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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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Set goals, get results - motivational word abstract on a napkin with a cup of espresso coffee

  

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6 Comments on Instagram:

 

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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Set goals, get results - motivational word abstract on a napkin with a cup of espresso coffee

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