Abstract
A method for analyzing carotenoid content in Haematococcus pluvialis, a green alga was developed using digital image processing (DIP) and an artificial neural network (ANN) model. About 90 images of algal cells in various phases of growth were processed with the tools of DIP. A good correlation of R(2)=0.967 was observed between carotenoid content as estimated by analytical method and DIP. Similar correlation was also observed in case of chlorophyll. Since the conventional methods of carotenoid estimation are time consuming and result in loss of pigments during analysis, DIP method was found to be an effective online monitoring method. This method will be useful in measurement of pigments in cultured cells.
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