For scripting with ImageJ and Fiji using Javascript, an concise introduction is available at the ImageJ website. An excellent tutorial could be found at the Fiji website. Assuming that you have done this tutorial already, I list some practical usage examples in below.
If you need more examples, Jython examples are recommended. Their usage of ImageJ Java classes provides many hints.
dc = DirectoryChooser("Select an output folder..."); dir = dc.getDirectory(); IJ.log(dir);
importClass(Packages.ij.io.OpenDialog); od = new OpenDialog("Open As String", ""); directory = od.getDirectory(); name = od.getFileName(); path = directory + name; IJ.log(path);
// Example code for managing path strings. // Kota Miura (miura@embl.de) // ... assumes Unix style path // ... assumes that the script is executed from command line. // ... argment should be in the form <a path>:<another path> args = getArgument(); importClass(Packages.ij.util.Tools); argA = Tools.split(args, ":"); IJ.log(argA[0]); IJ.log(argA[1]); fpA = Tools.split(argA[0], "/"); path = "/"; for (i in fpA){ if (i != (fpA.length - 1)) path = path + fpA[i] + "/"; else file = fpA[i]; } traindata =argA[1]; IJ.log(path); IJ.log(file); IJ.log(traindata);
https://github.com/miura/ijmacros/blob/master/PathStringManagement.js
Note that line 21 uses java.lang.String class explicitly, for using endsWith() method in the line 22. Otherwise the string variable “filepath” is a type of JS string which does not have endsWith() method.
// Example javascript for loading data from a series of CSV files in a folder. // // Assumes that these files are data output from other processing, // and all data has same format. // This script uses openCSV, which is included in Fiji. // for more details on openCSV, visit the URLbelow. // http://opencsv.sourceforge.net/ // 20110822 Kota Miura (miura@embl.de) importPackage(Packages.util.opencsv); importPackage(java.io); //path = "/Users/miura/Dropbox/data"; //unix path = "C:/dropbox/My\ Dropbox/data"; //win dir = new File(path); filesA = dir.list(); sp = File.separator; for (var i=0; i<filesA.length; i++) { filepath = java.lang.String(dir + sp + filesA[i]); if (filepath.endsWith(".txt") || filepath.endsWith(".csv")) { IJ.log(filepath); readCSV(filepath); } else { IJ.log("Igonored: " + filepath); } } // reads out 5th column in the CSV file // using readALL method function readCSV(filepath) { var reader = new CSVReader(new FileReader(filepath), " "); var ls = reader.readAll(); var it = ls.iterator(); while (it.hasNext()){ var carray = it.next(); IJ.log(carray[4]); } } // reads out 5th column in the CSV file // using readNext method, output is similar to readAll function readCSVbyLine(filepath) { var reader = new CSVReader(new FileReader(filepath), " "); while ((nextLine = reader.readNext()) != null) { // nextLine[] is an array of values from the line IJ.log(nextLine[4]); } }
This example is in Jython (Python style Java scripting).
from util.opencsv import CSVWriter from java.io import FileWriter from java.lang.reflect import Array from java.lang import String, Class writer = CSVWriter(FileWriter("c:/temp/testcsv.csv"), ',') data = Array.newInstance(Class.forName("java.lang.String"), 3) #String[] entries = "first#second#third".split("#"); data[0] = str(11) data[1] = str(23) data[2] = str(5555) writer.writeNext(data) writer.close()
Bitwise AND is often used as switching ON/OFF multiple options. For Example:
DISPLAY_SUMMARY = 256; SHOW_ROI_MASKS = 4096; options = SHOW_ROI_MASKS + DISPLAY_SUMMARY; if ((options&SHOW_ROI_MASKS)!=0) IJ.log("SHOW_ROI_MASKS selected");
Switching ON/OFF is controlled using 16bit binary a.k.a 16 digit binary number. 256 is
0000000100000000
9th digit from the right is “1”, the place where ON/OFF of DISPLAY_SUMMARY is controlled. 4096 is
0001000000000000
13th digit controls the ON/OFF of SHOW_ROI_MASKS. If you need to turn these options on,
0001000100000000
both 9th and 13th digits should be 1. To construct this binary number, it simply is:
256 + 4096 = 4352 bin(4352) = 0001000100000000
To check if “options” (a number) contains SHOW_ROI_MASKS, one compares if corresponding digit (13th) is turned ON. To do so, we use Bitwise AND.
(0001000100000000) AND (0001000000000000) result: 0001000000000000
meaning that
((options&SHOW_ROI_MASKS)!=0)
is true.
Above is a short example made for showing how to control ParticleAnalyzer options.
Javascript Function is a class that takes variable length of arguments. Even if there is no arguments declared in the function, one could add ones in runtime and could be retrieved from inside the function using Functions object 'Arguments'.
// normal way of writing function function add01(a, b) { return a+b; } //using 'argument' object of class Function function add02(a, b) { return arguments[0] + arguments[1]; } IJ.log(add01(1, 2)); // prints 3 IJ.log(add02(1, 2)); // prints 3 as well IJ.log("------"); // a bit more with arguments // to show that 'arguments' could be with any length function sum() { var result = 0; for (var i = 0, n = arguments.length; i < n; i++) { result += arguments[i]; } return result; } IJ.log(sum(1, 2, 3)); // prints 6 IJ.log(sum(1, 2, 3, 4, 5, 6)); // prints 21
rt = ResultsTable(); for (var i = 0; i < 10; i++){ rt.incrementCounter(); rownum = rt.getCounter()-1; rt.setValue("testcol", rownum, Double.valueOf(i*i)); } rt.show("Results");
To abort the running script, use the following function. I got this from here.
function javascript_abort(){ throw new Error('This is not an error. This is just to abort javascript'); }
Keep in mind that java array and Javascript array are different types.
For some array treatments, this matters a lot and keeping your arrays either Java array or Javascript array is pretty important. Below is an example of Java > javascript array conversion and also how to check the object type. For constructing Java array in javascript, see here.
//as an example, you first get an array from //Results table in ImageJ. // this array is Java array. rt = ResultsTable.getResultsTable(); sliceA = rt.getColumn(rt.getColumnIndex("Slice")); //converting java array to javascript array sliceJSA = []; for (var i =0; i < sliceA.length; i++) sliceJSA.push(sliceA[i]); //check object types IJ.log("sliceA class: " + Object.prototype.toString.call(sliceA)); IJ.log("sliceJSA class: " + Object.prototype.toString.call(sliceJSA));
//prepare some data data = [10.0, 100.0, -1.0, 9.0, 200.0, 1.0]; data.sort(); IJ.log(data.valueOf()); //prints -1,1,10,100,200,9 // Comparator should be created. //here we go again data = [10.0, 100.0, -1.0, 9.0, 200.0, 1.0]; // create a comparator function comp(a, b){ return (a - b); } data.sort(comp); IJ.log(data.valueOf()); //prints -1,1,9,10,100,200
Consider a situation of having a list of file names in an array filesA in the follwoing order, and we want to sort the name so the numbering is in ascending order.
110608wt2.tif.proc.tif.noseg.tif8_9.txt 110608wt2.tif.proc.tif.noseg.tif9_10.txt 110608wt2.tif.proc.tif.noseg.tif10_11.txt 110608wt2.tif.proc.tif.noseg.tif0_1.txt 110608wt2.tif.proc.tif.noseg.tif1_2.txt 110608wt2.tif.proc.tif.noseg.tif2_3.txt 110608wt2.tif.proc.tif.noseg.tif3_4.txt 110608wt2.tif.proc.tif.noseg.tif4_5.txt 110608wt2.tif.proc.tif.noseg.tif5_6.txt 110608wt2.tif.proc.tif.noseg.tif6_7.txt 110608wt2.tif.proc.tif.noseg.tif7_8.txt
Such sorting could be done by combining regular expression matching.
importPackage(java.io); path = "c:\\files"; dir = new File(path); filesA = dir.list(); sp = File.separator; filesA.sort(comparator); for (var i=0; i<filesA.length; i++) { filepath = java.lang.String(dir + sp + filesA[i]); if (filepath.endsWith(".txt")) IJ.log(filesA[i]); else IJ.log("Igonored: " + filepath); } function comparator(stra, strb){ // regular expression to extract numberings var patt1 = /\.tif([0-9]{1,10})_/i; regexa = stra.match(patt1); regexb = strb.match(patt1); return (regexa[1] - regexb[1]) }
Above code will then prints out:
110608wt2.tif.proc.tif.noseg.tif0_1.txt 110608wt2.tif.proc.tif.noseg.tif1_2.txt 110608wt2.tif.proc.tif.noseg.tif2_3.txt 110608wt2.tif.proc.tif.noseg.tif3_4.txt 110608wt2.tif.proc.tif.noseg.tif4_5.txt 110608wt2.tif.proc.tif.noseg.tif5_6.txt 110608wt2.tif.proc.tif.noseg.tif6_7.txt 110608wt2.tif.proc.tif.noseg.tif7_8.txt 110608wt2.tif.proc.tif.noseg.tif8_9.txt 110608wt2.tif.proc.tif.noseg.tif9_10.txt 110608wt2.tif.proc.tif.noseg.tif10_11.txt
To study more about Javascript regular expression, maybe visit here.
I thought of Math.max(array.valueOf()) seemingly should work, but it doesn't. It should be like this:
var testa = Array(); testa[0] = 10.3; testa[1] = 20.1; testa[2] = 100.9; testa[3] = 5.1; minval = Math.min.apply(Math, testa); maxval = Math.max.apply(Math, testa); IJ.log("Minimum value: " + minval); IJ.log("Maximum value: " + maxval);
This is because Math.min and Math.max methods only takes individual numbers, not an array. To unpack an array, apply() method of class Function is used. An example below depicts its usage.
var sum = function(){ var result = 0; for (var i = 0, n = arguments.length; i < n; i++) { result += arguments[i]; } return result; }; data01 = [1, 2, 3]; data02 = [1, 2, 3, 4, 5, 6]; ans = sum.apply(sum, data01); IJ.log(ans); ans = sum.apply(sum, data02); IJ.log(ans);
… I mean if you want to sum up, you don't really have to be bulky but method apply() has so many flexibility in applying methods to any objects.
Use Array.forEach(function) method.
data = [10.0, 100.0, -1.0, 9.0, 200.0, 1.0]; data.forEach(printArray); IJ.log("---") data.forEach(squaredArray); function printArray(x, idx) { IJ.log('['+idx+'] = '+x); } function squaredArray(x, idx) { IJ.log('['+idx+'] = '+ Math.pow(x,2)); }
Output:
[0] = 10 [1] = 100 [2] = -1 [3] = 9 [4] = 200 [5] = 1 --- [0] = 100 [1] = 10000 [2] = 1 [3] = 81 [4] = 40000 [5] = 1
Source array is not affected in this case. If you want to modify the array itself, use Array.map(function) examples in the following. See more examples at this site.
map() function is convenient if you want to have an output array after processing each element.
// this will be an example array xA = [5, 25, 75, 100]; // create an object with a field 'factor' and a method 'multiply' var obj = { factor: 2, multiply: function (x){ return x * this.factor; } } // ... factor 2 will then be the default value. //use Array.map(function, obj) to calculate all elements at once. array = xA.map(obj.multiply, obj); IJ.log(array.join()); // prints 10,50,150,200 //replace the factor. obj.factor = 4; array = xA.map(obj.multiply, obj); IJ.log(array.join()); //prints 20,100,300,400
Here are examples of horizontal and vertical slicing of a 2D array. Vertical slicing is a bit complex, but I could not figure out other ways. If you know one, please tell me. What supposed to be something like v1 = allA[:, 1] in Python would be much easier.
//multidimensional array slicing print = IJ.log; xA = [1, 2, 3]; yA = [40, 50, 60]; zA = [-1, -2, -3]; allA = [xA, yA, zA]; //this is a multidimensional array print(allA[1][2]); //prints 60 print(allA[1]); //prints 40,50,60, (sliced horizontally) v1 = allA.map(function (v){return v[1];});//(sliced vertically) print(v1); //prints 2,50,-2 print(v1[2]); //prints -2 //--- here is another way of vartical slicing, // longer but more clear with what's happening. var obj = {sliceindex:1}; //prepare an aboject with variable v1 = allA.map(returnVert, obj); //use map function returnVert(see below) //with context of object 'obj' //prints three lines of 'slice index:1' during map exexution print(v1); //prints 2,50,-2 // v: one dimensional array passed from map function // id: index of the one dimensional array passed, within // the multidimensional array // a: parent array (= itself, in our case allA) function returnVert(v, id, a){ print("slice index:" + this.sliceindex); //this.sliceindex will be passed from obj return a[id][this.sliceindex]; }
An application of vertical slicing, matrix transposition.
//transposing data matrix function transp(incoords){ var transposed = [] // for(var i = 0; i < incoords[0].length; i++){ for(var i in incoords[0]){ transposed.push(incoords.map(function(v){return v[i];})); } return transposed; } data = [ [0, 1, 2], [3, 4, 5], [6, 7, 8]]; var tdata = transp(data); for (i in data) IJ.log(data[i]); /* prints 0,1,2 3,4,5 6,7,8 */ for (i in tdata) IJ.log(tdata[i]); /* prints 0,3,6 1,4,7 2,5,8 */
ResultsTable.getResultsTable().clone().show("duplicated");
To suppress creation of image windows, you could activate BatchMode. Corresponding function in ImageJ is setBatchMode(true) and setBatchMode(false).
importClass(Packages.ij.macro.Interpreter); macro = new Interpreter(); // activate batchmode (= setBatchMode(true) in IJ macro) macro.batchMode = true; //when error occurrs and execution is terminated during batchmode=true, //you might not see any images anymore (even if you try to open a new one manually). // To avoid, do something like below to catch error and deactivate the batchmode. try { IJ.run(imp, "do process...", op); catch(err){ macro.batchMode = false; IJ.log("!Error with do process..."); IJ.log(err.rhinoException.toString()); IJ.log(err.javaException.toString()); } //deactivate batchmode macro.batchMode = false;
function imagewinKiller(){ var wins = WindowManager.getIDList(); for (var i = 0; i < wins.length; i++) WindowManager.getImage(wins[i]).close(); }
// example of implementing and extending java interface importPackage(java.awt.event); // extends MouseAdapter, implements MouseMotionListener var mouseListener = new JavaAdapter(MouseAdapter, MouseMotionListener, { mouseClicked: function(event) { IJ.log("clicked" + " (" + event.getX() + "," + event.getY() + ")"); }, mouseDragged: function(event) { IJ.log("dragged"); }, mouseMoved: function(event) { } }); imp = IJ.getImage(); var win = imp.getWindow(); win.getCanvas().addMouseListener(mouseListener); win.getCanvas().addMouseMotionListener(mouseListener);
As of 20131120, above code works with “Run” in Fiji script editor, but it DOES NOT work if you save the script as a file and run it using [Macro > Plugins > Run]. This probably is caused by the difference in javascript engine version: Fiji script editor uses jar/js.jar, but the latter method uses JS evaluator packaged with JRE. Following code works with [Macro > Plugins > Run…]. Difference is that the constructor for JavaAdaptor in this case uses two arguments, rather than three arguments. This problem was pointed out by Torsten Stöter (Uni. Magdeburg) and following fix was contributed by him. Thanks to Torsten!
var mouseListener = new JavaAdapter(MouseListener, /*MouseMotionListener,*/ { mouseClicked: function(event) { IJ.log("clicked" + " (" + event.getX() + "," + event.getY() + ")"); }, mouseDragged: function(event) { IJ.log("dragged"); }, mouseMoved: function(event) { } });
An example of overlay function in ImageJ / Fiji.
For drawing Arrows, use commented out lines.
overlayLine(10, 10, 40, 40); overlayLine(40, 40, 10, 70); function overlayLine(x1, y1, x2, y2){ importClass(Packages.ij.gui.Overlay); importClass(Packages.java.awt.Color); imp = IJ.getImage(); //roi1 = Arrow( 110, 245, 111, 246); roi1 = Line(x1, y1, x2, y2); //roi1.setWidth(1.5); //roi1.setHeadSize(3); imp.setRoi(roi1); overlay = imp.getOverlay(); if (overlay != null) overlay.add(roi1); else overlay = Overlay(roi1); red = Color(1, 0, 0); overlay.setStrokeColor(red); imp.setOverlay(overlay); imp.updateAndDraw() ; //IJ.log("head " + roi1.getDefaultHeadSize()); //IJ.log("head " + roi1.getDefaultWidth()); }
function alias2frames(imp, i){ var stack = imp.getStack(); var tempstk = new ImageStack(imp.getWidth(), imp.getHeight()); tempstk.addSlice(String(i), stack.getProcessor(i).clone()); tempstk.addSlice(String(i+1), stack.getProcessor(i+1).clone()); var imp2 = new ImagePlus("temp", tempstk); return imp2 }
//Example Javascript for Background substraction using ImageMath // Kota Miura (miura@embl.de) //get ImagePlus of the active window imp = IJ.getImage(); //duplicate and blurr images blurrimp = imp.duplicate(); IJ.run(blurrimp, "Gaussian Blur...", "sigma=15 stack"); //subtract the blurred from the original ic = new ImageCalculator(); for (var i=1; i<=imp.getStackSize(); i++){ imp.setSlice(i); blurrimp.setSlice(i); ic.run("Subtract", imp, blurrimp); }
// Example script for using trainable segmentation // -- assumes that an extra plugin by Kota is installed // -- assumes that you already have "trained data" arff // 20110819 // Kota Miura (miura@embl.de) // get currently active image / image stack imp = IJ.getImage(); //path to the arff data traindata = "D:\\People\\Tina\\20110813\\data02.arff"; importClass(Packages.emblcmci.DotSegmentByTrained); dbt = new DotSegmentByTrained(traindata, imp); binimp = dbt.runsilent(); binimp.show();
https://github.com/miura/ijmacros/blob/master/TrainableSegmentationByTrained.js
Another version without using the plugin above.
importClass(Packages.trainableSegmentation.WekaSegmentation); imp = IJ.getImage(); ws = WekaSegmentation(imp); ws.loadTrainingData('C:\\t\\data.arff'); if (ws.trainClassifier()){ impout = ws.getClassifiedImage(); if (impout == null) IJ.log("failed retrieving output"); else { impout.show(); } }
3D processing generally consumes long long time for calculation, so better been done silently and headlessly. Here is one recipe using 3D processor plugin, which could be a good hint for doing it in headless (batch) mode. Does not use IJ.rin method, so ImagePlus instance is handed over explicitly.
%gist(1663061)%
https://gist.github.com/miura/1663061
importClass(Packages.ij3d.image3d.IntImage3D); imp=IJ.getImage(); ima=new IntImage3D(imp.getStack()); r=3; ima2=ima.createLocalMaximaImage(r,r,r, true); plus=new ImagePlus("localmaxima",ima2.getStack()); plus.show();
Works in Fiji. Note the use of JavaImporter() from line 12 to 15 for avoiding conflicts in name space.
// affinetransform3D.js // Created: 201107120 by Kota Miura (CMCI, EMBL miura@embl.de) // // Collaborater: Oleg // // written according to the advice from Stephan Saalfeld@mpicbg // http://groups.google.com/group/fiji-users/browse_thread/thread/4e70cd4caf96d180 // TODO try using moving least square. // http://pacific.mpi-cbg.de/javadoc/mpicbg/models/MovingLeastSquaresTransform.html // http://www.ini.uzh.ch/~acardona/api/mpicbg/trakem2/transform/MovingLeastSquaresTransform.html importPackage(Packages.java.util); var mpimodel = new JavaImporter(); var trakmodel = new JavaImporter(); var mpistack = new JavaImporter(); var jarray = new JavaImporter(); mpimodel.importPackage(Packages.mpicbg.models); trakmodel.importPackage(Packages.mpicbg.trakem2.transform); mpistack.importPackage(Packages.mpicbg.ij.stack); jarray.importPackage(Packages.java.lang.reflect); pointPairs = new ArrayList(); testFillPoints(pointPairs); //LS fitting modelM = new trakmodel.AffineModel3D(); //use Albert's class, for printing out matrix modelM.fit( pointPairs ); IJ.log(modelM.toDataString()); // --- preparing target stack size, offsets --- imp = IJ.getImage(); // move this later to the beginning to check if there is indeed an image stack opened ww = imp.getWidth(); hh = imp.getHeight(); dd = imp.getImageStackSize(); // need to use java native array for estimateBounds() method. minA = jarray.Array.newInstance(java.lang.Float.TYPE, 3); maxA = jarray.Array.newInstance(java.lang.Float.TYPE, 3); minA[0] = 0.0; minA[1] = 0.0; minA[2] = 0.0; maxA[0] = ww; maxA[1] = hh; maxA[2] = dd; IJ.log("original:"+ ww.toString() +"," + hh.toString()+ "," + dd.toString()); destsizeA = ReCalcStackSize(modelM, minA, maxA); ww = destsizeA[0]; hh = destsizeA[1]; dd = destsizeA[2]; for (var i in minA) IJ.log(minA[i]); for (var i in maxA) IJ.log(maxA[i]); outstr = "after: "; for (var i in minA) outstr = outstr + destsizeA[i] + ","; IJ.log(outstr); ReCalcOffset(modelM, minA); IJ.log(modelM.toDataString()); // --- stack transformation --- mapping = mpistack.InverseTransformMapping( modelM ); ip = imp.getStack().getProcessor( 1 ).createProcessor( 1, 1 ); target = new ImageStack(ww, hh); for ( var s = 0; s < dd; ++s ) { ip = ip.createProcessor( ww, hh ); mapping.setSlice( s ); try { mapping.mapInterpolated( imp.getStack(), ip ); } catch ( err ) { alert('An error has occurred: '+err.message); } target.addSlice( "", ip ); } impout = ImagePlus("out", target); impout.show(); function testFillPoints(pointPairs) { var p11 = [1, 0, 0]; var p12 = [0, 1, 0]; var p21 = [0, 1, 0]; var p22 = [0, 0, 1]; var p31 = [0, 0, 1]; var p32 = [1, 0, 0]; var p41 = [0.5, 0, 0]; var p42 = [0, 0.5, 0]; pointPairs.add(mpimodel.PointMatch(mpimodel.Point(p11), mpimodel.Point(p12))); pointPairs.add(mpimodel.PointMatch(mpimodel.Point(p21), mpimodel.Point(p22))); pointPairs.add(mpimodel.PointMatch(mpimodel.Point(p31), mpimodel.Point(p32))); pointPairs.add(mpimodel.PointMatch(mpimodel.Point(p41), mpimodel.Point(p42))); IJ.log(pointPairs.toString()); } function ReCalcStackSize(transM, minA, maxA){ transM.estimateBounds(minA, maxA); var newsizeA = [0.0, 0.0, 0.0]; for (var i in newsizeA) newsizeA[i] = Math.ceil(maxA[i] - minA[i]); return newsizeA; } function ReCalcOffset(transM, minA){ var shift = new mpimodel.TranslationModel3D(); var shift.set( -1*minA[0], -1*minA[1], -1*minA[2] ); transM.preConcatenate(shift); }
https://github.com/miura/ijmacros/blob/master/affinetransform3Dv2.js
/* * script for creating a stack with same size of the current stack, and plot xyz dots listed in results window.\ * * Kota Miura */ imp = IJ.getImage(); impdimA = imp.getDimensions(); pt = IJ.runPlugIn(imp, "mosaic.plugins.ParticleTracker3DModular_", "radius=3 cutoff=3 percentile=0.01 link=2 displacement=10"); pt.transferParticlesToResultsTable(); //imp2 = imp.createImagePlus(); ims = imp.createEmptyStack(); for (var i = 0; i < impdimA[3]; i++) ims.addSlice(i, new ByteProcessor(impdimA[0], impdimA[1])); imp2 = new ImagePlus("test", ims); nSlices = imp2.getNSlices(); rt = ResultsTable.getResultsTable(); xindex = rt.getColumnIndex("x"); yindex = rt.getColumnIndex("y"); zindex = rt.getColumnIndex("z"); xA = rt.getColumn(xindex); yA = rt.getColumn(yindex); zA = rt.getColumn(zindex); for (var i = 0; i < xA.length; i++){ IJ.log(xA[i]); cslice=Math.round(zA[i])+1; //z seems to statrt from 0 in tracker result, so add 1. if ((cslice > 0) && (cslice <= nSlices)) { ip = imp2.getStack().getProcessor(cslice); //ip.setColor(255); //ip.drawOval(Math.round(yA[i]), Math.round(xA[i]), 1, 1); //x and y is inverted. ip.set(Math.round(yA[i]), Math.round(xA[i]), 255); //x and y is inverted. } } imp2.show();
Below is an example of calculating statistical values using Apache Commons Math library (already included in Fiji). There are many more you could do with it so explore the API.
//first example, using static methods "StatUtils". importClass(Packages.org.apache.commons.math.stat.StatUtils); test = [1 , 3, 4, 8, 100]; IJ.log(test[2]); mn = StatUtils.mean(test); IJ.log(mn); //above static method is limited with number of things that could be done. //use DescriptiveStatistics then (but consumes more memory) importClass(Packages.org.apache.commons.math.stat.descriptive.DescriptiveStatistics); stats = new DescriptiveStatistics(); // Add the data from the array for(i = 0; i < test.length; i++) { stats.addValue(test[i]); } // Compute some statistics mean = stats.getMean(); std = stats.getStandardDeviation(); median = stats.getPercentile(50); IJ.log(mean); IJ.log(std);
Using 3D vector class in apache commons math.
importClass(Packages.org.apache.commons.math.geometry.euclidean.threed.Vector3D); //construct 2 vectors va = new Vector3D(0.0, 0.0, 2.0); vb = new Vector3D(2.0, 0.0, 0.0); //angle between va and vb ang = Vector3D.angle(va, vb); IJ.log(ang); //add va and vb, and out puts a new vector as a result vc = new Vector3D(1.0, va, 1.0, vb); //prints out elements of the vector vc IJ.log("" + vc.getX()+ "," + vc.getY()+ "," + vc.getZ()); //dot (inner) product of va abd vb dp = va.dotProduct(vb); IJ.log(dp); //cross product of va abd vb vd = va.crossProduct(vb); IJ.log("" + vd.getX()+ "," + vd.getY()+ "," + vd.getZ());
For this, I borrowed a code by Gary Jones published in
http://code.garyjones.co.uk/category/javascript/
//Solving quadratic formula /** * Rounds number to "dp" decimal places. * * @author Gary Jones * @link http://code.garyjones.co.uk/category/javascript/ */ function chop(number, decimal_places) { var multiplier = Math.pow(10, decimal_places) // makes multiplier = 10^decimal_places. number = ( Math.round( number * multiplier ) ) / multiplier; /* if ( document.layers ){ // Tidies Netscape 4.x appearance. if ( number < 1 && number >= 0 ) number = "0" + number; // makes .752 to 0.752 if ( number < 0 && number >-1 ) number = "-0" + number * -1 // makes -.367 to -0.367 } */ return number; } /** * Finds two roots. * * For ax^2 + bx + c = 0, use quadratic("a", "b", "c", "+") and quadratic("a", "b", "c", "-"). */ function quadratic(aq, bq, cq, root) { var complex, lambda, lambdaone, lambdatwo, plusminusone, plusminustwo, bsmfac = bq * bq - 4 * aq * cq, precision = 3; if ( bsmfac < 0 ) { // Accounts for complex roots. plusminusone = " + "; plusminustwo = " - "; bsmfac *= -1; complex = Math.sqrt( bsmfac ) / ( 2 * aq ); if ( aq < 0 ){ // if negative imaginary term, tidies appearance. plusminusone = " - "; plusminustwo = " + "; complex *= -1; } lambdaone = chop( -bq / ( 2 * aq ), precision ) + plusminusone + chop( complex, precision ) + 'i'; lambdatwo = chop( -bq / ( 2 * aq ), precision ) + plusminustwo + chop( complex, precision ) + 'i'; } else if ( 0 == bsmfac ){ // Simplifies if b^2 = 4ac (real roots). lambdaone = chop( -bq / ( 2 * aq ), precision ); lambdatwo = chop( -bq / ( 2 * aq ), precision ); } else { // Finds real roots when b^2 != 4ac. lambdaone = (-bq + (Math.sqrt( bsmfac ))) / ( 2 * aq ); lambdaone = chop( lambdaone, precision ); lambdatwo = (-bq - (Math.sqrt( bsmfac ))) / ( 2 * aq ); lambdatwo = chop( lambdatwo, precision ); } ( '+' == root ) ? lambda = lambdaone : lambda = lambdatwo; return lambda; // Returns either root based on parameter "root" passed to function. }
https://github.com/miura/ijmacros/blob/master/roiProfileGaussFitterV3.js
In the second function, profileA is an array with intensity profile, and doPlot is an boolean flag for plotting the curve fitting result.
Note Line 18 and 19, where type conversion between Java array and javascript array is done.
// cf: class CurveFitter // cfp: fitted parameter array // estD: estimated diameter function PlotFitted(xA, yA, cf, cfp, estD){ var fitA = []; for (i in yA) fitA[i] = cf.f(cfp, i); fitplot = Plot("fitted", "pixels", "intensity", xA, fitA) fitplot.addPoints(xA, yA, fitplot.CIRCLE) fitplot.addLabel(0.1, 0.1, estD) fitplot.show() } //returns diameter and goodness of fit in addition to the fit results parameters. function GaussFitReturnPara(profileA, doPlot){ //var pixx = []; var resultsA = []; var pixx = java.lang.reflect.Array.newInstance(java.lang.Double.TYPE, profileA.length); for (var i=0; i<profileA.length ; i++) pixx[i] = Number(i); cf = new CurveFitter(pixx, profileA); cf.doFit(cf.GAUSSIAN); IJ.log(cf.getResultString()); //debugging cfp = cf.getParams(); //diameter = 2.355*cfp[3]; half max diameter = 4*cfp[3]; // 2*sigma EstimatedDiameter = "Diameter =" + diameter; IJ.log("Goodness of Fit (1.0 is the best): " + cf.getFitGoodness()); IJ.log("Estiamted Diameter = " + diameter); if (doPlot) PlotFitted(pixx, profileA, cf, cfp, EstimatedDiameter); var resA = HashMap(); resA.put(headerA[0], cf.getIterations()); resA.put(headerA[1], cf.getRestarts()); resA.put(headerA[2], sqsum(cf.getResiduals())); resA.put(headerA[3], cf.getSD()); resA.put(headerA[4], cf.getRSquared()); resA.put(headerA[5], cf.getFitGoodness()); resA.put(headerA[6], diameter); return resA; }
https://github.com/miura/ijmacros/blob/master/roiProfileGaussFitterV3.js
3DViewer has many capability in plotting 3D scenes, including time series. Api is available at here. Examples could be found in the website.
Version of Java3D is a critical issue for programming 3DViewer. Since upgrading Java does not in many cases means automatic upgrading of Java3D in your Java extension folder, this could be a problem during development. Here is a way to check your Java3D version.
%gist(1663134)% [gist cmci/1663134]
I use tubes for plotting trajectories. Here is an example. It seems that there will be newer class called customnode.Tube becoming available soon (as of 20111219). Since Point3d class is directly used in this new class, I will replace the code below, but this old one might still is informative as an example of using Java array.
// test for Mesh_Maker,createTube importClass(Packages.java.util.Vector); importPackage(Packages.ij3d); importClass(Packages.customnode.CustomTriangleMesh); importClass(Packages.javax.vecmath.Color3f); col = Color3f(0, 1.0, 0.5); col2 = Color3f(1.0, 0, 0); colw = Color3f(1.0, 1.0, 1.0); var xA = javaArray(1, 10); var yA = javaArray(1, 10); var zA = javaArray(1, 10); var rA = javaArray(1, 1); var tube = Mesh_Maker.createTube(xA, yA, zA, rA, 20, false); var xA = javaArray(10, 20); var yA = javaArray(10, 20); var zA = javaArray(10, 10); var rA = javaArray(1, 1); var tube2 = Mesh_Maker.createTube(xA, yA, zA, rA, 20, false); var tubes = Vector(); tubes.addAll(tube); tubes.addAll(tube2); var csp = CustomTriangleMesh(tubes, colw, 0.0); var ccs = ContentCreator.createContent(csp, "tubetime test", 0); univ = new Image3DUniverse(); univ.show(); univ.addContent(ccs); function javaArray(sp, ep){ ja = new java.lang.reflect.Array.newInstance(java.lang.Double.TYPE, 2); ja[0] = sp; ja[1] = ep; return ja; }