multithreaded LMA

src/main/java/Aberration_Calibration.java

@@ -4165,6 +4165,15 @@ if (MORE_BUTTONS) {
 			double rms=            FOCUSING_FIELD.calcErrorDiffY(focusing_fx, false);
 			double rms_pure=       FOCUSING_FIELD.calcErrorDiffY(focusing_fx, true);
 			System.out.println("rms="+rms+", rms_pure="+rms_pure+" - with old parameters may be well off.");
+			if (FOCUS_MEASUREMENT_PARAMETERS.scanRunLMA){
+				FOCUSING_FIELD.setAdjustMode(false);
+				boolean OK=FOCUSING_FIELD.LevenbergMarquardt(
+						null, // measurement
+						false, // true, // open dialog
+	    				true,// boolean autoSel,
+						DEBUG_LEVEL); //boolean openDialog, int debugLevel){
+				if (OK)	saveCurrentConfig();
+			}
 			remoteNotifyComplete();
 			return;
 		}

src/main/java/FocusingField.java

@@ -54,6 +54,7 @@ import org.apache.commons.configuration.XMLConfiguration;
 
 
 
+
 //import Distortions.LMAArrays; // may still reuse?
 import Jama.LUDecomposition;
 import Jama.Matrix;
@@ -236,7 +237,13 @@ public class FocusingField {
 	private double firstRMS=-1.0; // RMS before current series of LMA started
 	private double firstRMSPure=-1.0; // RMS before current series of LMA started
 	
+    public int threadsMax=0; // 0 - old code
+	private boolean multiJacobian=true; // to try multithreaded mode
+
 
+	public void setThreads(int num){
+	    this.threadsMax=num;
+	}
     public void setDefaults(){
     	goodCalibratedSamples=null;
     	sensorWidth=  2592;
@@ -1942,9 +1949,187 @@ public double [] createFXandJacobian( double [] vector, boolean createJacobian){
     commitParameterVector(vector);
     return createFXandJacobian(createJacobian);
 }
+//multiJacobian
+public double [] createFXandJacobian(boolean createJacobian){
+	if (multiJacobian && (threadsMax>0)) return  createFXandJacobianMulti(createJacobian);
+	else return createFXandJacobianSingle(createJacobian);
+}
+public class PartialFXJac{
+	public int index; // measurement number
+	public double f;
+	public double [] jac=null;
+	public PartialFXJac (
+			int index,
+			double f,
+			double [] jac){ //, int num){
+		this.index=index;
+		this.f=f;
+		this.jac=jac; 
+//		if (num>=0) jac=new double [num];
+//		else jac=null;
+//		jac=null;
+	}
+}
+public double [] createFXandJacobianMulti(
+		final boolean createJacobian
+	){
+	long startTime=System.nanoTime();
+	int numCorrPar=fieldFitting.getNumberOfCorrParameters();
+	boolean [] selChannels=fieldFitting.getSelectedChannels();
+	final int [] selChanIndices= new int[selChannels.length];
+	selChanIndices[0]=0;
+	for (int i=1;i<selChanIndices.length;i++){
+		selChanIndices[i]= selChanIndices[i-1]+(selChannels[i-1]?1:0);
+	}
+	final int numPars=fieldFitting.getNumberOfParameters(sagittalMaster);
+	int numRegPars=fieldFitting.getNumberOfRegularParameters(sagittalMaster);
+	final int numSelChn=fieldFitting.getNumberOfChannels();
+	final Thread[] threads = newThreadArray(threadsMax);
+	final ArrayList<ArrayList<PartialFXJac>> fxList = new ArrayList<ArrayList<PartialFXJac>>();
+	for (int ithread = 0; ithread < threads.length; ithread++) {
+		fxList.add(new ArrayList<PartialFXJac>());
+	}
+	// create list of indices of measurements corresponding to new timestamp/sample
+	String prevTimeStamp="";
+	double prevPx=-1,prevPy=-1;
+	final ArrayList<Integer> measIndicesList = new ArrayList<Integer>(dataVector.length/getNumChannels());
+	for (int n=0;n<dataVector.length;n++){
+		MeasuredSample ms=dataVector[n];
+		if (!ms.timestamp.equals(prevTimeStamp) || (ms.px!=prevPx) || (ms.py!=prevPy)){
+			measIndicesList.add(new Integer(n));
+		}
+	}
+//	measIndicesList.add(new Integer(dataVector.length));
+	final AtomicInteger measIndex = new AtomicInteger(0);
+	final AtomicInteger threadIndexAtomic = new AtomicInteger(0);
+//	final boolean [] falseFalse={false,false};
+	final boolean [] centerSelect=correct_measurement_ST?fieldFitting.getCenterSelect():null; //falseFalse;
+	for (int ithread = 0; ithread < threads.length; ithread++) {
+		
+		threads[ithread] = new Thread() {
+			public void run() {
+				int threadIndex=threadIndexAtomic.getAndIncrement();
+				fxList.get(threadIndex).clear(); // not needed
+				double [][] derivs;
+				for (int startMeasIndex=measIndex.getAndIncrement(); startMeasIndex<measIndicesList.size();startMeasIndex=measIndex.getAndIncrement()){
+					int startMeas=measIndicesList.get(startMeasIndex);
+					int endMeas=(startMeasIndex==(measIndicesList.size()-1))?dataVector.length:measIndicesList.get(startMeasIndex+1);
+					MeasuredSample ms=dataVector[startMeas];
+					derivs=createJacobian?(new double[numSelChn][]):null;
+					double [] subData=fieldFitting.getValsDerivatives(
+							ms.sampleIndex,
+							sagittalMaster,
+							ms.motors, // 3 motor coordinates
+							ms.px, // pixel x
+							ms.py, // pixel y
+							derivs);
+					for (int n=startMeas;n<endMeas;n++){
+						int chn=selChanIndices[ms.channel];
+						if (centerSelect!=null){
+							int np=0;
+							for (int i=0;i<2;i++) if (centerSelect[i]){
+								derivs[chn][np++]-=ms.dPxyc[i]; // subtract, as effect is opposite to fX
+							}
+						}
+						PartialFXJac partialFXJac = new PartialFXJac(n,
+								subData[chn],
+								derivs[chn]);
+						fxList.get(threadIndex).add(partialFXJac);
+					}
 
+				}
 
-public double [] createFXandJacobian(boolean createJacobian){
+			}
+		};
+	}
+	startAndJoin(threads);
+	if (debugLevel>1) System.out.println("#1 @ "+ IJ.d2s(0.000000001*(System.nanoTime()-startTime),5));
+//	Combibe results
+	double [] fx=new double[dataVector.length + numCorrPar ];
+	if (createJacobian) {
+		jacobian=new double [numPars][dataVector.length+numCorrPar];
+		for (double [] row : jacobian) 	Arrays.fill(row, 0.0);
+	}
+	
+	for (ArrayList<PartialFXJac> partilaList:fxList){
+		for (PartialFXJac partialFXJac:partilaList){
+			int n=partialFXJac.index;
+			fx[n]=partialFXJac.f;
+			if (createJacobian){
+				for (int i=0;i<numPars;i++){
+					jacobian[i][n]=partialFXJac.jac[i];
+				}
+			}
+		}
+	}
+	if (debugLevel>1) System.out.println("#2 @ "+ IJ.d2s(0.000000001*(System.nanoTime()-startTime),5));
+	if (createJacobian && (fieldFitting.sampleCorrChnParIndex!=null)) {
+		// add mutual dependence of correction parameters. first - values (fx)
+		int index=dataVector.length; // add to the end of vector
+		int numSamples=getNumSamples();
+		for (int chn=0;chn<fieldFitting.sampleCorrChnParIndex.length;chn++) if (fieldFitting.sampleCorrChnParIndex[chn]!=null) {
+			for (int np=0;np<fieldFitting.sampleCorrChnParIndex[chn].length;np++){
+				int pindex=fieldFitting.sampleCorrChnParIndex[chn][np];
+				if (pindex>=0) {
+					for (int i=0;i<numSamples;i++){
+						double f=0.0;
+						for (int j=0;j<numSamples;j++){
+							f+=fieldFitting.sampleCorrVector[pindex+j]*fieldFitting.sampleCorrCrossWeights[chn][np][i][j];
+						}
+						fx[index]=f;
+						//                                 f+=fieldFitting.sampleCorrVector[pindex+i]
+						if (createJacobian) {
+							for (int j=0;j<numSamples;j++){
+								jacobian[numRegPars+pindex+j][index]=fieldFitting.sampleCorrCrossWeights[chn][np][i][j];
+							}
+						}                         
+						index++;
+					}
+				}
+			}
+		}
+	}
+	if (debugLevel>1) System.out.println("#3 @ "+ IJ.d2s(0.000000001*(System.nanoTime()-startTime),5));
+	if (createJacobian && (debugLevel>1)){
+		if (debugPoint>=0) debugJacobianPoint(debugPoint);
+		if (debugParameter>=0) debugJacobianParameter(debugParameter);
+	}
+	if (debugLevel>1) System.out.println("#4 @ "+ IJ.d2s(0.000000001*(System.nanoTime()-startTime),5));
+	return fx;
+
+}
+	/* Create a Thread[] array as large as the number of processors available.
+	 * From Stephan Preibisch's Multithreading.java class. See:
+	 * http://repo.or.cz/w/trakem2.git?a=blob;f=mpi/fruitfly/general/MultiThreading.java;hb=HEAD
+	 */
+	private Thread[] newThreadArray(int maxCPUs) {
+		int n_cpus = Runtime.getRuntime().availableProcessors();
+		if (n_cpus>maxCPUs)n_cpus=maxCPUs;
+		return new Thread[n_cpus];
+	}
+	/* Start all given threads and wait on each of them until all are done.
+	 * From Stephan Preibisch's Multithreading.java class. See:
+	 * http://repo.or.cz/w/trakem2.git?a=blob;f=mpi/fruitfly/general/MultiThreading.java;hb=HEAD
+	 */
+	private static void startAndJoin(Thread[] threads)
+	{
+		for (int ithread = 0; ithread < threads.length; ++ithread)
+		{
+			threads[ithread].setPriority(Thread.NORM_PRIORITY);
+			threads[ithread].start();
+		}
+
+		try
+		{   
+			for (int ithread = 0; ithread < threads.length; ++ithread)
+				threads[ithread].join();
+		} catch (InterruptedException ie)
+		{
+			throw new RuntimeException(ie);
+		}
+	}
+
+	public double [] createFXandJacobianSingle(boolean createJacobian){
 	int numCorrPar=fieldFitting.getNumberOfCorrParameters();
 	double [] fx=new double[dataVector.length + numCorrPar ];
 	double [][] derivs=null;
@@ -1967,11 +2152,6 @@ public double [] createFXandJacobian(boolean createJacobian){
 	double prevPx=-1,prevPy=-1;
 	for (int n=0;n<dataVector.length;n++){
 		MeasuredSample ms=dataVector[n];
-//		int saveDebugLevel=debugLevel;
-//		if (n==9) {
-//			System.out.println("createFXandJacobian(): n="+n);
-//			debugLevel=10;
-//		}
 		if (!ms.timestamp.equals(prevTimeStamp) || (ms.px!=prevPx) || (ms.py!=prevPy)){
 			subData=fieldFitting.getValsDerivatives(
 					ms.sampleIndex,
@@ -1984,7 +2164,6 @@ public double [] createFXandJacobian(boolean createJacobian){
 			prevPx=ms.px;
 			prevPy=ms.py;
 		}
-//		debugLevel=saveDebugLevel; // restore debugLevel
 		fx[n]=subData[selChanIndices[ms.channel]];
 		if (createJacobian) {
 			double [] thisDerivs=derivs[selChanIndices[ms.channel]];
@@ -2011,6 +2190,8 @@ public double [] createFXandJacobian(boolean createJacobian){
 				}
 			}
 		}
+	}
+	if (createJacobian) {
 		// add mutual dependence of correction parameters. first - values (fx)
 //		System.out.println("Using sampleCorrVector 1");
 		int index=dataVector.length; // add to the end of vector
@@ -2611,6 +2792,11 @@ d_s2/d_x0= 2*delta_x*delta_y^2/r2^2
     
     
     public LMAArrays calculateJacobianArrays(double [] fX){
+    	if (multiJacobian && (threadsMax>0)) return  calculateJacobianArraysMulti(fX);
+    	else return calculateJacobianArraysSingle(fX);
+    }
+    
+    public LMAArrays calculateJacobianArraysSingle(double [] fX){
     	// calculate JtJ
     	double [] diff=calcYminusFx(fX);
     	int numPars=this.jacobian.length; // number of parameters to be adjusted
@@ -2625,7 +2811,6 @@ d_s2/d_x0= 2*delta_x*delta_y^2/r2^2
     			for (int k=0;k<length;k++) JtByJmod[i][j]+=this.jacobian[i][k]*this.jacobian[j][k];
     	}
     	for (int i=0;i<numPars;i++) { // subtract lambda*diagonal , fill the symmetrical half below the diagonal
-//         JtByJmod[i][i]+=lambda*JtByJmod[i][i]; //Marquardt mod
     		for (int j=0;j<i;j++) JtByJmod[i][j]= JtByJmod[j][i]; // it is symmetrical matrix, just copy
     	}
     	for (int i=0;i<numPars;i++) {
@@ -2642,6 +2827,76 @@ d_s2/d_x0= 2*delta_x*delta_y^2/r2^2
     	lMAArrays.jTByDiff=JtByDiff;
     	return lMAArrays;
     }
+
+    public LMAArrays calculateJacobianArraysMulti(double [] fX){
+    	// calculate JtJ
+    	final double [] diff=calcYminusFx(fX);
+    	final int numPars=this.jacobian.length; // number of parameters to be adjusted
+//    	int length=diff.length; // should be the same as this.jacobian[0].length
+    	final double [][] JtByJmod=new double [numPars][numPars]; //Transposed Jacobian multiplied by Jacobian
+    	final double [] JtByDiff=new double [numPars];
+    	
+    	final double [] fWeights=this.dataWeights;
+//    	final double [][] fJacobian=this.jacobian;
+    	final AtomicInteger lineAtomic = new AtomicInteger(0);
+    	final Thread[] threads = newThreadArray(threadsMax);
+    	
+    	for (int ithread = 0; ithread < threads.length; ithread++) {
+    		threads[ithread] = new Thread() {
+    			public void run() {
+    				for (int line=lineAtomic.getAndIncrement(); line<numPars;line=lineAtomic.getAndIncrement()){
+    					double [] sLine=jacobian[line];
+    					if (fWeights!=null){
+    						sLine=jacobian[line].clone();
+    						for (int i=0;i<sLine.length;i++) sLine[i]*=fWeights[i];
+    					}
+    					for (int line2=line;line2<numPars;line2++){
+    						double d=0;
+    						for (int i=0;i<sLine.length;i++) if (sLine[i]!=0.0){
+    							d+=sLine[i]*jacobian[line2][i];
+    						}
+    						JtByJmod[line][line2]=d;
+    					}
+    					double d=0;
+    					for (int i=0;i<sLine.length;i++) if (sLine[i]!=0.0){
+    						d+=sLine[i]*diff[i];
+    					}
+    					JtByDiff[line]=d;
+    				}
+    			} // public void run() {
+    		};
+    	}
+    	startAndJoin(threads);
+/*   		
+    	for (int i=0;i<numPars;i++) for (int j=i;j<numPars;j++){
+    		JtByJmod[i][j]=0.0;
+    		if (this.dataWeights!=null)
+    			for (int k=0;k<length;k++) JtByJmod[i][j]+=this.jacobian[i][k]*this.jacobian[j][k]*this.dataWeights[k];
+    		else
+    			for (int k=0;k<length;k++) JtByJmod[i][j]+=this.jacobian[i][k]*this.jacobian[j][k];
+    	}
+*/    	
+    	for (int i=0;i<numPars;i++) { // subtract lambda*diagonal , fill the symmetrical half below the diagonal
+    		for (int j=0;j<i;j++) JtByJmod[i][j]= JtByJmod[j][i]; // it is symmetrical matrix, just copy
+    	}
+/*    	
+    	for (int i=0;i<numPars;i++) {
+    		JtByDiff[i]=0.0;
+    		if (this.dataWeights!=null)
+    			for (int k=0;k<length;k++) JtByDiff[i]+=this.jacobian[i][k]*diff[k]*this.dataWeights[k];
+    		else
+    			for (int k=0;k<length;k++) JtByDiff[i]+=this.jacobian[i][k]*diff[k];
+
+    	}
+*/
+    	LMAArrays lMAArrays = new LMAArrays();
+    	lMAArrays.jTByJ=JtByJmod;
+    	lMAArrays.jTByDiff=JtByDiff;
+    	return lMAArrays;
+    }
+
+    
+    
     public double [] solveLMA(
             LMAArrays lMAArrays,
             double lambda,
@@ -2763,10 +3018,15 @@ d_s2/d_x0= 2*delta_x*delta_y^2/r2^2
 			String msg="initial Jacobian matrix calculation. Points:"+this.dataValues.length+" Parameters:"+this.currentVector.length;
 			if (debugLevel>1) System.out.println(msg);
 			if (this.updateStatus) IJ.showStatus(msg);
+			System.out.println("*** 1 @ "+ IJ.d2s(0.000000001*(System.nanoTime()-this.startTime),5));
             this.currentfX=createFXandJacobian(this.currentVector, true); // is it always true here (this.jacobian==null)
+			System.out.println("*** 2 @ "+ IJ.d2s(0.000000001*(System.nanoTime()-this.startTime),5));
             this.lMAArrays=calculateJacobianArrays(this.currentfX);
+			System.out.println("*** 3 @ "+ IJ.d2s(0.000000001*(System.nanoTime()-this.startTime),5));
             this.currentRMS= calcErrorDiffY(this.currentfX,false);
+			System.out.println("*** 4 @ "+ IJ.d2s(0.000000001*(System.nanoTime()-this.startTime),5));
             this.currentRMSPure=calcErrorDiffY(this.currentfX, true);
+			System.out.println("*** 5 @ "+ IJ.d2s(0.000000001*(System.nanoTime()-this.startTime),5));
 			msg=this.currentStrategyStep+": initial RMS="+IJ.d2s(this.currentRMS,8)+" (pure RMS="+IJ.d2s(this.currentRMSPure,8)+")"+
 					". Calculating next Jacobian. Points:"+this.dataValues.length+" Parameters:"+this.currentVector.length;
 			if (debugLevel>1) System.out.println(msg);
@@ -2813,10 +3073,16 @@ d_s2/d_x0= 2*delta_x*delta_y^2/r2^2
 // this.savedJacobian=this.jacobian;
 this.savedLMAArrays=lMAArrays.clone();
 this.jacobian=null; // not needed, just to catch bugs
+if (debugLevel>1) System.out.println("*** 6 @ "+ IJ.d2s(0.000000001*(System.nanoTime()-this.startTime),5));
 this.nextfX=createFXandJacobian(this.nextVector,true);
+if (debugLevel>1) System.out.println("*** 7 @ "+ IJ.d2s(0.000000001*(System.nanoTime()-this.startTime),5));
 this.lMAArrays=calculateJacobianArrays(this.nextfX);
+if (debugLevel>1) System.out.println("*** 8 @ "+ IJ.d2s(0.000000001*(System.nanoTime()-this.startTime),5));
 this.nextRMS= calcErrorDiffY(this.nextfX,false);
+if (debugLevel>1) System.out.println("*** 9 @ "+ IJ.d2s(0.000000001*(System.nanoTime()-this.startTime),5));
 this.nextRMSPure= calcErrorDiffY(this.nextfX,true);
+if (debugLevel>1) System.out.println("*** 10 @ "+ IJ.d2s(0.000000001*(System.nanoTime()-this.startTime),5));
+
         this.lastImprovements[1]=this.lastImprovements[0];
         this.lastImprovements[0]=this.currentRMS-this.nextRMS;
 		String msg="currentRMS="+this.currentRMS+
@@ -2937,6 +3203,8 @@ public boolean selectLMAParameters(boolean autoSel){
         gd.addCheckbox("Show modified parameters", this.showParams);
         gd.addCheckbox("Show disabled parameters", this.showDisabledParams);
         gd.addCheckbox("Show per-sample correction parameters", this.showCorrectionParams);
+        gd.addNumericField("Maximal number of threads (0 - old code)", this.threadsMax, 0);
+        //threadsMax
 
         //        gd.addCheckbox("Reset all per-sample corrections to zero", resetCorrections);
 
@@ -2969,6 +3237,7 @@ public boolean selectLMAParameters(boolean autoSel){
         this.showParams= gd.getNextBoolean();
         this.showDisabledParams= gd.getNextBoolean();
         this.showCorrectionParams= gd.getNextBoolean();
+        this.threadsMax= (int) gd.getNextNumber();
 //    if (!keepCorrectionParameters) fieldFitting.resetSampleCorr();
      return true;
 }
@@ -6669,7 +6938,7 @@ public boolean LevenbergMarquardt(
                 int [] motors, // 3 motor coordinates
                 double px, // pixel x
                 double py, // pixel y
-                double [][] deriv // array of (1..6[][], matching getNumberOfChannels) or null if derivatives are not required
+                double [][] deriv // array of (1..6][], matching getNumberOfChannels) or null if derivatives are not required
                 ){
 //    		if (sampleIndex==39) {
 //    			System.out.print("?");

src/main/java/LensAdjustment.java

@@ -307,6 +307,7 @@ public class LensAdjustment {
         public boolean scanTiltEnable=false; //true;  // enable scanning tilt
         public boolean scanTiltReverse=false;  // enable scanning tilt in both directions
         public boolean scanMeasureLast=false;  // Calculate PSF after last move (to original position)
+        public boolean scanRunLMA=true;  // Calculate PSF after last move (to original position)
         public int scanTiltRangeX=14336;    // 4 periods
         public int scanTiltRangeY=14336;    // 4 periods
         public int scanTiltStepsX=24;
@@ -524,6 +525,7 @@ public class LensAdjustment {
                 boolean scanTiltEnable, //=true;  // enable scanning tilt
                 boolean scanTiltReverse,
                 boolean scanMeasureLast,
+                boolean scanRunLMA,
                 int scanTiltRangeX, //=14336;    // 4 periods
                 int scanTiltRangeY, //=14336;    // 4 periods
                 int scanTiltStepsX, //=24;
@@ -669,6 +671,7 @@ public class LensAdjustment {
 			this.scanTiltEnable=scanTiltEnable; //=true;  // enable scanning tilt
 			this.scanTiltReverse=scanTiltReverse;
 			this.scanMeasureLast=scanMeasureLast;
+			this.scanRunLMA=scanRunLMA;
 			this.scanTiltRangeX=scanTiltRangeX; //, //=14336;    // 4 periods
 			this.scanTiltRangeY=scanTiltRangeY; //, //=14336;    // 4 periods
 			this.scanTiltStepsX=scanTiltStepsX; //=24;
@@ -815,6 +818,7 @@ public class LensAdjustment {
     				this.scanTiltEnable,  // enable scanning tilt
     				this.scanTiltReverse,
     				this.scanMeasureLast,
+    				this.scanRunLMA,
     	    		this.scanTiltRangeX,    // 4 periods
     	    		this.scanTiltRangeY,    // 4 periods
     	    		this.scanTiltStepsX,
@@ -966,6 +970,7 @@ public class LensAdjustment {
 			properties.setProperty(prefix+"scanTiltEnable",this.scanTiltEnable+"");  // enable scanning tilt
 			properties.setProperty(prefix+"scanTiltReverse",this.scanTiltReverse+"");
 			properties.setProperty(prefix+"scanMeasureLast",this.scanMeasureLast+"");
+			properties.setProperty(prefix+"scanRunLMA",this.scanRunLMA+"");
 			properties.setProperty(prefix+"scanTiltRangeX",this.scanTiltRangeX+"");    // 4 periods
 			properties.setProperty(prefix+"scanTiltRangeY",this.scanTiltRangeY+"");    // 4 periods
 			properties.setProperty(prefix+"scanTiltStepsX",this.scanTiltStepsX+"");
@@ -1226,6 +1231,9 @@ public class LensAdjustment {
 			if (properties.getProperty(prefix+"scanMeasureLast")!=null)
 				this.scanMeasureLast=Boolean.parseBoolean(properties.getProperty(prefix+"scanMeasureLast"));
 
+			if (properties.getProperty(prefix+"scanRunLMA")!=null)
+				this.scanRunLMA=Boolean.parseBoolean(properties.getProperty(prefix+"scanRunLMA"));
+			
 			if (properties.getProperty(prefix+"scanTiltRangeX")!=null)
 				this.scanTiltRangeX=Integer.parseInt(properties.getProperty(prefix+"scanTiltRangeX"));
 			if (properties.getProperty(prefix+"scanTiltRangeY")!=null)
@@ -1374,6 +1382,8 @@ public class LensAdjustment {
     		gd.addCheckbox    ("Scan for tilt measurement (approximately preserving center)",                    this.scanTiltEnable);
     		gd.addCheckbox    ("Scan for tilt measurement in both directions",                                   this.scanTiltReverse);
     		gd.addCheckbox    ("Calculate PSF after returning to the initial position",                          this.scanMeasureLast);
+    		gd.addCheckbox    ("Calculate model parameters after scanning",                                      this.scanRunLMA);
+    		
     		
     		gd.addNumericField("Full range of scanning motors tilting in X-direction",                           this.scanTiltRangeX, 0,7,"motors steps");
     		gd.addNumericField("Full range of scanning motors tilting in Y-direction",                           this.scanTiltRangeY, 0,7,"motors steps");
@@ -1396,6 +1406,7 @@ public class LensAdjustment {
     		this.scanTiltEnable=             gd.getNextBoolean();
     		this.scanTiltReverse=            gd.getNextBoolean();
             this.scanMeasureLast=            gd.getNextBoolean();
+            this.scanRunLMA=                 gd.getNextBoolean();
     		
     		this.scanTiltRangeX=       (int) gd.getNextNumber();
     		this.scanTiltRangeY=       (int) gd.getNextNumber();