An efficient method for counting DAPI-stained cells using Fiji

Scientific Essay , 2011 , 6 Pages

Biology - Cytology

Counting cells is a crucial procedure in evaluating the success of a treatment. A fast yet exact way of doing this for DAPI-stained cells with the ImageJ-derivate ‘Fiji’ is described in this paper, written as a step-by-step tutorial with screenshots.

An efficient method for counting DAPI-stained cells using Fiji

Ian Levenfus

Stem Cell Biology, Medical Clinic III, Medical Faculty Carl Gustav Carus

Abstract: Counting cells is a crucial procedure in evaluating the success of a treatment. A fast yet exact way of doing this for DAPI-stained cells with the ImageJ-derivate ‘Fiji’ is described in this paper, written as a step-by-step tutorial with screenshots.

Keywords: cell counting, quantity, DAPI, Fiji, ImageJ, tutorial

Counting Process

1. After taking the usual pictures and the DAPI^[1] -stained pictures at the same places (use at least 2 places per well) and putting them into explicitly labelled directories, you are ready to conduct a cell counting.
2. Get Fiji^[2] , an enhanced and extended version of ImageJ. The program offers several different ways to count the cells in an open picture. One of the most exact ways is to use the Fiji plugin ‘Cell counter’ (http://pacific.mpi-cbg.de/wiki/index.php/Cell_Counter).
3. Before you start Fiji, download the plugin from the page mentioned above and put the .jar-file into the ‘plugins’ directory of the Fiji program folder (this directory is full of .jar-files, all of them are plugins).
4. Now you can start Fiji (usually fiji-win32.exe) and open the DAPI-picture where you want to count cells using the ‘File’-menu or just dragging your picture to the program window.

Abbildung in dieser Leseprobe nicht enthalten

Figure 1: Fiji main window with opened DAPI-picture

5. It is better to have the microscopic picture opened alongside the DAPI-picture to recognize places of accumulated dead cells . Yellow squares in the figure below mark places with a big amount of dead cells which should not be counted in most cases or counted separately.

During cell counting, however, you work only with your DAPI-picture where you can count the DAPI-stained nuclei of your cells.

Abbildung in dieser Leseprobe nicht enthalten

Figure 2: Microscopic picture with yellow squares marking areas of dead cells in high density

6. At first, you need to split the channels of the original DAPI-RGB-image. In the ‘Image’-menu, go to the ‘Color’-submenu and choose ‘Split Channels’.

Image -> Color -> Split Channels

7. This function creates three 8-bit grayscale pictures containing red, green and blue components of the original image. As DAPI has its emission maximum in the blue area, only the grayscale picture with the blue components will have a signal: gray and white dots showing the nuclei of the cells (cf. Figure 1) . Windows with green and red signals will be empty (black background), hence you can close them.

8. Now you should have a picture like the one in Figure 4 in front of you. This is your workspace.

[...]

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^[1] DAPI (4',6-Diamidino-2-phenylindole) is a fluorescent stain binding exspecially on DNA.

^[2] Fiji can be downloaded at http://pacific.mpi-cbg.de/wiki/index.php. For this paper, Fiji Heidelberg and Fiji Madison were used.

• College: Dresden Technical University (Medical Faculty Carl Gustav Carus Dresden, Medizinische Klinik III, Stem Cell Biology)
• Author: Ian Levenfus (Author)
• Publication Year: 2011
• Pages: 6
• Catalog Number: V168646
• ISBN (eBook): 9783640862849
• Language: English
• Tags: cell counting, quantity, DAPI, Fiji, ImageJ, tutorial