GPU-accelerated image processing in ImageJ using CLIJ
Computes the absolute value of every individual pixel x in a given image.
f(x) = |x|
Parameters: Image source, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_absolute(source, destination);
Ext.CLIJ_pull(destination);
Adds a scalar value s to all pixels x of a given image X.
f(x, s) = x + s
Parameters: Image source, Image destination, Number scalar
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_addImageAndScalar(source, destination, scalar);
Ext.CLIJ_pull(destination);
Calculates the sum of pairs of pixels x and y of two images X and Y.
f(x, y) = x + y
Parameters: Image summand1, Image summand2, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(summand1);
Ext.CLIJ_push(summand2);
Ext.CLIJ_addImages(summand1, summand2, destination);
Ext.CLIJ_pull(destination);
Calculates the sum of pairs of pixels x and y from images X and Y weighted with factors a and b.
f(x, y, a, b) = x * a + y * b
Parameters: Image summand1, Image summand2, Image destination, Number factor1, Number factor2
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(summand1);
Ext.CLIJ_push(summand2);
Ext.CLIJ_addImagesWeighted(summand1, summand2, destination, factor1, factor2);
Ext.CLIJ_pull(destination);
CLIJ affineTransform is deprecated. Use affineTransform2D or affineTransform3D instead.
Applies an affine transform to a 3D image. Individual transforms must be separated by spaces.
Supported transforms:
Example transform: transform = “center scale=2 rotate=45 -center”;
Parameters: Image source, Image destination, String transform
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_affineTransform(source, destination, transform);
Ext.CLIJ_pull(destination);
Applies an affine transform to a 2D image. Individual transforms must be separated by spaces.
Supported transforms:
Example transform: transform = “center scale=2 rotate=45 -center”;
Parameters: Image source, Image destination, String transform
Available for: 2D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_affineTransform2D(source, destination, transform);
Ext.CLIJ_pull(destination);
Applies an affine transform to a 3D image. Individual transforms must be separated by spaces.
Supported transforms:
Example transform: transform = “center scale=2 rotate=45 -center”;
Parameters: Image source, Image destination, String transform
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_affineTransform3D(source, destination, transform);
Ext.CLIJ_pull(destination);
Deforms an image according to distances provided in the given vector images. It is recommended to use 32-bit images for input, output and vector images.
Parameters: Image source, Image vectorX, Image vectorY, Image destination
Available for: 2D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_push(vectorX);
Ext.CLIJ_push(vectorY);
Ext.CLIJ_applyVectorField2D(source, vectorX, vectorY, destination);
Ext.CLIJ_pull(destination);
Deforms an image stack according to distances provided in the given vector image stacks. It is recommended to use 32-bit image stacks for input, output and vector image stacks.
Parameters: Image source, Image vectorX, Image vectorY, Image vectorZ, Image destination
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_push(vectorX);
Ext.CLIJ_push(vectorY);
Ext.CLIJ_push(vectorZ);
Ext.CLIJ_applyVectorField3D(source, vectorX, vectorY, vectorZ, destination);
Ext.CLIJ_pull(destination);
Determines the maximum projection of an image stack along Z. Furthermore, another 2D image is generated with pixels containing the z-index where the maximum was found (zero based).
Parameters: Image source, Image destination_max, Image destination_arg_max
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_argMaximumZProjection(source, destination_max, destination_arg_max);
Ext.CLIJ_pull(destination_max);
Ext.CLIJ_pull(destination_arg_max);
The automatic thresholder utilizes the threshold methods from ImageJ on a histogram determined on the GPU to create binary images as similar as possible to ImageJ ‘Apply Threshold’ method. Enter one of these methods in the method text field: [Default, Huang, Intermodes, IsoData, IJ_IsoData, Li, MaxEntropy, Mean, MinError, Minimum, Moments, Otsu, Percentile, RenyiEntropy, Shanbhag, Triangle, Yen]
Parameters: Image input, Image destination, String method
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(input);
Ext.CLIJ_automaticThreshold(input, destination, method);
Ext.CLIJ_pull(destination);
Computes a binary image (containing pixel values 0 and 1) from two images X and Y by connecting pairs of pixels x and y with the binary AND operator &. All pixel values except 0 in the input images are interpreted as 1.
f(x, y) = x & y
Parameters: Image operand1, Image operand2, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(operand1);
Ext.CLIJ_push(operand2);
Ext.CLIJ_binaryAnd(operand1, operand2, destination);
Ext.CLIJ_pull(destination);
Computes a binary image (containing pixel values 0 and 1) from an image X by negating its pixel values x using the binary NOT operator ! All pixel values except 0 in the input image are interpreted as 1.
f(x) = !x
Parameters: Image source, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_binaryNot(source, destination);
Ext.CLIJ_pull(destination);
Computes a binary image (containing pixel values 0 and 1) from two images X and Y by connecting pairs of pixels x and y with the binary OR operator |. All pixel values except 0 in the input images are interpreted as 1.<pre>f(x, y) = x | y</pre>
Parameters: Image operand1, Image operand2, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(operand1);
Ext.CLIJ_push(operand2);
Ext.CLIJ_binaryOr(operand1, operand2, destination);
Ext.CLIJ_pull(destination);
Computes a binary image (containing pixel values 0 and 1) from two images X and Y by connecting pairs of pixels x and y with the binary operators AND &, OR | and NOT ! implementing the XOR operator. All pixel values except 0 in the input images are interpreted as 1.
f(x, y) = (x & !y) | (!x & y)
Parameters: Image operand1, Image operand2, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(operand1);
Ext.CLIJ_push(operand2);
Ext.CLIJ_binaryXOr(operand1, operand2, destination);
Ext.CLIJ_pull(destination);
Computes the Gaussian blurred image of an image given two sigma values in X and Y. Thus, the filterkernel can have non-isotropic shape.
The implementation is done separable. In case a sigma equals zero, the direction is not blurred.
Parameters: Image source, Image destination, Number sigmaX, Number sigmaY
Available for: 2D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_blur2D(source, destination, sigmaX, sigmaY);
Ext.CLIJ_pull(destination);
Computes the Gaussian blurred image of an image given two sigma values in X, Y and Z. Thus, the filterkernel can have non-isotropic shape.
The implementation is done separable. In case a sigma equals zero, the direction is not blurred.
Parameters: Image source, Image destination, Number sigmaX, Number sigmaY, Number sigmaZ
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_blur3D(source, destination, sigmaX, sigmaY, sigmaZ);
Ext.CLIJ_pull(destination);
Computes the Gaussian blurred image of an image given two sigma values in X and Y. Thus, the filterkernel can have non-isotropic shape.
The Gaussian blur is applied slice by slice in 2D.
Parameters: Image source, Image destination, Number sigmaX, Number sigmaY
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_blur3DSliceBySlice(source, destination, sigmaX, sigmaY);
Ext.CLIJ_pull(destination);
Determines the center of mass of an image or image stack and writes the result in the results table in the columns MassX, MassY and MassZ.
Parameters: Image source
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_centerOfMass(source);
Outputs information about available OpenCL devices.
Parameters:
Available for:
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_clInfo();
Resets the GPUs memory by deleting all cached images.
Parameters:
Available for:
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_clear();
Convert the input image to a float image with 32 bits per pixel. The target image should not exist with a different type before this method is called.
Parameters: Image source, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_convertFloat(source, destination);
Ext.CLIJ_pull(destination);
Convert the input image to a unsigned integer image with 16 bits per pixel. Pixel values are copied as they are. Use multiplyImageWithScalar in order to scalepixel values when reducing bit-depth to prevent cutting-off intensity ranges. The target image should not exist with a different type before this method is called.
Parameters: Image source, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_convertUInt16(source, destination);
Ext.CLIJ_pull(destination);
Convert the input image to a unsigned integer image with 8 bits per pixel. Pixel values are copied as they are. Use multiplyImageWithScalar in order to scalepixel values when reducing bit-depth to prevent cutting-off intensity ranges. The target image should not exist with a different type before this method is called.
Parameters: Image source, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_convertUInt8(source, destination);
Ext.CLIJ_pull(destination);
Copies an image.
f(x) = x
Parameters: Image source, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_copy(source, destination);
Ext.CLIJ_pull(destination);
This method has two purposes: It copies a 2D image to a given slice z position in a 3D image stack or It copies a given slice at position z in an image stack to a 2D image.
The first case is only available via ImageJ macro. If you are using it, it is recommended that the target 3D image already pre-exists in GPU memory before calling this method. Otherwise, CLIJ create the image stack with z planes.
Parameters: Image source, Image destination, Number sliceIndex
Available for: 3D -> 2D and 2D -> 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_copySlice(source, destination, sliceIndex);
Ext.CLIJ_pull(destination);
Counts non-zero pixels in a sphere around every pixel.Put the number in the result image.
Parameters: Image source, Image destination, Number radiusX, Number radiusY
Available for: 2D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_countNonZeroPixels2DSphere(source, destination, radiusX, radiusY);
Ext.CLIJ_pull(destination);
Counts non-zero pixels in a sphere around every pixel slice by slice in a stack and puts the resulting number in the destination image stack.
Parameters: Image source, Image destination, Number radiusX, Number radiusY
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_countNonZeroPixelsSliceBySliceSphere(source, destination, radiusX, radiusY);
Ext.CLIJ_pull(destination);
Counts non-zero voxels in a sphere around every voxel.Put the number in the result image.
Parameters: Image source, Image destination, Number radiusX, Number radiusY, Number radiusZ
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_countNonZeroVoxels3DSphere(source, destination, radiusX, radiusY, radiusZ);
Ext.CLIJ_pull(destination);
Allocated memory for a new 2D image in the GPU memory. BitDepth must be 8 (unsigned byte), 16 (unsigned short) or 32 (float).
Parameters: Image destination, Number width, Number height, Number bitDepth
Available for: 2D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_create2D(destination, width, height, bitDepth);
Ext.CLIJ_pull(destination);
Allocated memory for a new 3D image in the GPU memory. BitDepth must be 8 (unsigned byte), 16 (unsigned short) or 32 (float).
Parameters: Image destination, Number width, Number height, Number depth, Number bitDepth
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_create3D(destination, width, height, depth, bitDepth);
Ext.CLIJ_pull(destination);
Crops a given rectangle out of a given image.
Note: If the destination image pre-exists already, it will be overwritten and keep it’s dimensions.
Parameters: Image source, Image destination, Number startX, Number startY, Number width, Number height
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_crop2D(source, destination, startX, startY, width, height);
Ext.CLIJ_pull(destination);
Crops a given sub-stack out of a given image stack.
Note: If the destination image pre-exists already, it will be overwritten and keep it’s dimensions.
Parameters: Image source, Image destination, Number startX, Number startY, Number startZ, Number width, Number height, Number depth
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_crop3D(source, destination, startX, startY, startZ, width, height, depth);
Ext.CLIJ_pull(destination);
Detects local maxima in a given square/cubic neighborhood. Pixels in the resulting image are set to 1 if there is no other pixel in a given radius which has a higher intensity, and to 0 otherwise.
Parameters: Image source, Image destination, Number radius
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_detectMaximaBox(source, destination, radius);
Ext.CLIJ_pull(destination);
Detects local maxima in a given square neighborhood of an input image stack. The input image stack is processed slice by slice. Pixels in the resulting image are set to 1 if there is no other pixel in a given radius which has a higher intensity, and to 0 otherwise.
Parameters: Image source, Image destination, Number radius
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_detectMaximaSliceBySliceBox(source, destination, radius);
Ext.CLIJ_pull(destination);
Detects local minima in a given square/cubic neighborhood. Pixels in the resulting image are set to 1 if there is no other pixel in a given radius which has a lower intensity, and to 0 otherwise.
Parameters: Image source, Image destination, Number radius
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_detectMinimaBox(source, destination, radius);
Ext.CLIJ_pull(destination);
Detects local minima in a given square neighborhood of an input image stack. The input image stack is processed slice by slice. Pixels in the resulting image are set to 1 if there is no other pixel in a given radius which has a lower intensity, and to 0 otherwise.
Parameters: Image source, Image destination, Number radius
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_detectMinimaSliceBySliceBox(source, destination, radius);
Ext.CLIJ_pull(destination);
Computes a binary image with pixel values 0 and 1 containing the binary dilation of a given input image. The dilation takes the Moore-neighborhood (8 pixels in 2D and 26 pixels in 3d) into account. The pixels in the input image with pixel value not equal to 0 will be interpreted as 1.
This method is comparable to the ‘Dilate’ menu in ImageJ in case it is applied to a 2D image. The only difference is that the output image contains values 0 and 1 instead of 0 and 255.
Parameters: Image source, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_dilateBox(source, destination);
Ext.CLIJ_pull(destination);
Computes a binary image with pixel values 0 and 1 containing the binary dilation of a given input image. The dilation takes the Moore-neighborhood (8 pixels in 2D and 26 pixels in 3d) into account. The pixels in the input image with pixel value not equal to 0 will be interpreted as 1.
This method is comparable to the ‘Dilate’ menu in ImageJ in case it is applied to a 2D image. The only difference is that the output image contains values 0 and 1 instead of 0 and 255.
This filter is applied slice by slice in 2D.
Parameters: Image source, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_dilateBoxSliceBySlice(source, destination);
Ext.CLIJ_pull(destination);
Computes a binary image with pixel values 0 and 1 containing the binary dilation of a given input image. The dilation takes the von-Neumann-neighborhood (4 pixels in 2D and 6 pixels in 3d) into account. The pixels in the input image with pixel value not equal to 0 will be interpreted as 1.
Parameters: Image source, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_dilateSphere(source, destination);
Ext.CLIJ_pull(destination);
Computes a binary image with pixel values 0 and 1 containing the binary dilation of a given input image. The dilation takes the von-Neumann-neighborhood (4 pixels in 2D and 6 pixels in 3d) into account. The pixels in the input image with pixel value not equal to 0 will be interpreted as 1.
This filter is applied slice by slice in 2D.
Parameters: Image source, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_dilateSphereSliceBySlice(source, destination);
Ext.CLIJ_pull(destination);
Divides two images X and Y by each other pixel wise.
f(x, y) = x / y
Parameters: Image divident, Image divisor, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(divident);
Ext.CLIJ_push(divisor);
Ext.CLIJ_divideImages(divident, divisor, destination);
Ext.CLIJ_pull(destination);
Scales an image using given scaling factors for X and Y dimensions. The nearest-neighbor method is applied. In ImageJ the method which is similar is called ‘Interpolation method: none’.
Parameters: Image source, Image destination, Number factorX, Number factorY
Available for: 2D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_downsample2D(source, destination, factorX, factorY);
Ext.CLIJ_pull(destination);
Scales an image using given scaling factors for X and Y dimensions. The nearest-neighbor method is applied. In ImageJ the method which is similar is called ‘Interpolation method: none’.
Parameters: Image source, Image destination, Number factorX, Number factorY, Number factorZ
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_downsample3D(source, destination, factorX, factorY, factorZ);
Ext.CLIJ_pull(destination);
Scales an image using scaling factors 0.5 for X and Y dimensions. The Z dimension stays untouched. Thus, each slice is processed separately. The median method is applied. Thus, each pixel value in the destination image equals to the median of four corresponding pixels in the source image.
Parameters: Image source, Image destination
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_downsampleSliceBySliceHalfMedian(source, destination);
Ext.CLIJ_pull(destination);
Computes a binary image with pixel values 0 and 1 containing the binary erosion of a given input image. The erosion takes the Moore-neighborhood (8 pixels in 2D and 26 pixels in 3d) into account. The pixels in the input image with pixel value not equal to 0 will be interpreted as 1.
This method is comparable to the ‘Erode’ menu in ImageJ in case it is applied to a 2D image. The only difference is that the output image contains values 0 and 1 instead of 0 and 255.
Parameters: Image source, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_erodeBox(source, destination);
Ext.CLIJ_pull(destination);
Computes a binary image with pixel values 0 and 1 containing the binary erosion of a given input image. The erosion takes the Moore-neighborhood (8 pixels in 2D and 26 pixels in 3d) into account. The pixels in the input image with pixel value not equal to 0 will be interpreted as 1.
This method is comparable to the ‘Erode’ menu in ImageJ in case it is applied to a 2D image. The only difference is that the output image contains values 0 and 1 instead of 0 and 255.
This filter is applied slice by slice in 2D.
Parameters: Image source, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_erodeBoxSliceBySlice(source, destination);
Ext.CLIJ_pull(destination);
Computes a binary image with pixel values 0 and 1 containing the binary erosion of a given input image. The erosion takes the von-Neumann-neighborhood (4 pixels in 2D and 6 pixels in 3d) into account. The pixels in the input image with pixel value not equal to 0 will be interpreted as 1.
Parameters: Image source, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_erodeSphere(source, destination);
Ext.CLIJ_pull(destination);
Computes a binary image with pixel values 0 and 1 containing the binary erosion of a given input image. The erosion takes the von-Neumann-neighborhood (4 pixels in 2D and 6 pixels in 3d) into account. The pixels in the input image with pixel value not equal to 0 will be interpreted as 1.
This filter is applied slice by slice in 2D.
Parameters: Image source, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_erodeSphereSliceBySlice(source, destination);
Ext.CLIJ_pull(destination);
Flips an image in X and/or Y direction depending on boolean flags.
Parameters: Image source, Image destination, Boolean flipX, Boolean flipY
Available for: 2D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_flip2D(source, destination, flipX, flipY);
Ext.CLIJ_pull(destination);
Flips an image in X, Y and/or Z direction depending on boolean flags.
Parameters: Image source, Image destination, Boolean flipX, Boolean flipY, Boolean flipZ
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_flip3D(source, destination, flipX, flipY, flipZ);
Ext.CLIJ_pull(destination);
Computes the gradient of gray values along X. Assuming a, b and c are three adjacent pixels in X direction. In the target image will be saved as: <pre>b’ = c - a;</pre>
Parameters: Image source, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_gradientX(source, destination);
Ext.CLIJ_pull(destination);
Computes the gradient of gray values along Y. Assuming a, b and c are three adjacent pixels in Y direction. In the target image will be saved as: <pre>b’ = c - a;</pre>
Parameters: Image source, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_gradientY(source, destination);
Ext.CLIJ_pull(destination);
Computes the gradient of gray values along Z. Assuming a, b and c are three adjacent pixels in Z direction. In the target image will be saved as: <pre>b’ = c - a;</pre>
Parameters: Image source, Image destination
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_gradientZ(source, destination);
Ext.CLIJ_pull(destination);
Searches in the list of CLIJ commands for a given pattern. Lists all commands in case”” is handed over as parameter.
Parameters: String searchFor
Available for: -
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_help(searchFor);
Determines the histogram of a given image.
Parameters: Image source, Image destination, Number numberOfBins, Number minimumGreyValue, Number maximumGreyValue, Boolean determineMinAndMax
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_histogram(source, destination, numberOfBins, minimumGreyValue, maximumGreyValue, determineMinAndMax);
Ext.CLIJ_pull(destination);
Computes the negative value of all pixels in a given image. It is recommended to convert images to 32-bit float before applying this operation.
f(x) = - x
For binary images, use binaryNot.
Parameters: Image source, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_invert(source, destination);
Ext.CLIJ_pull(destination);
Computes a binary image with pixel values 0 and 1 depending on if a pixel value x in image X was above of equal to the pixel value m in mask image M.
f(x) = (1 if (x >= m)); (0 otherwise)
Parameters: Image source, Image localThreshold, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_push(localThreshold);
Ext.CLIJ_localThreshold(source, localThreshold, destination);
Ext.CLIJ_pull(destination);
Computes a masked image by applying a mask to an image. All pixel values x of image X will be copied to the destination image in case pixel value m at the same position in the mask image is not equal to zero.
f(x,m) = (x if (m != 0); (0 otherwise))
Parameters: Image source, Image mask, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_push(mask);
Ext.CLIJ_mask(source, mask, destination);
Ext.CLIJ_pull(destination);
Computes a masked image by applying a 2D mask to an image stack. All pixel values x of image X will be copied to the destination image in case pixel value m at the same spatial position in the mask image is not equal to zero.
f(x,m) = (x if (m != 0); (0 otherwise))
Parameters: Image source, Image mask, Image destination
Available for: 3D (first parameter), 2D (second parameter), 3D (result)
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_push(mask);
Ext.CLIJ_maskStackWithPlane(source, mask, destination);
Ext.CLIJ_pull(destination);
Computes the local maximum of a pixels rectangular neighborhood. The rectangles size is specified by its half-width and half-height (radius).
Parameters: Image source, Image destination, Number radiusX, Number radiusY
Available for: 2D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_maximum2DBox(source, destination, radiusX, radiusY);
Ext.CLIJ_pull(destination);
Computes the local maximum of a pixels ellipsoidal neighborhood. The ellipses size is specified by its half-width and half-height (radius).
Parameters: Image source, Image destination, Number radiusX, Number radiusY
Available for: 2D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_maximum2DSphere(source, destination, radiusX, radiusY);
Ext.CLIJ_pull(destination);
Computes the local maximum of a pixels cube neighborhood. The cubes size is specified by its half-width, half-height and half-depth (radius).
Parameters: Image source, Image destination, Number radiusX, Number radiusY, Number radiusZ
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_maximum3DBox(source, destination, radiusX, radiusY, radiusZ);
Ext.CLIJ_pull(destination);
Computes the local maximum of a pixels spherical neighborhood. The spheres size is specified by its half-width, half-height and half-depth (radius).
Parameters: Image source, Image destination, Number radiusX, Number radiusY, Number radiusZ
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_maximum3DSphere(source, destination, radiusX, radiusY, radiusZ);
Ext.CLIJ_pull(destination);
Computes the maximum of a constant scalar s and each pixel value x in a given image X.
f(x, s) = max(x, s)
Parameters: Image source, Image destination, Number scalar
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_maximumImageAndScalar(source, destination, scalar);
Ext.CLIJ_pull(destination);
Computes the maximum of a pair of pixel values x, y from two given images X and Y.
f(x, y) = max(x, y)
Parameters: Image source1, Image source2, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source1);
Ext.CLIJ_push(source2);
Ext.CLIJ_maximumImages(source1, source2, destination);
Ext.CLIJ_pull(destination);
Determines the maximum of all pixels in a given image. It will be stored in a new row of ImageJs Results table in the column ‘Max’.
Parameters: Image source
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_maximumOfAllPixels(source);
Computes the local maximum of a pixels ellipsoidal 2D neighborhood in an image stack slice by slice. The ellipses size is specified by its half-width and half-height (radius).
This filter is applied slice by slice in 2D.
Parameters: Image source, Image destination, Number radiusX, Number radiusY
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_maximumSliceBySliceSphere(source, destination, radiusX, radiusY);
Ext.CLIJ_pull(destination);
Determines the maximum projection of an image along a given dimension. Furthermore, the X and Y dimesions of the resulting image must be specified by the user according to its definition: X = 0 Y = 1 Z = 2
Parameters: Image source, Image destination_max, Number dimensionX, Number dimensionY, Number projectedDimension
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_maximumXYZProjection(source, destination_max, dimensionX, dimensionY, projectedDimension);
Ext.CLIJ_pull(destination_max);
Determines the maximum projection of an image along Z.
Parameters: Image source, Image destination_max
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_maximumZProjection(source, destination_max);
Ext.CLIJ_pull(destination_max);
Computes the local mean average of a pixels rectangular neighborhood. The rectangles size is specified by its half-width and half-height (radius).
Parameters: Image source, Image destination, Number radiusX, Number radiusY
Available for: 2D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_mean2DBox(source, destination, radiusX, radiusY);
Ext.CLIJ_pull(destination);
Computes the local mean average of a pixels ellipsoidal neighborhood. The ellipses size is specified by its half-width and half-height (radius).
Parameters: Image source, Image destination, Number radiusX, Number radiusY
Available for: 2D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_mean2DSphere(source, destination, radiusX, radiusY);
Ext.CLIJ_pull(destination);
Computes the local mean average of a pixels cube neighborhood. The cubes size is specified by its half-width, half-height and half-depth (radius).
Parameters: Image source, Image destination, Number radiusX, Number radiusY, Number radiusZ
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_mean3DBox(source, destination, radiusX, radiusY, radiusZ);
Ext.CLIJ_pull(destination);
Computes the local mean average of a pixels spherical neighborhood. The spheres size is specified by its half-width, half-height and half-depth (radius).
Parameters: Image source, Image destination, Number radiusX, Number radiusY, Number radiusZ
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_mean3DSphere(source, destination, radiusX, radiusY, radiusZ);
Ext.CLIJ_pull(destination);
Determines the mean average of all pixels in a given image. It will be stored in a new row of ImageJs Results table in the column ‘Mean’.
Parameters: Image source
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_meanOfAllPixels(source);
Computes the local mean average of a pixels ellipsoidal 2D neighborhood in an image stack slice by slice. The ellipses size is specified by its half-width and half-height (radius).
This filter is applied slice by slice in 2D.
Parameters: Image source, Image destination, Number radiusX, Number radiusY
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_meanSliceBySliceSphere(source, destination, radiusX, radiusY);
Ext.CLIJ_pull(destination);
Determines the mean average projection of an image along Z.
Parameters: Image source, Image destination
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_meanZProjection(source, destination);
Ext.CLIJ_pull(destination);
Computes the local median of a pixels rectangular neighborhood. The rectangle is specified by its half-width and half-height (radius).
For technical reasons, the area of the rectangle must have less than 1000 pixels.
Parameters: Image source, Image destination, Number radiusX, Number radiusY
Available for: 2D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_median2DBox(source, destination, radiusX, radiusY);
Ext.CLIJ_pull(destination);
Computes the local median of a pixels ellipsoidal neighborhood. The ellipses size is specified by its half-width and half-height (radius).
For technical reasons, the area of the ellipse must have less than 1000 pixels.
Parameters: Image source, Image destination, Number radiusX, Number radiusY
Available for: 2D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_median2DSphere(source, destination, radiusX, radiusY);
Ext.CLIJ_pull(destination);
Computes the local median of a pixels cuboid neighborhood. The cuboid size is specified by its half-width, half-height and half-depth (radius).
For technical reasons, the volume of the cuboid must contain less than 1000 voxels.
Parameters: Image source, Image destination, Number radiusX, Number radiusY, Number radiusZ
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_median3DBox(source, destination, radiusX, radiusY, radiusZ);
Ext.CLIJ_pull(destination);
Computes the local median of a pixels spherical neighborhood. The spheres size is specified by its half-width, half-height and half-depth (radius).
For technical reasons, the volume of the sphere must contain less than 1000 voxels.
Parameters: Image source, Image destination, Number radiusX, Number radiusY, Number radiusZ
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_median3DSphere(source, destination, radiusX, radiusY, radiusZ);
Ext.CLIJ_pull(destination);
Computes the local median of a pixels rectangular neighborhood. This is done slice-by-slice in a 3D image stack. The rectangle is specified by its half-width and half-height (radius).
For technical reasons, the area of the rectangle must have less than 1000 pixels.
Parameters: Image source, Image destination, Number radiusX, Number radiusY
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_medianSliceBySliceBox(source, destination, radiusX, radiusY);
Ext.CLIJ_pull(destination);
Computes the local median of a pixels ellipsoidal neighborhood. This is done slice-by-slice in a 3D image stack. The ellipses size is specified by its half-width and half-height (radius).
For technical reasons, the area of the ellipse must have less than 1000 pixels.
Parameters: Image source, Image destination, Number radiusX, Number radiusY
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_medianSliceBySliceSphere(source, destination, radiusX, radiusY);
Ext.CLIJ_pull(destination);
Computes the local minimum of a pixels rectangular neighborhood. The rectangles size is specified by its half-width and half-height (radius).
Parameters: Image source, Image destination, Number radiusX, Number radiusY
Available for: 2D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_minimum2DBox(source, destination, radiusX, radiusY);
Ext.CLIJ_pull(destination);
Computes the local minimum of a pixels ellipsoidal neighborhood. The ellipses size is specified by its half-width and half-height (radius).
Parameters: Image source, Image destination, Number radiusX, Number radiusY
Available for: 2D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_minimum2DSphere(source, destination, radiusX, radiusY);
Ext.CLIJ_pull(destination);
Computes the local minimum of a pixels cube neighborhood. The cubes size is specified by its half-width, half-height and half-depth (radius).
Parameters: Image source, Image destination, Number radiusX, Number radiusY, Number radiusZ
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_minimum3DBox(source, destination, radiusX, radiusY, radiusZ);
Ext.CLIJ_pull(destination);
Computes the local minimum of a pixels spherical neighborhood. The spheres size is specified by its half-width, half-height and half-depth (radius).
Parameters: Image source, Image destination, Number radiusX, Number radiusY, Number radiusZ
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_minimum3DSphere(source, destination, radiusX, radiusY, radiusZ);
Ext.CLIJ_pull(destination);
Computes the maximum of a constant scalar s and each pixel value x in a given image X.
f(x, s) = min(x, s)
Parameters: Image source, Image destination, Number scalar
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_minimumImageAndScalar(source, destination, scalar);
Ext.CLIJ_pull(destination);
Computes the minimum of a pair of pixel values x, y from two given images X and Y.
f(x, y) = min(x, y)
Parameters: Image source1, Image source2, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source1);
Ext.CLIJ_push(source2);
Ext.CLIJ_minimumImages(source1, source2, destination);
Ext.CLIJ_pull(destination);
Determines the minimum of all pixels in a given image. It will be stored in a new row of ImageJs Results table in the column ‘Min’.
Parameters: Image source
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_minimumOfAllPixels(source);
Computes the local minimum of a pixels ellipsoidal 2D neighborhood in an image stack slice by slice. The ellipses size is specified by its half-width and half-height (radius).
This filter is applied slice by slice in 2D.
Parameters: Image source, Image destination, Number radiusX, Number radiusY
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_minimumSliceBySliceSphere(source, destination, radiusX, radiusY);
Ext.CLIJ_pull(destination);
Determines the minimum projection of an image along Z.
Parameters: Image source, Image destination_sum
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_minimumZProjection(source, destination_sum);
Ext.CLIJ_pull(destination_sum);
Multiplies all pixels value x in a given image X with a constant scalar s.
f(x, s) = x * s
Parameters: Image source, Image destination, Number scalar
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_multiplyImageAndScalar(source, destination, scalar);
Ext.CLIJ_pull(destination);
Multiplies all pairs of pixel values x and y from two image X and Y.
f(x, y) = x * y
Parameters: Image factor1, Image factor2, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(factor1);
Ext.CLIJ_push(factor2);
Ext.CLIJ_multiplyImages(factor1, factor2, destination);
Ext.CLIJ_pull(destination);
Multiplies all pairs of pixel values x and y from an image stack X and a 2D image Y. x and y are at the same spatial position within a plane.
f(x, y) = x * y
Parameters: Image sourceStack, Image sourcePlane, Image destination
Available for: 3D (first parameter), 2D (second parameter), 3D (result)
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(sourceStack);
Ext.CLIJ_push(sourcePlane);
Ext.CLIJ_multiplyStackWithPlane(sourceStack, sourcePlane, destination);
Ext.CLIJ_pull(destination);
Computes all pixels value x to the power of a given exponent a.
f(x, a) = x ^ a
Parameters: Image source, Image destination, Number exponent
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_power(source, destination, exponent);
Ext.CLIJ_pull(destination);
Copies an image specified by its name from GPU memory back to ImageJ and shows it.
Parameters: String image
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_pull(image);
Copies a binary image specified by its name from GPU memory back to ImageJ and shows it. This binary image will have 0 and 255 pixel intensities as needed for ImageJ to interpret it as binary.
Parameters: String image
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_pullBinary(image);
Copies an image specified by its name to GPU memory in order to process it there later.
Parameters: String image
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(image);
Copies an image specified by its name to GPU memory in order to process it there later.
Parameters: String image
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_pushCurrentSlice(image);
Copies an image specified by its name to GPU memory in order to process it there later.
Parameters: String image
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_pushCurrentZStack(image);
Frees memory of a specified image in GPU memory.
Parameters: String image
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_release(image);
Prints a list of all images cached in the GPU to ImageJs log window together with a sum of memory consumption.
Parameters:
Available for: -
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_reportMemory();
Flippes Y and Z axis of an image stack. This operation is similar to ImageJs ‘Reslice [/]’ method but offers less flexibility such as interpolation.
Parameters: Image source, Image destination
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_resliceBottom(source, destination);
Ext.CLIJ_pull(destination);
Flippes X, Y and Z axis of an image stack. This operation is similar to ImageJs ‘Reslice [/]’ method but offers less flexibility such as interpolation.
Parameters: Image source, Image destination
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_resliceLeft(source, destination);
Ext.CLIJ_pull(destination);
Computes a radial projection of an image stack. Starting point for the line is the center in any X/Y-plane of a given input image stack. This operation is similar to ImageJs ‘Radial Reslice’ method but offers less flexibility.
Parameters: Image source, Image destination, Number numberOfAngles, Number angleStepSize
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_resliceRadial(source, destination, numberOfAngles, angleStepSize);
Ext.CLIJ_pull(destination);
Flippes X, Y and Z axis of an image stack. This operation is similar to ImageJs ‘Reslice [/]’ method but offers less flexibility such as interpolation.
Parameters: Image source, Image destination
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_resliceRight(source, destination);
Ext.CLIJ_pull(destination);
Flippes Y and Z axis of an image stack. This operation is similar to ImageJs ‘Reslice [/]’ method but offers less flexibility such as interpolation.
Parameters: Image source, Image destination
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_resliceTop(source, destination);
Ext.CLIJ_pull(destination);
Rotates an image in plane. All angles are entered in degrees. If the image is not rotated around the center, it is rotated around the coordinate origin.
It is recommended to apply the rotation to an isotropic image.
Parameters: Image source, Image destination, Number angle, Boolean rotateAroundCenter
Available for: 2D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_rotate2D(source, destination, angle, rotateAroundCenter);
Ext.CLIJ_pull(destination);
Rotates an image stack in 3D. All angles are entered in degrees. If the image is not rotated around the center, it is rotated around the coordinate origin.
It is recommended to apply the rotation to an isotropic image stack.
Parameters: Image source, Image destination, Number angleX, Number angleY, Number angleZ, Boolean rotateAroundCenter
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_rotate3D(source, destination, angleX, angleY, angleZ, rotateAroundCenter);
Ext.CLIJ_pull(destination);
Rotates a given input image by 90 degrees counter-clockwise. For that, X and Y axis of an image stack are flipped. This operation is similar to ImageJs ‘Reslice [/]’ method but offers less flexibility such as interpolation.
Parameters: Image source, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_rotateLeft(source, destination);
Ext.CLIJ_pull(destination);
Rotates a given input image by 90 degrees clockwise. For that, X and Y axis of an image stack are flipped. This operation is similar to ImageJs ‘Reslice [/]’ method but offers less flexibility such as interpolation.
Parameters: Image source, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_rotateRight(source, destination);
Ext.CLIJ_pull(destination);
DEPRECATED: CLIJ scale() is deprecated. Use scale2D or scale3D instead!
Parameters: Image source, Image destination, Number scaling_factor, Boolean scale_to_center
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_scale(source, destination, scaling_factor, scale_to_center);
Ext.CLIJ_pull(destination);
Scales an image with a given factor.
Parameters: Image source, Image destination, Number scaling_factor, Boolean scale_to_center
Available for: 2D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_scale2D(source, destination, scaling_factor, scale_to_center);
Ext.CLIJ_pull(destination);
Scales an image with a given factor.
Parameters: Image source, Image destination, Number scaling_factor, Boolean scale_to_center
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_scale3D(source, destination, scaling_factor, scale_to_center);
Ext.CLIJ_pull(destination);
Sets all pixel values x of a given image X to a constant value v.
f(x) = v
Parameters: Image source, Number value
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_set(source, value);
Subtracts one image X from another image Y pixel wise.
f(x, y) = x - y
Parameters: Image subtrahend, Image minuend, Image destination
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(subtrahend);
Ext.CLIJ_push(minuend);
Ext.CLIJ_subtractImages(subtrahend, minuend, destination);
Ext.CLIJ_pull(destination);
Determines the sum of all pixels in a given image. It will be stored in a new row of ImageJs Results table in the column ‘Sum’.
Parameters: Image source
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_sumOfAllPixels(source);
Determines the sum projection of an image along Z.
Parameters: Image source, Image destination_sum
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_sumZProjection(source, destination_sum);
Ext.CLIJ_pull(destination_sum);
Computes a binary image with pixel values 0 and 1. All pixel values x of a given input image with value larger or equal to a given threshold t will be set to 1.
f(x,t) = (1 if (x >= t); (0 otherwise))
This plugin is comparable to setting a raw threshold in ImageJ and using the ‘Convert to Mask’ menu.
Parameters: Image source, Image destination, Number threshold
Available for: 2D, 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_threshold(source, destination, threshold);
Ext.CLIJ_pull(destination);
Translate an image stack in X and Y.
Parameters: Image source, Image destination, Number translateX, Number translateY
Available for: 2D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_translate2D(source, destination, translateX, translateY);
Ext.CLIJ_pull(destination);
Translate an image stack in X, Y and Z.
Parameters: Image source, Image destination, Number translateX, Number translateY, Number translateZ
Available for: 3D
Macro example:
run("CLIJ Macro Extensions", "cl_device=");
Ext.CLIJ_push(source);
Ext.CLIJ_translate3D(source, destination, translateX, translateY, translateZ);
Ext.CLIJ_pull(destination);
122 plugins documented.Back to CLIJ documentation