acknowledge the "Analytical Imaging Facility at the Albert Einstein College of Medicine"
//and ImageJ as explained at rsb.info.nih.gov/ij/docs/faqs.html
// Michael Cammer 20030118
// macros for cleaning up time series data
//---------------------------------------------
// User selects a ROI in the background of a stack.
// This ROI is measured in each slice and the mean value of each slice is subtracted
// from the correct slice. This corrects for variation in background value over time.
function checkCurrentVersion(){
requires('1.38d');
}
macro 'Subtract background based on ROI'{
checkCurrentVersion();
run("Set Measurements...", " mean redirect=None decimal=0");
run("Plot Z-axis Profile"); run("Close");
for (i=1; i<=nSlices; i++){
bgmean=getResult("Mean",(i-1));
run("Set Slice...", "slice="+i);
run("Select All");
run("Subtract...", "slice value="+bgmean);
}
//-----------------------------------------------
macro 'Multiply to fix bleaching based on ROI'{
checkCurrentVersion();
original = getImageID();
run("Set Measurements...", " mean redirect=None decimal=0");
run("Plot Z-axis Profile"); run("Close");
standard = getResult("Mean",(0));
selectImage(original);
for (i=1; i<=nSlices; i++){
bgmean = standard / getResult("Mean",(i-1));
run("Set Slice...", "slice="+i);
run("Select All");
run("Multiply...", "slice value="+bgmean);
}
//-----------------------------------------------
macro "paste with blend adjacent slices"{
checkCurrentVersion();
original = getImageID();
selectImage(original);
for (i=2;i<=nSlices;i++) {
run("Set Slice...", "slice="+i); run("Select All"); run("Copy");
run("Set Slice...", "slice="+(i-1)); setPasteMode("Average"); run("Paste");
}
selectImage(original);
run("Set Slice...", "slice="+nSlices); run("Delete Slice");
run("Set Slice...", "slice="+1); run("Delete Slice");
run("Brightness/Contrast...");
}
//------------------------------------------
macro "paste with subtract adjacent slices"{
checkCurrentVersion();
original = getImageID();
selectImage(original);
for (i=2;i<=nSlices;i++) {
run("Set Slice...", "slice="+i); run("Select All"); run("Copy");
run("Set Slice...", "slice="+(i-1)); setPasteMode("Subtract"); run("Paste");
}
selectImage(original);
run("Set Slice...", "slice="+nSlices); run("Delete Slice");
run("Set Slice...", "slice="+1); run("Delete Slice");
run("Brightness/Contrast...");
}
//--------------------------------
macro "make test image"{
checkCurrentVersion();
x=0; y=0;
for (i=1;i<=nSlices;i++) {
run("Set Slice...", "slice="+i);
setPixel(x, y, 255); setPixel(round(x*1.25), y, 255);
setPixel(100+(2*random()), 80+(2*random()), 255);
x=x+1; y=y+1;
}
}
//------------------------------------------------------------------
macro 'Projections of variable width'{
checkCurrentVersion();
original = getImageID();
end = nSlices();
zdepth = 4;
projtype = "'Max Intensity'" ; // or 'Average Intensity' or some other type
for (i=1;i<(end-zdepth);i++){
stop = i + zdepth;
run("Z Project...", "start="+i+" stop="+stop+" projection="+projtype);
run("Select All");
run("Copy");
run("Close");
selectImage(original);
run("Set Slice...", "slice="+i);
run("Paste");
}
}
//-------------------------------------------------------------------
macro "Subtract adjacent slices in a stack SLOW"{
checkCurrentVersion();
original = getImageID();
height = getHeight(); width = getWidth(); bits = bitDepth();
run("New...", "name=early type="+bits+"-bit fill=White width="+width+" height="+height+" slices=1");
early = getImageID();
run("New...", "name=late type="+bits+"-bit fill=White width="+width+" height="+height+" slices=1");
late = getImageID();
selectImage(original);
run("Set Slice...", "slice=1"); run("Select All"); run("Copy");
selectImage(late);
run("Paste");
selectImage(original);
for (i=2;i<=nSlices;i++) {
tempvalue = early; early = late; late = tempvalue;
run("Set Slice...", "slice="+i); run("Select All"); run("Copy");
selectImage(early);
run("Paste");
run("Image Calculator...", "image1=late operation=Subtract image2=early create ");
run("Select All"); run("Copy"); run("Close");
selectImage(original);
run("Set Slice...", "slice="+(i-1)); run("Paste");
}
selectImage(early); run("Close");
selectImage(late); run("Close");
selectImage(original); run("Set Slice...", "slice="+nSlices); run("Delete Slice");
run("Set Slice...", "slice="+1); run("Delete Slice");
run("Brightness/Contrast...");
}
//------------------------------------------
//Macro for ImageJ by
//Michael Cammer cammer@aecom.yu.edu for AIF www.aecom.yu.edu/aif/
//Data presented or published using this/these macro(s)/function(s) or modification(s) thereof
//must acknowledge the "Analytical Imaging Facility at the Albert Einstein College of Medicine"
//and ImageJ as explained at rsb.info.nih.gov/ij/docs/faqs.html
// A circle ROI is drawn on a timelapse stack such that the center of the circle is the centroid
// of the feature to be measured over time and that the entire object at every time is contained within the
// perimeter of the circle.
// Then radii spaced by step size perimeter / n step around and are resampled in the time axis
// and pasted into a new window.
macro"Radial Sweep [q]"{
requires("1.34k");
run("Set Scale...", "distance=1 known=1 pixel=1 unit=px");
n =256; // number of pixels on perimeter of circle to be sampled.
run("Set Measurements...", " centroid redirect=None decimal=0");
run("Measure");
xc = getResult("X", nResults-1);
yc = getResult("Y", nResults-1);
selectWindow("Results");
run("Close");
slices = nSlices();
// This routine gets all the pixels along a ROI, not just vertices.
// It only works with the magic wand tool or a complete freehand ROI tool.
// It does not work with the polygon tool!
getSelectionCoordinates(x_, y_);
x = newArray(x_.length+1);
y = newArray(x_.length+1);
for (i=0; i<x_.length; i++){
x[i] = x_[i];
y[i] = y_[i];
}
x[x_.length] = x_[0];
y[y_.length] = y_[0];
newx = newArray(65535);
newy = newArray(65535);
newindex = 0;
for (i=0; i<x.length; i++){
if (i 0) step = 1; else step = -1;
for (k=y0; k!=y1; k=k+step) {
newx[newindex] = x[i];
newy[newindex] = k;
newindex++;
} // for k
} // if (x[i+1] == x[i])
if (y[i+1] == y[i]){
x0 = x[i];
x1 = x[i+1];
dx = x1 - x0;
if (dx > 0) step = 1; else step = -1;
for (k=x0; k!=x1; k=k+step) {
newx[newindex] = k;
newy[newindex] = y[i];
newindex++;
} // for k
} // if (y[i+1] == y[i])
if ( (x[i] != x[i+1]) && (y[i]!=y[i+1]) ){
newx[newindex] = x[i];
newy[newindex] = y[i];
newindex++; }
} // if (i < (x.length-1))
} // for i
// This is the end of the routine that gets the coordinates along the edge.
// The coordinates are stored in the arrays x and y.
setBatchMode(true);
// this is to find the longest radius to make a new window this width or to rescale the shorter lines this length
maxradius = calculateMaximumRadius (newx, newy, newindex);
original = getImageID();
originaltitle = getTitle();
bits = bitDepth();
newImage("stream_", bits, maxradius, slices, round(n/2));
stream = getImageID();
setBatchMode(false);
setBatchMode(true);
arrayoffset = round(newindex/2);
step = newindex/(n+1);
setPasteMode("Copy");
s=1;
for (i=step; i<arrayoffset; i=i+step) {
selectImage(original);
makeLine(newx[round(i)], newy[round(i)], newx[arrayoffset+round(i)], newy[arrayoffset+round(i)]);
run("Reslice [/]...", "input=1.000 output=1.000 start=Top");
run("Select All");
run("Copy");
run("Close");
selectImage(stream); print(s,newindex,i);
setSlice(s); s++;
run("Paste");
} //for i
setBatchMode(false);
} //macro("Radial Sweep [q]")
//*********************************
function calculateMaximumRadius (xx, yy, length){
arrayoffset = round(length/2);
maxrad = -1;
for (i=0;i maxrad) maxrad = rad;
} // for i
return (maxrad);
}
//*********************************
function getLineValues(x1, y1, x2, y2) {
dx = x2-x1;
dy = y2-y1;
n = round(sqrt(dx*dx + dy*dy));
xinc = dx/n;
yinc = dy/n;
n++;
values = newArray(n);
i = 0;
do {
values[i++] = getPixel(x1,y1);
x1 += xinc;
y1 += yinc;
} while (i<n);
return values;
}
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arjmx383: Guilty @crossfitproper
crossfitproper: Let's go @arjmx383
g0rg30us_nightmar3: @caleebee
caleebee: @g0rg30us_nightmar3 That's so me!!!
crossfitproper: #summer #grandflora #bebetter #crossfitgirls #heat #badboys #health #fitness #weekend #swimming #eatright #nutrition #gethealthy #crossfitproper #stayfocused #goals #teamherbalife #mindset #trainhard #progression #herbalife #noexcuses #getresults #crossfit #getfit #beautiful #cute #crazy #fashion #love
fitnessjennii: Nice!
//Macro for ImageJ by
//Michael Cammer cammer@aecom.yu.edu for AIF www.aecom.yu.edu/aif/
//Data presented or published using this/these macro(s)/function(s) or modification(s) thereof
//must acknowledge the "Analytical Imaging Facility at the Albert Einstein College of Medicine"
//and ImageJ as explained at rsb.info.nih.gov/ij/docs/faqs.html
// revision 1.02 July 11, 2005
// This macro finds the area of the traced object.
// Assuming this area is of a perfect circle, the radius is calculated.
// Then the difference between the circle's radius and the real radii are calculated.
// This version measures the number of radii, evenly spaced, specified by variable n.
// All radii are normalized by a factor such that the standard radius is always 100.
macro"Radial Sweep [q]"{
requires('1.34k');
n = 256;
run("Set Scale...", "distance=1 known=1 pixel=1 unit= global");
run("Set Measurements...", " centroid area redirect=None decimal=0");
run("Measure");
xc = getResult("X", nResults-1);
yc = getResult("Y", nResults-1);
A = getResult("Area", nResults-1);
selectWindow("Results");
run("Close");
r = sqrt(A/3.1415);
factor = 100 / r;
r = r * factor;
// This routine gets all the pixels along a ROI, not just vertices.
// It only works with the magic wand tool or a complete freehand ROI tool.
// It does not work with the polygon tool!
getSelectionCoordinates(x_, y_);
x = newArray(x_.length+1);
y = newArray(x_.length+1);
for (i=0; i<x_.length; i++){
x[i] = x_[i];
y[i] = y_[i];
}
x[x_.length] = x_[0];
y[y_.length] = y_[0];
newx = newArray(65535);
newy = newArray(65535);
newindex = 0;
for (i=0; i<x.length; i++){
if (i 0) step = 1; else step = -1;
for (k=y0; k!=y1; k=k+step) {
newx[newindex] = x[i];
newy[newindex] = k;
newindex++;
} // for k
} // if (x[i+1] == x[i])
if (y[i+1] == y[i]){
x0 = x[i];
x1 = x[i+1];
dx = x1 - x0;
if (dx > 0) step = 1; else step = -1;
for (k=x0; k!=x1; k=k+step) {
newx[newindex] = k;
newy[newindex] = y[i];
newindex++;
} // for k
} // if (y[i+1] == y[i])
if ( (x[i] != x[i+1]) && (y[i]!=y[i+1]) ){
newx[newindex] = x[i];
newy[newindex] = y[i];
newindex++; }
} // if (i < (x.length-1))
} // for i
// This is the end of the routine that gets the coordinates along the edge.
// The coordinates are stored in the arrays x and y.
//setBatchMode(true);
stepsize = floor(newindex/n); //stepsize = 1;
print('//************************'); print(getTitle());
difference = newArray(65535);
newindex = newindex - 1;
sum = 0; count = 0;
for (i=0; i<newindex; i=i+stepsize) {
dx = xc - newx[i];
dy = yc - newy[i];
diag = factor * (sqrt ( (dx*dx) + (dy*dy) ));
//print(diag-r);
difference[count] = diag-r;
sum = sum + (diag-r); count++;
}
average = sum /count;
print("area", A);
print("average", average);
dif = newArray(count);
for(i=0;i 1){
variance = calculateUnbiasedVariance(a);
print("variance", variance);
stdev = pow(variance, 0.5);
print("stdev", stdev);
return stdev;}
else
return 0;
}
//----------------------------------------------------------------------------------
//Calculates BIASED variance as defined at davidmlane.com/hyperstat/A16252.html
//It is biased because it tends to underestimate the spread.
//We, however, like to err on the side of caution, a.k.a. UNBIASED.
//The variance is a measure of how spread out a distribution is.
//It is computed as the average squared deviation of each number from its mean.
//Function is passed an array of numbers and returns a single number.
function calculateBiasedVariance(a){
//get the mean
sum = 0;
for (i=0;i<a.length;i++) sum = sum + a[i];
mean = sum / a.length;
//get the top of the equation
sum2 = 0;
for (i=0;i 1){
//get the mean
sum = 0;
for (i=0;i<a.length;i++) sum = sum + a[i];
mean = sum / a.length;
//get the top of the equation
sum2 = 0;
for (i=0;i0) {
stdDev = (n*sum2-sum*sum)/n;
if (stdDev>0.0)
stdDev = Math.sqrt(stdDev/(n-1.0));
else
stdDev = 0.0;
}
else
stdDev = 0.0;
}
#visualize #visualization #achieve #successful #successtips #successquotes #spiritualpractice #succeed #vibration #frequency #abundance #aspiration #aspire #alive #inspirationalquotes #lawofattraction #goalsetting #getresults #mindpower #manifest #universe #empowerment #enlighten #enlightenment #repetition #createyourownreality #creating #consciousness #becomeit 1. Always visualize your goal as if it’s actually happening to you right now. Make it real in your mind; make it detailed. Enter the role and become it in your mind. 2. Visualize your goal at least once a day, each and every day. There is power in repetition. Any thought put into your mind, and nourished regularly, will produce results in your life . - invisibleforces1
#visualization #visualize #mindpower #universe #spiritualpractice #lawofattraction #vibration #vibrational #repetition #goalsetting #direction #successful #successquotes #inspirationalquotes #successtips #aspire #aspiration #achievement #achieve #excellence #powerful #abundance #awaken #consciousness #createyourownreality #creating #alive #enlightenment #empowerment #getresults 1. Always visualize your goal as if it’s actually happening to you right now. Make it real in your mind; make it detailed. Enter the role and become it in your mind. 2. Visualize your goal at least once a day, each and every day. There is power in repetition. Any thought put into your mind, and nourished regularly, will produce results in your life . - invisibleforces1
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