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ImageJ Seminar: Introduction to Image Analysis 13 October 2009 Jacqui Ross Image analysis questions 1. What do you want to measure in order to get meaningful data?
• Area • Number of particles (e.g. cells)
• Intensity • Size/distribution of particles
• Colour • Particle shape
• Orientation • Colocalisation
• Distance, velocity, etc.
2. Do you need to work in colour or grayscale?
• RGB split channels • Colour thresholding
• Convert to 8bit grayscale • Colour deconvolution
3. Do you want to measure the whole image or specific regions? Do you need to select
the regions using one image and apply it to another?
• Regions of Interest (ROI) and ROI Manager
4. Do you need to use processing filters to facilitate segmentation?
• Background subtraction • Median filter
• Edge detection • Unsharp Mask/Sharpen
• Enhance contrast
5. Do you need to fill holes or separate joining particles?
• Fill holes/Erosion/Dilation/Open/Close
• Watershed
6. Are you measuring relative intensities or do you need to calibrate using standards?
• Calibration
Biomedical Imaging Research Unit School of Medical Sciences
Faculty of Medical and Health Sciences The University of Auckland
Private Bag 92019 Auckland, NZ
Ph: 373 7599 ext. 87438 www.auckland.ac.nz/biru/
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AREA MEASUREMENTS Manual approach: measure the area of structures by drawing a region of interest (ROI)
around them with one of the drawing tools, e.g. freehand, ellipse, rectangle tool. 1. Open the image. Draw the ROI.
2. Go to Analyze-ROI Manager.
3. Then go to Analyze-Set Measurements to select the parameters that you want to
measure.
4. Click on Measure in the ROI Manager window. Results will appear in a Results window.
These results can be saved and are .xls files, i.e. can be opened in Excel. If you go to
Analyze – Measure instead of using the ROI Manager, then you will get results for the
entire image, not just the ROI.
5. You can draw multiple ROIs and add them to the ROI Manager. You can move the ROIs
and update them, rename them, etc. You can also save the set of ROIs. This is a really
good idea as a record of what you have measured. That allows you to reload them or use
them on another image. You can also draw the ROIs onto the image and save it as a
record.
Note: measuring lines or angles manually works the same way except that you select one of the
line tools or the angle tool.
Threshold approach: use thresholding followed by binarising to segment the stained area which you wish to measure (for area measurements where you are not interested in intensity). 1. Open the image. Change to grayscale (Image – Type – 8bit) or go to Image – Color -
RGB Split.
2. Go to Image – Adjust – Threshold. You can select the Auto setting or alternatively move
the sliders yourself until you have all the stained areas selected. You should select dark background if you have a fluorescence or confocal image. (If the Auto setting works well
for you, you could go straight to Process – Binary – Make Binary).
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3. Click Apply to binarise the image if you are not interested in intensity values. The stained
areas which you want to measure will be black. You should not change the defaults unless
you want to measure the unstained areas. ImageJ regards the black areas as the
areas/objects of interest.
4. Go to Analyze – Set Measurements. Choose the parameters you want to measure. If you
are interested in the proportion of area labelled, you may want to select Area Fraction in
addition to Area. Make sure that you include Display Label.
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5. Go to Analyze – Measure. The Results table will come up and you can then save this.
You can also save the binarised image if you want to.
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MEASUREMENT OF NUMBER OF PARTICLES/OBJECTS Manual approach: measure the number of objects by using the Point Selection tool. Necessary if you are unable to threshold your images or if you need to count cells but the cells
are overlapping and will be measured as one object.
1. Click on the Point Selection tool.
2. If you have an RGB image, you can choose the colour that you want to use for the
selections by going to Edit – Options - Colors – Selection. Make sure you choose a
colour that stands out on your image.
3. You should also make the Foreground colour the same as your selection colour. This is
because once you have made the selection and clicked on another object, the selection
point will be filled with the foreground colour.
4. If you have a grayscale image, you will see the colour in gray so you should choose
white/black as your selection and drawing colour. Alternatively, you could change the
image to RGB colour so that the mark is in colour. If you want to measure intensities
(grayscale) at each point, then you need to keep the image in grayscale.
5. Go to Edit – Options – Point Tool and turn on Auto-Measure. You can also choose the
size of the point you want to make to label each object. This size required will depend on
the resolution of your image. You just need it to be big enough to be able to see it. If you
don’t want to automatically label the points, you could select the option to Add to ROI
Manager. In this case, each point selection is added to the ROI Manager and you can
save the selections, etc. and make measurements as you can for any other ROIs.
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6. Now every time you click on the image, a dot will appear and the data will be entered into
the Results window. This includes the x, y z positions and the grayscale value.
7. Use the Magnifying tool if necessary to make the objects (cells) look bigger and the
Hand tool to navigate.
8. When you have completed all your measurements, you can save the image with the
marks on it.
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Grids You can also use a grid if necessary by going to Plugins – Analysis – Grid. You can define the
size of the grid and the points. A plugin for a Chalkley grid is also available (25 random spots).
Threshold approach: use thresholding followed by binarising to segment the objects which you wish to measure. The first part of the procedure is the same as that detailed for Area measurements.
1. Open the image. Change to grayscale (Image – Type – 8bit) or go to Image – Color -
RGB Split.
2. Go to Image – Adjust – Threshold. You can select the Auto setting or alternatively move
the sliders yourself until you have all the stained areas selected. You should select dark background if you have a fluorescence or confocal image.
3. Click Apply to binarise the image if you are not interested in intensity values. The stained
areas which you want to measure will be black. You should not change the defaults unless
you want to measure the unstained areas. ImageJ regards the black areas as the
areas/objects of interest.
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4. Go to Analyze – Set Measurements. Choose the parameters you want to measure. You
may be interested in Shape Descriptors or Feret’s Diameter as well as the number of
particles in the images. Make sure that you include Display Label.
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5. Go to Analyze – Analyze Particles. The success of this depends on the individual objects
being able to be clearly distinguished. Note that you can exclude based on size and
circularity. If you have calibrated your image, then this size will be in whatever unit you are
using (e.g. microns squared). You can also Exclude on Edges, which is the usual
approach since you won’t have the whole particle in the image. Record Starts combined
with Add to Manager, adds all the particle outlines into the ROI Manager.
6. Click on OK to run the analysis.
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7. If you have holes in your particles as shown below, which will affect your measurements,
you could fill these holes by going to Process – Binary – Fill Holes. There is also an
option within the Particle Analyzer to Include Holes but filling the holes prior to analysis
ensures that it is done correctly. Other binary operations such as opening and closing or
dilation and erosion, can also be used and are found under Process - Binary menu.
8. If two particles are joined together, you can use processing filters such as Process –
Binary – Watershed to separate them.
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9. You can use enhancement tools such as Brightness/Contrast or Window/Level to make
the particles easier to segment. There is also a large range of image processing filters and
operations available in ImageJ that can help to enhance contrast, etc. to make the
segmentation easier.
Note: If you don’t want the data for each individual particle, you can just save the Summary.
The outline/mask image can also be saved as a record.
Classify Particles Plugin: Gabriel Landini This is a plugin that works very well, which allows you to classify particles based on certain
morphological attributes such as size, circularity, etc.
This plugin and information about it are available here:
http://www.dentistry.bham.ac.uk/landinig/software/classify/classify.html
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INTENSITY MEASUREMENTS Use thresholding to select the stained area which you wish to measure
1. Open the image. Change to grayscale if necessary (Image – Type – 8bit/16bit or Image
– Color – Split Channels).
2. Go to Image – Adjust – Threshold. You can select the Auto setting or alternatively move
the sliders yourself until you have all the stained areas selected. The displayed histogram
gives you some assistance with this.
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3. Choose Dark background for fluorescence images as shown below.
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4. Click Set to set the threshold of the image. If you want to use a consistent threshold (e.g.
based on your background value), you can type in values.
5. Go to Analyze – Set Measurements. Choose the parameters you want to measure. Make
sure that you select all the gray level measurements. You can change the number of
decimal places if you think you need more than the default (3). You should also select
Limit to Threshold. If you don’t select Limit to Threshold, then the entire image will be
measured, not just the selected area. In some cases, you do want the intensity
measurements for entire image.
6. Go to Analyze – Measure. The Results table will come up and you can then save this.
7. Intensity measurements can also be done within Regions Of Interest (ROIs), e.g. if you
need to exclude an area or if you need to create a number of ROIs of the same size that
you apply to multiple images. In this case, you add each ROI into the ROI Manager and
then once they are all there, click Measure.
Use thresholding to select the particles which you wish to measure Follow Steps 1-5 above then go to Analyze – Analyze Particles as described earlier. In this
case, the image is not converted to binary.
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USING PARTICLE ANALYSIS TO CREATE ROIS Use enhancement filters followed by binarising to segment the objects which you wish to measure. You can also use it to create regions of interest (ROI), that you then apply to a second image.
1. Open your first image (the one you want to use to create the ROIs).
2. Go to Image – Type – 8bit to change the image into grayscale or to Image – Colour –
RGB Split and choose the image which has the most contrast.
3. Go to Image – Adjust Brightness/Contrast to improve the differentiation between the
edges of the objects and the background. You could also use Image – Adjust –
Window/Level.
4. Remove any speckle/noise by using a filter, e.g. Process – Filters – Median.
5. Go to Process – Find Edges to define the boundaries of the objects. (Various other
options such as Process – Enhance contrast can also be used prior to this operation).
(You can also try Process – Filters – Variance, e.g. radius 2 pixels for a similar result).
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6. Go to Process – Binary – Threshold to binarise the image or do it manually by going to
Image – Adjust Threshold and then clicking on Apply once you are satisfied with the
selection.
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7. Now go to Process – Binary – Fill Holes.
8. These gaps in the outlines of the objects can be filled by going to Process – Binary –
Close. This performs a dilation and erosion operation to fill in the outline and small holes
in objects. You can also do the operations separately, i.e. Process – Binary – Dilate.
Then Fill Holes, followed by Process – Binary – Erode. You need to do the opposite
operation, i.e. if you erode, you must then dilate.
If any are not filled as
shown, it means that
some boundaries were not
complete.
Don’t worry about any
objects that are on the
image boundary. These
should not be included in
your analysis.
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9. You can change the options and preview the effect on your image by going to Process –
Binary – Options.
10. If you are really struggling, then you can draw a small line using the pencil tool to fill in the
gap in the boundary. Make sure that the Foreground colour selected is black. You can
use the Magnifying tool to zoom up so that you can see the gap.
11. If you have lots of small particles or particles joined together, then you may want to use
Open to remove these.
12. If you have an image like the one below, try Process – Noise – Remove Outliers as
below. Note that this is the same image but in this case I have omitted the median filter
step, which has resulted in all these small black particles (=noise).
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13. Use the Preview option to show how this will affect the image. Select Dark for a binarised
image.
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14. If you want to analyse the particles, go to Analyze – Analyze Particles. This also will
allow you to add the outline of each nucleus into the ROI Manager to use on the second
image.
15. Now all the measured particles are outlined and each outline is added into the ROI
Manager as a ROI.
16. Another option if you don’t want to go through the Analyse Particles window is simply to
go to Edit – Selection – Create Mask. You then go to Edit - Selection – Create
Selection and add that into the ROI Manager. However, in this case, you will only get one
measurement, since the selection combines all the outlines.
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17. Now go to your second image. Convert it to grayscale.
18. Click on Show All in the ROI Manager. You will see all the ROIs on your second image
as shown below.
19. Make sure that you have all the grayscale measurement parameters selected in Analyze
– Set Measurements.
20.
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21. Click Measure in the ROI Manager.
22. If you want to use a threshold within the ROIs to define the grayscale levels of interest,
you can go to Image – Adjust threshold. In this case, you need to select Limit to
Threshold in the Set Measurements window.
ROI MANAGER Manual Selections Draw a region by using the ROI tools or you specify a size by going to Edit – Selection -
Specify. All ROIs can be saved using the ROI Manager and applied to other images.
Loading ROI Sets
1. Open your image.
2. Go to ROI Manager and click Open.
3. Select the roiSet.zip file that you previously saved. These ROIs will then be inserted into
the ROI Manager. 4. You can then measure, draw, move ROIs, etc.
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Magic Wand Using the Magic Wand and ROI Manager.
1. Open up ROI Manager by going to Analyze – Tools – ROI Manager.
2. Using the binarised image that you have already created, go to the Wand Tool, and click
on one of the filled in objects: The object should then be outlined. Click Add in the ROI
Manager window. There is a tolerance value that you can alter to expand the selection
more according to the
3. Continue until all the nuclei have had ROIs created for them.
4. Then click Save. The ROIs will be saved as a zip file called ROISet. You can change the
name if you like. These ROIs can then be applied to your second image.
5. You can also use the Magic Wand to select grayscale values.
There is a more flexible magic wand tool available at:
http://imagejdocu.tudor.lu/doku.php?id=plugin:segmentation:versatile_wand:start
There is another one which also works in 3D called YAWI at: http://yawi3d.sourceforge.net/
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GEL ANALYSIS Method 1: Gel Plotting Macro: built-in macro available under Analyze – Gels Video tutorial available here:
http://imagejdocu.tudor.lu/doku.php?id=video:analysis:gel_quantification_analysis
1. Open your image.
2. Run background subtraction if necessary to remove uneven background. Keep changing
the radius until no dots are evident.
3. Draw a ROI using the rectangle tool across your first lane.
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4. Go to Analyze – Gels – Select First Lane.
5. Use CTR-2 to copy the selection and move to the second lane. Go to Analyze – Gels –
Select Next Lane. Continue until all the lanes are selected.
6. Then go to Analyze – Gels – Plot Lanes.
7. Draw a line to define the baseline using the straight line tool.
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8. Select each peak using the magic wand tool. Make sure the tolerance on the Magic Wand
is set to 0.
9. As you click on each peak, the area under the peak will be calculated as an area and this
will go into the Results table. These values are the relative intensities of the dots.
10. Go to Analyze – Gels – Label Peaks.
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Method 2: Calculating intensities using ROIs and/or thresholding Some instructions for doing this manually (drawing ROIs) are available here:
http://www.lukemiller.org/journal/2007/08/quantifying-western-blots-without.html
You can also create individual ROIs by hand and then use thresholding to select the grayscale
levels or use the Magic Wand to select each blot as a ROI and adding that into the ROI Manager. Another option to analyze the blots is to treat each spot/blot as a particle and use Analyze
Particles as shown earlier. In this case, you do not make the image binary and select Limit to
Threshold in the Set Measurements window.
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COLOUR DECONVOLUTION Notes on BIRU website: http://www.fmhs.auckland.ac.nz/sms/biru/facilities/analysis_resources.aspx
• Allows you to segment standard histological stain combinations such as Haematoxylin &
Eosin (H & E), and DAB with counterstains such as Haematoxylin or Methyl Green.
• You can also create your own matrices using stained sections or sample areas of your
stained section using a ROI to create the matrices.
• Following deconvolution, thresholding can be used to select the area of interest for
measurements as described above or alternatively the image can be converted straight to
a binary image.
EXAMPLE
1. Open the image. Use Process – Subtract Background if necessary to correct shadow or
colour effects.
2. Go to Plugins – Colour – Colour Deconvolution (or wherever you have placed the
Plugin).
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3. Select the stain of interest, e.g. H & E. Then click OK.
4. The image will then be split into 3 components. If you have a 2 colour stain, then one
image should be white.
5. You can then use thresholding (or make the images binary) and make your
measurements.