ASSESSMENT OF CELL COUNTING METHOD BASED ON IMAGE PROCESSING FOR A MICROALGA CULTURE

Authors : Vesile Esra DÖKÜMCÜOĞLU, Mete YILMAZ

Pages : 75-81

Doi:/medfar.v3i54660.659398

View : 12 | Download : 18

Publication Date : 2020-05-31

Article Type : Research Paper

Abstract :Routine monitoring of microalgal growth requires the use of one of several methods such as cell counting under the microscope and measuring optical density insert ignore into journalissuearticles values(OD); with a spectrophotometer. Each of these methods has their advantages and disadvantages. For example, counting cells under the microscope can be time consuming, but it provides the best estimate of cell growth. Measuring OD is much quicker, however it doesn’t provide any information on cell numbers and debris in culture can interfere with OD measurements. Therefore, this study aimed to demonstrate the usefulness of an image processing approach for counting cells in a microalga culture. Results showed that highest correlations were observed between Utermöhl cell counts and OD measurements insert ignore into journalissuearticles values(r=0.99);, ImageJ cell counts and OD measurements insert ignore into journalissuearticles values(r=0.99); and between Utermöhl and ImageJ cell counts insert ignore into journalissuearticles values(r=0.99);. In the regression analysis, highest R2 values were obtained for Utermöhl vs OD insert ignore into journalissuearticles values(R2=0.99); and ImageJ vs OD insert ignore into journalissuearticles values(R2=0.99);. Counting algal cells with ImageJ allows the analyst to complete the procedure 4 times faster than with manual Utermöhl procedure.
Keywords : Microalgae, Cell counting, Utermöhl method, Thoma counting chamber, ImageJ