画像処理エキスパートシステムによるマイクロ・キャリア上動物細胞の視覚認識・計測法

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This paper deals with the expert system for the recognition and counting of cells using image processing. The biological cells are taken from animals and cultured on microcarriers, plastic balls/beads 150-200 micrometers in diameter floating in a culture solution. Cell images are obtained through a microscope attached to a TV camera. The number of cells in the culture vessel increases during a 6=day, and the expert system recognizes the state of cell growth during this time by means of image processing. In particular, the expert system is a more effective way to recognize and cluster cells on densely grown/distributed beads from the gray image data than simple image processing. In this study, we also applied the creature-image-segmentation method, which has previously been proposed by the authors. With this method, we can recognize the cell shape and location, avoiding individual differences on the plastic balls. The effectiveness of this method is shown by experimental results.
1990-03-25